CN102368309A - Method and system for supporting urban land utilization and traffic integrated planning policy - Google Patents

Abstract

The invention discloses a method and system for supporting an urban land utilization and traffic integrated planning policy. The method comprises the following steps of: S1, constructing a land utilization model; S2, constructing a traffic planning demand predicting model; S3, judging a convergence property of a traffic accessibility value according to a traffic accessibility value result and an accessibility convergence index obtained according to the traffic planning demand predicting model, if a result indicates no convergence, executing an S4, and if the result indicates convergence, executing an S5; S4, feeding a result of the traffic planning demand predicting model back to the land utilization model, and returning to the S1 to restart a model computing process; and S5, stopping a cyclic feedback process, meanwhile, evaluating results of each land utilization scheme and each traffic planning scheme in real time when the cyclic feedback process is stopped, and selecting a preferential land utilization and traffic planning scheme. According to the invention, the urban land utilization and traffic planning can be realized automatically according to basic data, and the planning efficiency and the reasonableness, the scientificity and the continuity for planning can be improved.

Description

A kind of urban land uses with the integrated programmed decision-making of traffic and supports method and system

Technical field

The invention belongs to the city planning technical field, relate to a kind of programmed decision-making support method, relate in particular to a kind of urban land and use and the integrated programmed decision-making of traffic support method; Simultaneously, the invention still further relates to a kind of urban land uses and the integrated programmed decision-making back-up system of traffic.

Background technology

Abroad, start from the sixties in 20th century, and after the eighties, developed rapidly, accumulated abundant research experience and achievement in research land use and the integrated Study of model of traffic.Below from different perspectives, integrated model is classified, and comment respectively.

(1) based on the division of different structure

Urban land uses and can be divided into three kinds of structure types basically with the traffic interaction model at present: separate (stand-along) structure, coupling (connected) structure and integrated (integrated) structure.

1) isolating construction

Isolating construction is that land use system and traffic system are separated, and does not have direct information feedback loop between the system, thus the comprehensive balance between supply and demand problem of land used and traffic between the taking into account system not.

The isolating construction model comprises the DRAM/EMPAL that is early developed by Putman.The land use model system of model is made up of two modules, i.e. DRAM (disaggregated residential allocation module) module and EMPAL (employment allocation module) module.The DRAM module is carried out dwelling house and is assigned function, and the EMPAL module is then carried out employment and assigned function.LANCON of this external application (land consumption) module is carried out land used consumption analog functuion.The traffic model system is based upon on the four-phase model basis.Between traffic model system and land use model system, direct information feedback loop is not set, can not simulate the interaction and the interactional comprehensive the supply and demand equilibrium of land used and traffic.

2) coupled structure

Though the division is clearly demarcated for land use model system in the coupled structure and traffic model system, respectively take charge of its duty, a linkage interface (system's adjusting) is arranged between these two systems.The effect of this linkage interface is carried out such as functions such as data-switching and the mutual feedbacks of information interchange exactly.

3) integrated morphology

Integrated morphology is that land use model system and traffic model system are combined together.The boundary line of integrated morphology between land use model system and traffic model system become comparatively fuzzy.Land use model system function is not only carried out the function that assign in the space, also carries out the function of space distribution, exports various OD matrixes etc.The then main execution route selection function of while traffic model system.

(2) based on the division of research method

From research method and theoretical foundation, can be divided into following five types: based on the theoretical model of Lowry, based on the model of mathematical programming, based on the model of inputoutput method, based on the model of economic theory with based on the model of microcosmic Simulation.

1) based on the Lowry Study of model

In developed country, since the initial stage sixties just urban land use and traffic mutual relationship and Study of model, 1964, the beginning of having started " land use and traffic interrelationship study " was we can say in the proposition of the auspicious model of famous labor (Lowry)." urban model " (model of metropolis) that external many land use models are traced sth. to its source and can be traced back to Lowry, its space distribution and land use with population, employment, retail (all services and non-key industries) is blended in an iterative process that constantly repeats.The Lowry model is the basis of urban land use and traffic mutual relationship; But because of it comprises the variable and the uncertainty of prediction of interval when long; And the factor that influences the land use development is many especially, and prediction is difficult and complicated especially, and it has received serious limit on using.The scholar had done a large amount of improvement to this afterwards, developed a lot of land uses and traffic mutual relationship model.

First correction model is the metropolis model TOMM that nineteen sixty-five Steger has considered the time, and this model has been introduced the half dynamic and non-characteristics of gathering.1966, Garin was through merging interactional submodel (comprising gravity formulat) in the Lowry model, and with matrix sign The model, simplified the description of model.Nineteen sixty-eight, Goldner gets involved function with chance and substitutes the auspicious Gravity Models of labor, has researched and proposed the PLUM model, has used each sub-district facility rate of growth and employed population ratio simultaneously.1975, the Putman professor (Putman, 1975) of the University of Pennsylvania researched and proposed the settlement distributed model DRAM and employment distributed model EMPAL of non-collection meter.In the period of 1983～1991, people such as Putman (Putman, 1995) have researched and developed first real practical land use-traffic integrated analysis software package ITLUP of the U.S. on the DRAM/EMPAL basis.

2) based on the model of mathematical programming

Mathematical programming model is based on Optimum Theory, urban land use with traffic system in application trace back to the research of nineteen fifty the earliest for people such as Beckmann, but this model only traffic as constraint condition.(Herbert Stevens) use the market mechanism that linear programming is simulated influences the position, and Harris (Harris, 1965) and Wheaton (Wheaton, 1974) has used Nonlinear programming Model for Herbert and Stevens model.People such as Boyce use connecting each other between single goal model discussion inhabitation, employment and the choice for traveling.

The exploitation of model such as TOPAZ, POLUS becomes the mathematical programming class model with application and uses and the ripe sign of traffic system at urban land.The TOPAZ model adopts double-deck planing method, maximizes based on the net profit of land use and distributes the position movable.The POLUS model is widely used in the concrete planning practice.2005; Arild Vold (Arild Vold; 2005) set up the restricted type mathematical programming model of urban transportation and land use system optimization; This model is a target with traffic efficiency maximum and environmental pollution minimum, and utilizes constraint condition that urban transportation and land use variable are limited in the zone of reasonableness, and this model has been obtained effect preferably in the application in Oslo, Norway area.

Model based on mathematical programming is the optimization of realization of goal city's spatial structure with cost minimization or maximizing the benefits, and with clearly defined objective, predictive ability is strong, uses comparatively extensive.But for ease of finding the solution, the researcher often simplifies the modeling condition in a large number, has reduced result's confidence level to a certain extent.

3) based on the model of inputoutput method

Input-output analysis provides one with manufacturing industry and the integrated framework of other key industries activity, and it is incorporated into commecial activity in the urban development process of Lowry model for the basis as external variable and goes.Representative input-output analysis model comprises MEPLAN, TRANUS, Kim, PECAS model etc.Wherein, early stage MEPLAN uses comparatively extensive, and the PECAS model received much concern in recent years.

Among the MEPLAN, the land use system is taken as two markets parallel, that interacting with traffic system, and the behavior in each system all is taken as the signal (expense that comprises trip) of price or similar price.Transport need draws through the prediction that influences each other of itself and space economy system (by the land use model description), and trip distributes and then directly substituted by the stream of commerce of certain form.Series of iterations process between land use and the urban transportation model converts these stream of commerce (labourer, material, service etc.) row matrix that goes out of ad hoc fashion to, after pass-through mode is divided, adopts multipath probability assignments method to be assigned on the road network and gets final product.The dynamic mechanism of MEPLAN is the influence that land use receives land use previous stage and traffic accessibility, and traffic then receives infrastructure and the influence of the current active characteristics that is produced by land use previous stage.In case land price system and trade system change, total system then carries out the transition to another kind of equilibrium state from a kind of equilibrium state.

PECAS (Production; Exchange and Consumption Allocation System; Produce, transaction and consumption assignment-type model system) form, be used for integrated model system (the Robert Johnston of urban land analysis and Traffic Demand Forecasting by land used development module, activity intensity assignment/distribution module and three basic modules of Travel Demand Forecasting module; Michael Mccoy, 2006).This model system is based upon under the comprehensive balance between supply and demand structure; The utilization different techniques parameter and the two clear market mechanisms of purchasing and selling, the various products (commodity, service, labourer, land used etc.) of simulating every profession and trade activity production and consumption from production market to the trade market, again to the process of circulation separately of consumption market.At first, according to the supplydemand relationship of product, position, traffic effectiveness etc., utilization NL (Nested Logit) model is assigned the products in circulation amount between each market; Convert thereof into the transport need amount again, and be loaded on the transportation network, and then the traffic negative utility under definite network loading environment; Then, through traffic negative utility and the further influence all kinds of activities (comprising travel behaviour) next year of position effectiveness.At present, this model has been reined in Hub in Metropolitan Area such as state, Sacramento, the provincial capital, California, Los Angeles such as hilllock and Canadian carga is auspicious and city such as Edmonton is used to set up territory, state or zonal urban land analysis and traffic prediction model by Ohio, USA, Russia.But data aggregation, model parameter estimation and demarcation are still a big difficulty of demanding urgently overcoming in the practical application of PECAS model.

4) based on the model of economic theory

This class model is the basis with the theories of economics, sets up the relation of traffic market and land market, like the relation between transport cost and the land rent etc.Usually, individual (unique user) all adopts the principle of maximization of utility to go to confirm optimum inhabitation position, and this requires them between room rate and transport cost, to compromise.This compromise can be used competitive leasing function (Bid-rent Function) expression, and promptly resident family is ready that the expense that each place of abode is paid is big or small.Consider from supply side, then imagine each place of abode and all rent the highest people of bid.The competitive leasing function is widely used in the present model.

Through introducing linear programming, (Mills, 1974a 1974b) have further described the process of above-mentioned space market equilibrium: when the resident family of all specific income types all be satisfied with oneself position of living in, market then was in steady state (SS) to Mills.Anans (Anans, 1986) and Kim (Kim, 1989) use entropy maximization and network planning theory that this process is expanded respectively.Oppenhein based on the individual choice behavior of maximization of utility with between traffic supply and trip requirements, seek the equilibrium the city system behavior connect.James E.Moore and Tschangho John Kim (James E.Moore, Kim T.J, 1995) take into account environmental factor on the city system model basis of Mill, have set up the integrated model (ILUTE) of land use, traffic and environment.Justin and Roger (Justin, Roger, 2006) then use the relation of double-deck planning theory research traffic and inhabitation addressing, and have set up competitive leasing network equalize model.

5) based on the model of microcosmic Simulation

Based on the method for microcosmic Simulation, at first from a predefined probability distribution, generate some random numbers (representing specific response); Between the characteristic of these responses and specific traveler or choice for traveling, set up contact then, thereby construct detailed travel behaviour or trip active characteristics; At last through simulation, for project study provides the collection evaluation to all individual travel behaviour characteristics.The advantage of this class model is: can personal characteristics and its selection course be merged, be convenient to understand and use; Can tracking control of full process the state of some individualities of simulation (traveler, family, company etc.).Therefore, as long as there is suitable time series data, even under higher collection meter level, also can draw reasonable conclusion through the analysis mode result.

The most representative model is traffic, employment and the inhabitation micro-analysis analogy model MASTER of Britain Mackett (Mackett R.L., 1990) exploitation and the Urban Simulation (UrbanSim) of Washington, DC university city simulation and the exploitation of policy analysis center.The MASTER model utilizes a series of individualities of monte carlo modelling and their family activity decision behavior process.Wherein, the simulation of traffic process is primarily aimed at the mode of transportation etc. that motor vehicle is held photograph person, vehicle owner, vehicle availability and working, they are age, sex, family income, family forms and the function of trip cost.

UrbanSim model (Paul Waddell; 2006) be by the Paul Waddell of University of Washington exploitation; The exploitation of model considered urban development be in time, the space develops, and is personal choice and resident family, commerce, developer, government action results of interaction.Model structure has comprised that reflection through resident family, commerce, developer, action by government that land market interacts and produces, provides the traffic theory structure.Model is clearly integrated policy, and estimates its influence in the land market running.The user can combine various hypothesis through user interface and set up kinds of schemes with outside input, move scenarios afterwards, obtains the result and carries out plan-validation.Table 1 has been listed some classical land uses and the integrated model of traffic.

The integrated model of land use of table 1 part and traffic

(3) relative merits of existing model

Though land use is different on mentality of designing and structure with the integrated plan model of traffic, free and structural interactive relation between the various models.

Above model respectively has relative merits, sees table 2 for details.Wherein Uplan and PECAS (Production, Exchange and Consumption Allocation System) city model has been represented current two great development directions.Uplan usually is known as based on one type on (rule-based) land use model of given principle, though the market behavior of land use behavioral agent can't be simulated by these systems on function, and the variation of these behavioral agents on time and space.But these systems are in the symposial that is primarily aimed at the general public; For the land use planning of public understanding government, let the public participation government draw decision, show the public's vision; Has very positive meaning; Because the public scarcely possesses the professional knowledge of land use model aspect, for the map presented, the land use planning vision then be prone to be accepted comparatively intuitively.Possess the function that part predicts that following land use changes, have further improved space simultaneously.What need mention especially is, ArcGIS itself supports the application program with the VBA programming, and the deficiency of more current land use models in design might remedy through new design fully.In fact, land use model and powerful geographic information database and the map function of ArcGIS are combined the direction of many just developers effort.

The integrated model of land use that table 2 is main and traffic

That PECAS has then represented is fully integrated, based on (market-based) land use model (also therefore being called city model sometimes) in market, possess the fundamental of desirable land use model.Miller etc. cited, adopted this class model comprises MEPLAN, TRANUS, MUSSA, NYMTC-LUM and UrbanSim in practice.These models are when design, and its basic function is exactly for traffic model provides input, and in this sense, these models are roughly the same on function.In addition, analyze from main land use policy (house property tax, strip subsidy, land development fee, public housing, control rule, detailed rule etc.), the function of these models is also identical substantially.But these models have been taked different disposal routes for these key elements, thus with the comparing of desirable land use model, its defective also is not quite similar.The major defect of MEPLAN, TRANUS, MUSSA and NYMTC-LUM is that its industry too collects meter (aggregate), and the too big and uniform space collection in land use sub-district is had the records of distance by the log and spent height.The major defect of UrbanSim is to lack the economics index relevant with land use, can not effectively measure externality of economic activities (externality), can not be with this internatization of externalities.Because very understand the shortcoming of these models, Hunter and Abraham (Abraham) have designed PECAS (Production, Exchange and Consumption Allocation System) city model.Johnston (Johnston) and Mai Kaoyi (McCoy) think after reading and appraising current main cities model; PECAS and UrbanSim belong to the land use model of a new generation; The former has stronger urban economics theoretical foundation, aspect the relation of resolving between economy, soil, traffic and the environment, its special advantages (Robert Johnston is arranged; Michael Mccoy, 2006).Therefore, it is chosen to be Quanzhou land use model of California.

In the California, AB32 (Assembly Bill 32), SB375 (Senate Bill 375) etc. are the law enforcement of target to reduce greenhouse gas emission, and the use of land use model is forced by voluntary guiding.SB375 requires must to have among the RTP of MPO after 1 day January in 2011 content of " sustainable community strategy " or " alternative plan strategy " aspect, and this has exceeded and is merely the category that traffic model provides input.Accomplish this point, MPO just must use the land use model.At present; Except that University of California Davis develops the PECAS model in Quanzhou for California transportation department; 4 big MPO of California are economy/land use model in exploitation PECAS city space also, and medium and small MPO then uses Uplan to carry out the land use far-seeing plan.

Can be contemplated that; The effort of California aspect the reply global warming comprises legislation and the action of having taked, and can exert an influence to other each states of the U.S.; Even might have influence on the legislation of the traffic fund bill of US Congress's next round; Because traffic fund bill SAFETEA-LU (Safe, Accountable, the Flexible in the 2004-2009 of US Congress fiscal year; Efficient, Transportation Equity Act:A Legacy for Users) (this bill has extended on Dec 31st, 2010) encourages the MPO exploitation to use city model to illustrate traffic and economy, soil and environmental relation.New bill might have more concrete content aspect the development and use of city model.In other words, the application of city model will be more and more general.

Use and the integrated model investigation of traffic from urban land, China's research is in this respect started late, and most of research still rests in qualitative analysis and the judgement of introduction and the relationship of the two of external correlation theory and method; Both integrated model aspects, most of research still follows external model and method, does not form theory and the model system of oneself as yet.For example, transport need and land use relational model mainly are the simple modifications to traditional stage Traffic Demand Forecasting model; For the research of middle sight aspect (subregion) land use and traffic interaction relationship, though set up a series of traffic and land use relation mathematic model, practical application is less.Still rare to comprehensive land use of entire city and the integrated model of traffic system.At present, China is in the peak time of urban construction, carries out the research of urban land use and the integrated relational model of traffic, will be the certainty of urban development from now on, and is all the more so in today of stressing energy-saving and emission-reduction, low-carbon economy especially.Simultaneously, this builds promoting the urban transportation system, and China's urban transport problems is analyzed and solved to the interaction of effective coordination land use and traffic system and mutual system relation from root, and the sustainable development in realization city is significant.

Summary of the invention

Technical matters to be solved by this invention is: provide a kind of urban land to use and the integrated programmed decision-making of traffic support method; Can realize automatically the planning of urban land use with traffic is improved rationality, science, the continuation of planning efficiency and planning according to basic data.

In addition, the present invention also provides a kind of urban land to use and the integrated programmed decision-making back-up system of traffic, can realize automatically the planning of urban land use with traffic is improved rationality, science, the continuation of planning efficiency and planning according to basic data.

For solving the problems of the technologies described above, the present invention adopts following technical scheme:

A kind of urban land uses and the integrated programmed decision-making of traffic support method, and said method comprises the steps:

Step S1: make up land use model step; Land use planning with planning year survey region is the basis; Existing urban basic data, the various evaluation factor are converted into the data layout that needs in the land use model, data, the evaluation factor and space requirement data are supplied with in the space after transforming be input in the lump in the land use model;

Step S2: make up traffic programme Forecast Model step; At first need make up the framework of traffic programme model according to the basic data in city, the data importing traffic programme Forecast Model that then the land use model is obtained is as the basic data that makes up the traffic programme Forecast Model; Then carry out Model Calculation, obtain the result of traffic accessibility value, regional intensity value, as the basic data of circulation feedback and evaluate alternatives;

Step S3: the convergence of model is judged; The result of the traffic accessibility value that obtains according to the traffic programme Forecast Model and accessibility convergence index are judged the convergence of traffic accessibility value, if the result does not restrain, and execution in step S4 then; If result's convergence, then execution in step S5;

Step S4: the result of traffic programme model is fed back to the land use model; Traffic accessibility value, regional intensity value that the traffic programme model is obtained convert the data layout that the land use model needs into, turn back to step S1, restart the Model Calculation process;

Step S5: stop the circulation feedback process, the result of each land use scheme and traffic programme scheme chose preferred land use and traffic programme scheme when the evaluation cycle feedback procedure stopped simultaneously.

As a kind of preferred version of the present invention, among the step S2, the computing method of traffic accessibility value are:

The accessibility of traffic zone j

Wherein, t _IjBe the impedance between traffic zone i and the traffic zone j; α is to be the parameter of reflection apart from impedance, traffic trip amount influence degree; T _IjBe the trip abundance between traffic zone i and the traffic zone j;

Calculate the trip abundance T between traffic zone i and the traffic zone j through Gravity Models _Ij

$T_{\mathrm{ij}}=P_i*\frac{A_j*{\mathrm{FF}}_{\mathrm{ij}}}{\underset{1}{\overset{n}{\mathrm{\Σ}}}(A_j*{\mathrm{FF}}_{\mathrm{ij}})};$

Wherein, T _IjBe the trip abundance between traffic zone i and the traffic zone j; P _iTrip generation for traffic zone i; A _jTrip attraction amount for traffic zone j; FF _IjThe trip impedance factor between traffic zone i and the traffic zone j is defined as

T _IjBe trip distance matrix or time matrix; N is the quantity of traffic zone;

In order to realize the circulation feedback process of integrated programmed decision-making support method smoothly; Adopt the method for moving average to come the result of the traffic accessibility value in the cycle of treatment process; The new traffic zone accessibility value that calculates is carried out Difference Calculation; Again traffic zone accessibility value is fed back in the land use model, to guarantee the smooth implementation of circulation feedback process;

$A_j^n=A_j^{n-1}+\frac{{\stackrel{\‾}{A}}_j^n-A_j^{n-1}}{n};$

Wherein:

is the accessibility value that feeds back to the traffic zone j in the land use model after n the calculating;

is the accessibility value of the traffic zone j that calculates for the n time.

As a kind of preferred version of the present invention, among the step S3, it is that the condition of convergence of circulation feedback is that the relative error value of traffic zone accessibility numerical value reaches set convergence index that the traffic zone accessibility reaches stable distinguishing rule;

$\mathrm{\σ}=\frac{\sqrt{\underset{i}{\mathrm{\Σ}}{({\stackrel{\‾}{A}}_j^n-{\stackrel{\‾}{A}}_j^{n-1})}^2}}{\underset{i}{\mathrm{\Σ}}{\stackrel{\‾}{A}}_j^{n-1}};$

Wherein,

is the accessibility of the traffic zone j that calculates for the n time; σ is the relative error value of accessibility;

If critical value is judged in the convergence of the accessibility that

confirms during for model running; During as

, judge that the traffic zone accessibility reaches convergence; During as , judge that then the traffic zone accessibility does not reach the condition of convergence.

As a kind of preferred version of the present invention, among the said step S1, make up UPlan land use model;

Said urban basic data comprises:

Data are supplied with in the space, comprise planned range, traffic zone division figure, overall construction drawing;

The various evaluation factors comprise and encourage the exploitation factor, the restriction exploitation factor, the non-development zones factor;

The space requirement data comprise total population number, the total number of obtaining employment.

As a kind of preferred version of the present invention, among the said step S2, make up Emme traffic programme Forecast Model;

At first need make up the model based framework such as distribution, traffic network of traffic zone, these steps realize through the road network editing machine public transport among the Emme, perhaps import through the road network file that has existed among the CIS;

After putting up the model based framework; Can realize the computation process of Emme model through macros; The enforcement of macros then need be carried out under the dos order, and calculation procedure concrete in macros is: the straight line trip distance between step S21, the calculating traffic zone; Land use basic data in step S22, the importing initial scheme; Generation, the traffic attraction of step S23, calculating resident trip; Step S24, calculating resident trip distribution matrix; Step S25, calculate sub-district reachability matrix based on air line distance between traffic zone.

As a kind of preferred version of the present invention, among the step S2, the basic framework of traffic programme Forecast Model comprises traffic zone distribution, transportation network, bus routes, on-site investigation data;

Carry out Model Calculation, obtain link flow, vehicle ' time, travel speed, accessibility, regional saturation degree, truck kilometer number, as the basic data of circulation feedback and evaluate alternatives.

As a kind of preferred version of the present invention, said regional saturation degree is the result that the highway section intensity value is focused on the traffic zone and obtains through weighted average calculation, in the saturation degree of zoning with road section length as weight;

AS _i＝∑ _nS _n*L _n/∑ _nL _n；

Wherein, AS _iRegional intensity value for cell i; S _nIntensity value for highway section n in the cell i; L _nLength for highway section n in the cell i;

Zone saturation degree MSA formula:

Wherein:

is the regional saturation degree that feeds back to the traffic zone i in the land use model after n the calculating;

is the regional saturation degree of the traffic zone i that calculates for the n time.

A kind of urban land uses and the integrated programmed decision-making back-up system of traffic, and said system comprises:

The land use model construction module; Land use planning with planning year survey region is the basis; Existing urban basic data, the various evaluation factor are converted into the data layout that needs in the land use model, data, the evaluation factor and space requirement data are supplied with in the space after transforming be input in the lump in the land use model;

The traffic programme Forecast Model makes up module, in order to make up the framework of traffic programme model according to the basic data in city; The data importing traffic programme Forecast Model that then the land use model is obtained is as the basic data that makes up the traffic programme Forecast Model; Then carry out Model Calculation, obtain the result of traffic accessibility value, regional intensity value, as the basic data of circulation feedback and evaluate alternatives;

The convergence judge module, the convergence of judging the traffic accessibility value in order to the result and the accessibility convergence index of the traffic accessibility value that obtains according to the traffic programme Forecast Model;

The circulation feedback module feeds back to the land use model in order to the result with the traffic programme model, and traffic accessibility value, regional intensity value that the traffic programme model is obtained convert the data layout that the land use model needs into.

Beneficial effect of the present invention is: the urban land that the present invention proposes uses with the integrated programmed decision-making of traffic and supports method and system; Can realize automatically the planning of urban land use with traffic is improved rationality, science, the continuation of planning efficiency and planning according to basic data.

Urban transportation system and urban land use system; As the two big elements in city, the coordinated development of the two will help to make up high convenient urban traffic network and organizational framework; Form intensive soil and utilize form; Avoided problems such as traffic congestion, environmental pollution, the wasting of resources to a certain extent, can make that development of city appears rationally, science, efficient, the benign state that continues, made city and physical environment height harmony, coexistence, symbiosis; Be the sustainable development establish a firm foundation in city, thereby contribute for the sustainable development of whole environment for human survival.

The present invention has realized the coordinated development of land use and traffic first from the angle of planning establishment.Chinese scholar is in the exploration of urban land and traffic Study on Integration about 30 years; The influence of traffic is considered in the planning establishment basically; And Making Transport Plans also are the influences of considering space layout; But be subject to the reason of management system, two planning does not realize truly integrated all the time.The portion that firmly builds proposes city integrated railway and highway system planning in February, 2010 and must work out synchronously with overall city planning; This is for realizing the integrated preliminary policy basis that provides; And the integrated planning of urban land that native system proposed and traffic has proposed integrated planning thinking to the planning establishment; For realizing that urban land uses the coordinated development that distributes with traffic programme that technical support is provided, be the innovation of corresponding planning establishment aspect.

The present invention has proposed feedback path and the technology realization thereof of traffic to land use from interactive angles fed back.Native system has been realized the circulation feedback based on the land use and the traffic of traffic accessibility and regional saturation degree, and realizes convergence through the mathematical method of MSA, obtains stable land use distribution and scale.And, from the macroscopic view to the microcosmic point, space layout, function distribution and the plan for land of land use are fed back and adjust in space planning and land use distribution phase.Particularly divided two kinds of application processes, in feedback, also taken into full account of the influence of different traffic policies, deepened the interaction relationship between land use and the traffic land use in the traffic programme decision phase.

The present invention has proposed the notion of regional saturation degree on the basis of traditional highway section saturation degree, the traffic on the highway section is gathered on the traffic zone, reflects the traffic of this traffic zone, for development of city provides the planning foundation.

The present invention has proposed the new definition of traffic accessibility on the basis of traditional traffic accessibility; This definition combines the factor that will consider in traffic programme and the city space planning; Through the traffic trip amount become with traffic trip embody originally the employment and traffic to traffic zone future city Influence and Development

The present invention is the innovation of on traditional planning thinking and method, carrying out; New research method has not only been proposed theoretically; And established and enforce the practical implementation process of this method, be that numerous designers provide a kind of new planning technology with complete planning back-up system.

Description of drawings

Fig. 1 is that " source and course " of soil utilization and city traffic concerns sketch.

Fig. 2 is land use and the integrated programmed decision-making back-up system of traffic research framework figure.

Fig. 3 is land use and the integrated programmed decision-making back-up system of traffic process flow diagram flow chart.

Fig. 4 is a space planning process technology route map.

Fig. 5 is a space planning decision support process algorithm process flow diagram.

Fig. 6 is a traffic programme decision support process technology route map.

Fig. 7 is a traffic programme decision support process algorithm process flow diagram.

Embodiment

Specify the preferred embodiments of the present invention below in conjunction with accompanying drawing.

Embodiment one

The integrated planning of urban land that native system proposed and traffic is the integrated planning thinking that proposes corresponding to the planning establishment; For realizing that urban land uses the coordinated development that distributes with traffic programme that technical support is provided, be the innovation of corresponding planning establishment aspect.The successful realization of the integrated programmed decision-making back-up system of land use and traffic also provides the good technical environment for land use and mutually combining of traffic.

1, the integrated planning back-up system of land use and traffic principle

The interactive relationship of this complicacy that exists between urban transportation and last the utilization shows as a kind of " source and course " relation on macroscopic view, as shown in the figure, and this " source and course " relation has also just constituted the traffic network system in city.

The mutual relationship of soil utilization and urban transportation is mainly reflected in this two aspects; On the one hand; The soil utilization is the source that urban transportation produces, and the intensity (socio-economic activity level) of soil utilization activity and distributing in the city scope affects the demand and the distribution of urban transportation; Simultaneously also require corresponding transport structure and layout to meet the demands, adapt to development of city.In other words, the formulation of soil utilization strategy has determined generation, attraction and the mode of urban transportation to select, and has stipulated urban transportation demand and tactic pattern thereof from macroscopic view; On the other hand; The development of traffic is changed with the layout of land function and the performance of efficient urban structure conversely again and is played a part to induce and limit; Travel pattern has also changed the accessibility of each department, city, and accessibility has decisive role to attribute, structure and the form layout of soil utilization.Therefore connect each other between the two, mutual restriction, be the process of circulating dynamic feedback.

The integrated programmed decision-making back-up system of land use and traffic is on the basis of existing urban land-use planning and Urban Traffic Planning, to realize; Realize integrated programmed decision-making back-up system; At first need find the tie-point between land use planning and the traffic programme; Secondly need set up the circulation feedback relation between land use planning model and the traffic programme model through this tie-point; The process of carrying out circulation feedback obtains final programme, and analyzes this scheme according to relevant evaluating index.

The emphasis of integrated programmed decision-making back-up system research and difficult point are exactly confirming of tie-point; This is because the tie-point of choosing should embody the interaction between land use and the traffic well, can realize the circulation feedback process between land use planning model and the traffic programme model again.Behind the labor of process to land use model and traffic programme model; The population and the post number that obtain in the selected land use model are input in the traffic programme model; The traffic accessibility and the regional saturation degree that obtain through the traffic programme model then feed back in the land use model, and through constringent judgement realizes the circulation feedback process of integrated programmed decision-making back-up system to traffic accessibility.Can obtain the research framework of the integrated programmed decision-making back-up system of land use and traffic programme thus, as shown in the figure.

Land use model and traffic programme model all are relatively ripe models, and therefore the computation process and the result of two models also are fairly perfect, and the emphasis of native system is two circulation feedback processes between the model.In the process of native system circulation feedback, mainly be to use based on the traffic accessibility of traffic zone and two indexs of regional saturation degree approach as feedback cycle.Wherein, regional saturation degree is the factor of restriction urban development, is the circulation feedback index of integrated circulation feedback process.And traffic accessibility is the factor of encouraging urban development, and in integrated feedback cycle process, traffic accessibility promptly is that the circulation feedback index is again to judge the index of loop convergence.

2, the integrated planning feedback of land use and traffic basis

Definition, formula, the calculating principle of the index of using during the native system operation are following:

(1) definition of regional saturation degree

Saturation degree is the ratio of the road actual traffic flow and the traffic capacity, is an important indicator of reflection road traffic condition, also is an important benchmark judging the road service level, is to use a more index in the present traffic programme process.Concrete form of calculation is shown in formula 1.

S=V/C formula 1

In the formula: S---each highway section saturation degree;

V---each highway section actual traffic flow;

The design capacity of C---each road.

On the basis of existing definitions for saturation, we have proposed the notion of regional saturation degree.What the zone saturation degree reflected is the average case of the traffic saturation degree of traffic zone, can reflect the average traffic of traffic zone.The zone saturation degree is the result that the highway section intensity value is focused on the traffic zone and obtains through weighted average calculation, in the saturation degree of zoning with road section length as weight, concrete form of calculation is shown in formula 2.

AS _i=∑ _nS _n* L _n/ ∑ _nL _nFormula 2

In the formula: AS _i---the regional intensity value of cell i;

S _n---the intensity value of highway section n in the cell i;

L _n---the length of highway section n in the cell i.

The zone intensity value is big more, explains that the traffic congestion situation of this area is serious more.Corresponding to the not land development in the coming year; If the regional intensity value in somewhere is big more; The traffic that this area is described has been tending towards saturated, has not had enough traffic operation abilities to bear the redevelopment of land used in coming year not, and therefore regional saturation degree can play the effect of restriction to the exploitation of land used.

(2) definition of traffic accessibility

Accessibility is meant in certain traffic system, arrives the complexity in a certain place.Mainly receive the influence of four factors such as land use, traffic system, time and individual difference.

In the native system, after each item influence factor of having taken all factors into consideration traffic programme process and city planning process, obtained traffic accessibility computing formula based on the traffic trip amount, shown in formula 3:

$A_j=\frac{\underset{i}{\mathrm{\Σ}}{e}^{-a(t_{\mathrm{Ij}}*T_{\mathrm{Ij}})}}{\underset{i}{\mathrm{\Σ}}\underset{j}{\mathrm{\Σ}}{e}^{-a(t_{\mathrm{Ij}}*T_{\mathrm{Ij}})}}$ Formula 3

In the formula: A _j---the accessibility of traffic zone j;

t _Ij---the impedance between traffic zone i and the traffic zone j;

α---be the parameter of reflection, get 2 usually apart from impedance, traffic trip amount influence degree;

T _Ij---the trip abundance between traffic zone i and the traffic zone j.

The trip abundance T between traffic zone i and the traffic zone j wherein _Ij, calculating through Gravity Models, basic computing formula is shown in formula 4:

$T_{\mathrm{ij}}=P_i*\frac{A_j*{\mathrm{FF}}_{\mathrm{ij}}}{\underset{1}{\overset{n}{\mathrm{\Σ}}}(A_j*{\mathrm{FF}}_{\mathrm{ij}})}$

Formula 4

In the formula: T _Ij---the trip abundance between traffic zone i and the traffic zone j

P _i---the trip generation of traffic zone i

A _j---the trip attraction amount of traffic zone j

FF _Ij---the trip impedance factor between traffic zone i and the traffic zone j may be defined as

t _IjBe trip distance matrix or time matrix.

The quantity of n---traffic zone

The traffic accessibility value is big more, and then this traffic zone is big more to the attractive force of the traffic trip of other sub-district.Corresponding to the not soil utilization in the coming year; The traffic accessibility value is big more; Show that then the traffic that arrives this area is more convenient; Have bigger traffic operation ability to bear the redevelopment that coming year, the soil did not utilize, when doing planning, can consider to increase exploitation amount, so traffic accessibility is a factor of encouraging the urban land use exploitation this area.

(3) integrated circulation feedback is calculated principle

Integrated circulation feedback calculating principle based on traffic accessibility and regional saturation degree: a) go out the traffic accessibility and the regional intensity value of each traffic zone according to initial land used Distribution calculation.Then in the space planning model, repartition the distribution of land used, the area that the accessibility value is high more according to this traffic accessibility and regional intensity value; The land used that then can be attracted to is many more, the area that the accessibility value is low more, and the land used that then can be attracted to is few more; And the high more area of regional intensity value, the land used that then can be attracted to is few more, the area that regional intensity value is low more; The land used that then can be attracted to is many more, can obtain new land used thus and distribute.B) in the traffic programme model, distribute according to new land used, calculate corresponding with it traffic zone accessibility and regional intensity value.Those script traffic accessibilities because land used exploitation amount increases, make the traffic trip amount big with the change of trip cost than higher area, have reduced the traffic accessibility of this area, have increased the regional saturation degree of this area.And the lower area of traffic accessibility originally because land used exploitation amount reduces, makes traffic trip amount and trip cost reduce, so the traffic accessibility of this area becomes greatly gradually, and regional intensity value diminishes gradually.C) computation process of repeated space plan model and traffic programme model reaches stable until the variation of traffic accessibility value.Circulation feedback through space planning model and traffic programme model is calculated, and when the result of calculation of traffic accessibility reaches steady state (SS) (i.e. convergence), just can obtain final land used distribution scheme.

In order to realize the circulation feedback process of integrated programmed decision-making back-up system smoothly; Adopt the method for moving average (Method of Successive Average; MSA) come traffic accessibility and the result of regional saturation degree in the cycle of treatment process; The new traffic zone accessibility and the regional saturation value that calculate are carried out Difference Calculation, again traffic zone accessibility and regional saturation value are fed back in the land use model, to guarantee the smooth implementation of circulation feedback process.With the traffic accessibility is example, and the MSA model that cyclic process is used is shown in formula 5.

$A_j^n=A_j^{n-1}+\frac{{\stackrel{\‾}{A}}_j^n-A_j^{n-1}}{n}$ Formula 5

In the formula:

---feed back to the accessibility of the traffic zone j in the land use model after n the calculating;

The accessibility of

---the traffic zone j that calculates for the n time.

Zone saturation degree MSA formula:

${\mathrm{AS}}_i^n={\mathrm{AS}}_i^{n-1}+\frac{\stackrel{\‾}{A}{\stackrel{\‾}{S}}_i^n-\stackrel{\‾}{A}{\stackrel{\‾}{S}}_i^{n-1}}{n};$

In the formula:

---feed back to the regional saturation degree of the traffic zone i in the land use model after n the calculating;

The regional saturation degree of

---the traffic zone i that calculates for the n time.

(4) integrated circulation feedback process convergence index

In the circulation feedback process of integrated programmed decision-making back-up system, the stopping of circulation feedback process calculates traffic accessibility according to traffic model and whether converges to basis for estimation.When traffic zone accessibility numerical value is restrained along with the increase of circulation feedback number of times, think that promptly the circulation feedback model reaches steady state (SS), stop the execution of circulation feedback process.

It is that the condition of convergence of circulation feedback is that the relative error value of traffic zone accessibility numerical value reaches set convergence index that the traffic zone accessibility reaches stable distinguishing rule, and the form of calculation of relative error is shown in formula 6.

$\mathrm{\σ}=\frac{\sqrt{\underset{i}{\mathrm{\Σ}}{({\stackrel{\‾}{A}}_j^n-{\stackrel{\‾}{A}}_j^{n-1})}^2}}{\underset{i}{\mathrm{\Σ}}{\stackrel{\‾}{A}}_j^{n-1}}$ Formula 6

In the formula:

---the accessibility of the traffic zone j that calculates for the n time;

The relative error value of σ---accessibility.

Critical value is judged in the convergence of the accessibility of confirming when supposing

for model running; During as

, judge that the traffic zone accessibility reaches convergence; During as

, judge that then the traffic zone accessibility does not reach the condition of convergence.

3, the integrated programmed decision-making back-up system of land use and traffic technological frame

The integrated programmed decision-making back-up system of land use and traffic is the basis with simulation programmed decision-making process; Realize different spaces policy and the influence of traffic policy in land use and traffic interactive process through quantitative test with visual approach, thereby technical support is provided for the decision maker.Specifically be divided into three steps, the first step is a space planning decision support link, corresponding overall city planning workout content; Second step was programme in-depth process; The 3rd step was traffic programme decision support link, corresponding city integrated railway and highway system planning workout content.The particular content of each step is following:

First step: space planning decision support process.

Space planning decision support process is exactly under regular period urban economy and social development target, development of urban space policy; Through each commuter zone land use scale of land use Model Calculation, promptly population and post quantity utilize the traffic accessibility index to realize the feedback of traffic to land use; When the traffic accessibility of entire city tends towards stability; Stop adjustment, and, obtain optimum space layout scheme according to the evaluation result of land use evaluation index to space layout.

Second step: programme in-depth process.

Programme in-depth process be exactly city planning organization unit on optimal spatial layout basis, absorb all the useful ideas, deepen the process of land used scheme, concentrated through concluding, seek reasonable economically, a technical advanced person's integration scenario.

Third step: traffic programme decision support process.

Traffic programme decision support process is after the in-depth of planned land use scheme; It is reasonable that the city space layout has been tending towards; The urban land function distribution has had on the basis of detailed land used classification and road network; Urban land is used the further refinement and the adjustment of layout and scale, urban transportation system and then the enforcement of instructing next level to plan.Promptly under different traffic policies; Calculate each the commuter zone population and the post number of in-depth scheme through the land use model; And build index results such as trip cost that traffic model calculates road network, traffic accessibility, regional saturation degree in view of the above; Utilize traffic accessibility, regional saturation degree index to realize the feedback of traffic, when the traffic accessibility of entire city tends towards stability, stop adjustment the land use scale to land use; According to the evaluation result of land use and traffic system appraisement system, obtain optimum urban land function distribution and scale and traffic policy.

On the basis of three steps, make the process flow diagram of the integrated programmed decision-making back-up system of land use and traffic implementation process, as shown in the figure.

Integrated decision process should solve space planning decision support and traffic programme decision support process key problem separately, realizes influencing each other between the two again.In addition also need take all factors into consideration space planning and dock the problem that faces with traffic programme, make economic structure, space structure and traffic system complement each other, to reach space and scale combined efficiency the most efficiently.

4, the technology implementation mode of the integrated programmed decision-making back-up system of land use and traffic

(1) space planning decision process technology implementation mode

Direction for urban development and space planning stage in the corresponding overall city planning compilation process of space planning decision support link; Urban population and land used development scale in main definite project period; Confirm urban construction and the space layout, the function division that develop land used; And city center, district center position, study of the influence of different land use policies to urban development.Use and the technological frame of the integrated programmed decision-making back-up system of traffic can be specified the technology path of programmed decision-making process between clearancen according to figure, as shown in the figure.

In space planning decision support process; At first, obtain initial land used scheme, according to land used scheme and traffic programme model according to the operation of space supply and space requirement data and land use model evaluation factor realization land used model; Calculate the accessibility of each traffic zone; And traffic accessibility is done convergence judge, utilization realizes the feedback of traffic to the land use model based on the cyclic process of the land used model of traffic accessibility, obtains final land use distribution scheme.

In space planning decision support process, mainly be to utilize accessibility index to realize the feedback of traffic to land use based on traffic zone.In this process; It mainly is research city development in future direction; Can consider of the influence of concrete transportation network to urban development; Therefore the simple traffic programme model that the road conditions that can be through because of the present circumstance year or the air line distance of planning year traffic minizone make up calculates the traffic accessibility value of each traffic zone, feeds back to the index of land use model as traffic model.

In the space planning process, to consider different urban development policy scenarios; Computing method under the multiple policy scenario are similar; Therefore when the practical implementation process of this process of introduction; Only introduce the practical implementation method that land use model and traffic programme model combine, do not consider the similarities and differences under the multiple policy scenario, all policy scenarios can be realized with reference to this process.

Space planning decision support process has adopted UPlan and Emme as land use model and traffic programme model respectively in implementation process, can formulate the concrete implementation procedure in model thus, and is as shown in the figure.

The first step makes up UPlan land use model.At first the land use planning with planning year survey region is the basis; Existing urban basic data is supplied with the various evaluation factors of data (planned range, traffic zone are divided figure, overall construction drawing etc.) (encouraging the exploitation factor, the restriction exploitation factor, the non-development zones factor etc.) such as the space wait and be converted into the data layout (grid format) that needs among the UPlan, space supply data, the evaluation factor and space requirement data after transforming (total population number, always obtain employment number etc.) are input in the UPlan land use model in the lump.

This step mainly is to prepare used basic data in the UPlan land use model, at first before building model, confirms to be input to the data in the UPlan land use model, and the data that prepare and form can be with reference to following Example.

In the space planning process, mainly be to confirm city development in future direction, therefore can adopt simple land use planning figure, the basis of following land use development as the city as the total rule input figure in the UPlan model.Such as; A kind of planning year survey region land use planning figure; 5 kinds of land used types have mainly been comprised among this figure; Be respectively commercial center, residential district, employment district, ecotope and protected location, wherein ecotope and protected location are the non-development zones lands used, and residential district, commercial center, employment district can develop land used.

After the various resource analyses to survey region, the factor that can determine the several respects that influence urban land use layout that need the emphasis consideration is as the appraisal of land suitability factor

Mainly be to use UPlan software to realize the allocated phase of land use in the native system; Therefore mainly be to have analyzed the influence of land used suitability evaluation factor pair allocation of space and the implementation in UPlan; And the evaluation factor of survey region is divided into encourages three types of Development Factors (attracters), restriction Development Factors (discouragers), non-development zones factor (masks) pointedly, and confirm the attractive force of certain plot to the land use type through the evaluation of estimate of each element.

The evaluation factors such as present situation road, highway, Bin Shui, present situation infrastructure all are the factors that promotes urban development, for encouraging the factor of exploitation.The influence of present situation construction has then limited the dynamics of city development, is the restriction Development Factors.The floodplain that receives flood influence is then be the vital area of urban development outside the floodplain, so the floodplain to be the non-development zones factor as the exploitation land used, outside the floodplain then for encouraging Development Factors.In addition, therefore land used scopes such as the ecotope of survey region and protected location can not be the non-development zones factor as the exploitation land used equally.It is as shown in table 3 that each estimates the concrete evaluation criterion of the factor.

Table 3 land used is supplied with appraisement system

The land demand prediction is to determine the planning city space demand in year according to the planning year city size of prediction, the city space demand is converted into the process of planning year urban land demand again.According to the urban development situation and the socio-economic development situation in present situation year, planning year total population number, the job number of research prediction are respectively 1,250,000,520,000 thus.

And the population concrete distribution situation whole in the city with employment of planning year then need realize through the demand that population and quantity of employment are converted into land used.According to planning index, the real needs, unit usable floor area, unit land area that calculate every kind of land used type are shown in table 4, table 5.

Table 4 space planning decision support process residential estate demand

Table 5 space planning decision support process employment land demand

After confirming to be input to the basic data in the model; Need convert the correlogram of existing planning chart, microzonation component and the evaluation factor into use among the UPlan raster file format; And be kept in the data file in the UPlan model; This step can realize that concrete steps are following through " conversion tools-＞polyline to raster/polygon to raster " instrument of GIS software:

At first selected " Conversion Tools-＞To raster-＞Polyline to Raster/Polygon to Raster " instrument from GIS " ArcToolbox " gets into and transforms window.

In the data conversion window, to use " Input Features " selected file that will transform, and correlation parameter is set, use " Output Raster Dataset " is provided with the name of the file after the conversion and the position that will preserve.

After completion is set, click " OK ", just can realize the process that the shp file among the GIS transforms to the raster file.

After accomplishing basic data preparation and data conversion process, next be exactly the process that enters data into the UPlan model, this process can " Data Loader " module in UPlan realize that concrete steps are following:

At first click " Data Loader " button on the menu bar.

The model name that selection will be edited in the window that ejects, and click " Edit Model Variables ".

The window that eject this moment is the window that data are written into, and a new survey region can be added through " the Add New GeoId " function in the window in the zone that in this window, needs first selection to study, and step is following:

Click " the Add New GeoId " button in " UPlan Data Loader " window.

In " the Add New GeoId " window that ejects, click " Set GeoId " button.

The regional document folder that selection will be studied, this document folder is arranged under the data file of UPlan model, and this regional document folder has been preserved and has been transformed good raster file data.

Be the GeoId name and the interpolation descriptive matter in which there that increase newly, the types of models of selecting this survey region to use is clicked " Add " button then.

Just can see the survey region that increase in " GeoIds " wicket in " UPlan Data Loader " window this moment.

The GeoId that increases newly is added in " Active GeoIds " wicket.

Choose this GeoId, use the label on " UPlan Data Loader " window the right to add basic data in the UPlan model, comprise inhabitation and demand for employment data, land used supply data, estimate basic datas such as factor of influence, total rule figure.

Secondly according to the concrete land demand of urban landuse evaluation index and evaluation criterion, various land used types; The parameter (estimate the factor weight etc.) of model running is set, and the corresponding relation of the land used type in land used type and overall city planning or the land used structural drawing among definite UPlan.

This step mainly is the setting to the model running parameter, at first need define the parameter of each factor of a model in advance, when UPlan moves, accomplishes the setting up procedure of parameter then, and concrete steps are following:

At first need define the parameter of each factor in advance.Such as through to every kind estimate the factor pair land use influence information summary marking after, confirm every kind of weighted value of estimating the factor, shown in table 6, table 7.

Table 6 is encouraged the weight of the urban development factor

The weight of the table 7 restriction urban development factor

According to land use planning; 7 kinds of land used types in the land use model of space planning decision support conceptual phase, have been divided; Be respectively high density residential estate, middle density residential estate, low-density residential estate, high density commercial land, middle density commercial land, low-density commercial land, industrial land; In order to guarantee the consistance with ground structure of land use model and planning; Research has been made corresponding relation with land used type in the land use model and the land used type among the land use planning figure, and is as shown in table 8.

The land used type table of comparisons of table 8 land use model and land use planning figure

Land use model land used type	Land use planning figure land used type
		High density is lived	Residential district, commercial center
Middle density is lived	Residential district, commercial center
		Low-density is lived	Residential district, commercial center
High density is commercial	Residential district, commercial center
		Middle density is commercial	Residential district, commercial center
Low-density is commercial	Residential district, commercial center, employment district
		Industrial land	The employment district

Next exactly these parameters are set in the UPlan model, concrete steps are following:

Click " Uplan 2Model " button in the UPlan window.

In the window that ejects, choose in " Data Loader ", set model variable, click then " Next ".Choose the Method type of model running; Be the model name that will move; The survey region of preference pattern operation; Cell size and square measure when model running is set.

The inhabitation that inspection is imported in " Data loader " and the demand data of employment, model can be continued to use the data of input in " Data loader ", also can re-enter at this.

The weight of the encourage growth and the evaluation factor of restriction development is set, and this weighted value equals " evaluation of estimate after the weighting " in table 6, the table 7.

The non-development zones factor is input in the Uplan model.After having imported basic data, land used type among the Uplan and the land used type in the planning chart are mapped one by one.

Last after configuring all model parameters, operation UPlan land use model can obtain land used allocative decision and each traffic zone population, the post number of planning region, as the input data of traffic model and the basic data of land used evaluate alternatives.

In the window of " Uplan 2Model ", set all parameters after, click " Run " button, moving model.

After model running finishes, can come the overview of display model operation through " Quick Summary " module.Can use " TAZExport " module with the result of model running everywhere in the database in the Uplan model, original file in the replacement data storehouse.

Use " Run Report " module that the form of the model result that derives with the Excel form shown, can in Excel, edit and handle model result.

In the Excel table of the result's report that obtains; The result that can see model adds up in " Results by TAZ " worksheet according to traffic zone; Data in this table are further analyzed with dividing, are handled population, post number that the back just can obtain each traffic zone, and the form of the population of each traffic zone that will obtain and post number is converted into the csv form that can be input in the Emme traffic model.

Second step made up Emme traffic programme Forecast Model.At first need make up the framework of traffic programme model according to the basic data in city, such as traffic zone distribution, transportation network, bus routes, on-site investigation data etc.The data importing traffic programme model that then UPlan space planning model is obtained is as making up Traffic Demand Forecasting model based data.Calculate through " stage " method implementation model at last, obtain like results such as link flow, vehicle ' time, travel speed, accessibility, saturation degree, truck kilometer numbers, as the basic data of circulation feedback and evaluate alternatives.

In native system; Build the model based framework such as distribution, traffic network that Emme traffic programme Forecast Model at first need make up traffic zone; These steps can realize through the road network editing machine public transport among the Emme, also can import through the road network file that has existed among the GIS.

After putting up the model based framework; Can realize the computation process of Emme model through macros; The enforcement of macros then need be carried out under the dos order, and calculation procedure concrete in macros is: the straight line trip distance between step 1, the calculating traffic zone; Land use basic data in step 2, the importing initial scheme; Generation, the traffic attraction of step 3, calculating resident trip; Step 4, calculating resident trip distribution matrix; Step 5, calculate sub-district reachability matrix based on air line distance between traffic zone.

The convergence of the 3rd step model is judged.The result of the traffic accessibility value that obtains according to the traffic programme Forecast Model and accessibility convergence index are judged the convergence of traffic accessibility value, if the result does not restrain, then carry out for the 4th step; If result's convergence then carried out for the 5th step.

When the 4th step, the traffic accessibility value did not restrain, the result of traffic programme model is fed back to the land use planning model.The traffic accessibility value that the traffic programme model is obtained converts the data layout that the land use model needs into, turns back to the first step, restarts the Model Calculation process.

When the traffic accessibility value that the traffic programme model is obtained converts the data layout of land use model needs into; The traffic accessibility value of considering each traffic zone that obtains through traffic model is all different; But all in certain codomain scope, and certain rules is arranged, therefore in order to reduce the data processing amount of conversion process; Before conversion data, need the result that traffic model obtains be put in order, so that realize the data conversion process better.According to the result of calculation of traffic accessibility, with the traffic accessibility classification, and confirm each classification to impact assessment value for land used exploitation in the coming year, classification and evaluation of estimate that traffic accessibility is concrete are as shown in table 9.

Table 9 traffic accessibility sorted table

Classification	Criteria for classification	Evaluation of estimate
			1	Traffic accessibility value＜=0.001	0
2	0.001＜traffic accessibility value＜=0.003	10
			3	0.003＜traffic accessibility value＜=0.005	30
4	0.005＜traffic accessibility value＜=0.007	50
			5	0.007＜traffic accessibility value＜=0.009	70
6	0.009＜traffic accessibility value	90

After classification is accomplished, traffic accessibility value and the classification of each traffic zone is mapped, and then confirms the classification situation that each traffic zone is subordinate to, so just can confirm the evaluation of estimate of each traffic zone land used.

The classification results of each traffic zone is input in the GIS software; And category converts traffic zone into data layout---raster file that the land use model needs respectively; The raster file after the conversion and the corresponding relation of classification indicators are as shown in table 10, and wherein " n " in the raster file title changes along with the variation of loop iteration number of times.

Table 10 traffic accessibility data conversion result

When the 5th step, the traffic accessibility value restrained, then stop the circulation feedback process, the result of each land use scheme and traffic programme scheme when the evaluation cycle feedback procedure stops simultaneously choosing optimum land use and traffic programme scheme.

(2) programme in-depth process technology embodiment

Programme in-depth process is exactly on the basis of the final land use distribution scheme that in space planning decision support process, obtains of city planning organization unit; Absorb all the useful ideas, deepen the process of land used scheme; Through concluding concentrated method, seek reasonable economically, a technical advanced person's integration scenario.

(3) traffic programme decision process technology implementation mode

In traffic programme decision support process, the city space layout has been tending towards rationally, on the basis of existing space layout, studies to the multiple transport development policy that proposes, thereby confirms the most reasonably city space layout and optimum traffic policy.For adjustment land use function distribution of refinement better and scale; In this process; Define two kinds of different application processes, realized two kinds of circulation feedback methods between land use and the traffic programme, embodied the influence on different angles of urban land function distribution and traffic policy.

Application process one: in traffic programme decision support process; Land used scheme after the in-depth is combined with original transport development policy; Land scale is calculated; And through traffic accessibility and regional saturation degree each commuter zone land scale is adjusted, circulation feedback obtains the land use scheme under the steady state (SS).Based on stable city function land used layout several kinds of different transport development policies are estimated, confirmed optimum traffic policy.This kind used limitation and is to embody the influence of different traffic policies to layout of urban functions and scale.

Application process two: in traffic programme decision support process, the land used scheme after the in-depth is combined with different traffic policies, commuter zone land scale under the different policies is adjusted through traffic accessibility.Draw several kinds of traffic policies corresponding optimum urban land function distribution and scale result, respectively these several kinds of urban land function distributions, scale and traffic policies are estimated again, confirm optimum urban land function distribution, scale and transport development policy.

And then combine land use and traffic evaluation index, these several kinds different land use distributions and land use scale are estimated and analyzed.If the result of model can not produce a desired effect; Then need check the model parameter setting; Adjustment land use factor of influence; Again carry out the circulation feedback process, produce a desired effect, can obtain optimum land use distribution and land use scale and optimum travel pattern structure thus until model result.In traffic programme decision support process, mainly be to utilize traffic evaluation and accessibility optimization, regional saturation degree to realize the feedback of traffic to land use.In this process; It mainly is research program year concrete traffic and the interaction of land used between distributing; Therefore need calculate traffic accessibility value and regional intensity value through detailed traffic model, feed back to the index of land use model as traffic model.

Refinement goes out the technology path of traffic programme decision process on the basis of land use and the integrated programmed decision-making back-up system of traffic technological frame, and is as shown in the figure.

Embodied the influence that different traffic policies distributes to land use in the traffic programme decision support process; Also embodied simultaneously traffic model and land use model different combinations correspondences without the result; No matter be the circulation feedback process in application process one or the application process two; All be to have adopted UPlan and Emme, and the principle of circulation feedback is consistent with step, therefore only introduces the technical implementation way of land use model and traffic programme mold cycle feedback procedure at this as land use model and traffic programme model; Not to all policies; The operation of other policy can realize that the implementation procedure of the integrated programmed decision-making back-up system of land use and traffic in model is as shown in Figure 7 in the traffic programme decision support process with reference to this process.

The first step makes up UPlan land use model.At first the land use planning with planning year survey region is the basis; With existing urban basic data such as the space supply with data (planned range, traffic zone are divided figure, overall construction drawing etc.), space requirement data (total population number, always obtain employment number etc.) and the various evaluation factor (encouraging the exploitation factor, restriction to develop the factor, the non-development zones factor etc.) etc. be converted among the UPlan need data layout, and be input in the UPlan land use model.Secondly according to the concrete land demand of urban landuse evaluation index and evaluation criterion, various land used types; The parameter (estimate the factor weight etc.) of model running is set, and the corresponding relation of the land used type in land used type and overall city planning or the land used structural drawing among definite UPlan.Last after configuring all model parameters, operation UPlan land use model can obtain land used allocative decision and each traffic zone population, the post number of planning region, as the input data of traffic model and the basic data of land used evaluate alternatives.

Step in operating process of this step and the space planning decision process is similar; Different is that technical data and the space planning decision process imported in the traffic programme decision process can be different, so building of the UPlan model in the traffic programme decision process can be with reference to the build process of UPlan model in the space planning decision process.

Second step made up Emme traffic programme Forecast Model.At first need make up the framework of traffic programme model according to the basic data in city, such as traffic zone distribution, transportation network, bus routes, on-site investigation data etc.The data importing traffic programme model that then UPlan space planning model is obtained is as making up Traffic Demand Forecasting model based data.Calculate through " stage " method implementation model at last, obtain like results such as link flow, vehicle ' time, travel speed, accessibility, saturation degree, truck kilometer numbers, as the basic data of circulation feedback and evaluate alternatives.

In native system; Build the model based framework such as distribution, traffic network that Emme traffic programme Forecast Model at first need make up traffic zone; These steps can realize through the road network editing machine public transport among the Emme, also can import through the road network file that has existed among the GIS.

The build process of Emme traffic programme Forecast Model realizes that through macros the enforcement of macros then need be carried out under the dos order, the concrete calculation procedure of the model in macros is: the functional dependence attribute is incured loss through delay in step 1, calculating; Step 2, importing sub-district split the table of comparisons; District's resident trip produces, attracts matrix in step 3, the importing present situation, mo/md sub-district segmentation number percent matrix; Step 4, the new demands status sub-district matrix of establishment; Step 5, precentagewise split original demand, obtain segmenting new demands status sub-district original matrix behind the sub-district; Land use data after step 6, the importing in-depth soil scheme; Step 7, calculate each traffic zone resident trip generation; Step 8, calculate each traffic zone resident trip traffic attraction; Step 9, resident trip generation and traffic attraction balance; Step 10, resident trip distribution first step growth factor method; Step 11, second step of resident trip distribution gravity model method; Step 12, the travel time of calculating each trip mode; Step 13, according to resident trip survey data scaling Gravity Models parameter; Step 14, resident trip distributed for the 3rd step according to Gravity Models center of equilibrium city matrix as a result; Step 15, resident trip distribute the 4th the step final distribution matrix; Step 10 six, calculating modes trip distance; Step 10 seven, resident trip mode are divided model; Step 10 eight, resident trip mode divide transform to generate ultimate criterion vehicle OD matrix total amount; The calculating of step 10 nine, entry and exit model---importing planning year master city, sub-district is generation to the gateway, the traffic attraction of gateway; OD between the gateway, present situation sub-district distributes; The calculating of step 2 ten, entry and exit model---calculate of the distribution of planning year master city, sub-district to the gateway; The calculating of step 2 11, entry and exit model---calculate of the distribution of planning year gateway to the gateway; The calculating of step 2 12, entry and exit model---calculate year total incoming and outgoing vehicles OD matrix of planning total amount; Step 2 13, pivot point Model Calculation; Step 2 14, execution automobile traffic distribute; Step 2 15, calculate sub-district reachability matrix based on trip cost between traffic zone.

The convergence of the 3rd step model is judged.The result of the traffic accessibility value that obtains according to the traffic programme Forecast Model and accessibility convergence formula are judged the convergence of traffic accessibility value, if the result does not restrain, then carry out for the 4th step; If result's convergence then carried out for the 5th step.

When the 4th step, the traffic accessibility value did not restrain, the result of traffic programme model is fed back to the land use planning model.Traffic accessibility value and regional intensity value that the traffic programme model is obtained convert the data layout that the land use model needs into, turn back to the first step, restart the Model Calculation process.

When the traffic accessibility value that the traffic programme model is obtained and regional intensity value convert the data layout that the land use model needs into; The traffic accessibility value of considering each traffic zone that obtains through traffic model is all different with regional intensity value; But all in certain codomain scope; And certain rules is arranged; Therefore in order to reduce the data processing amount of conversion process, before conversion data, need the result that traffic model obtains be put in order, so that realize the data conversion process better.Result of calculation according to regional saturation degree and traffic accessibility; Respectively with regional saturation degree and traffic accessibility classification; And confirm each classification to impact assessment value for land used exploitation in the coming year, classification that regional saturation degree and traffic accessibility are concrete and evaluation of estimate are shown in table 11, table 12.

The regional saturation degree sorted table of table 11

Classification	Criteria for classification	Evaluation of estimate
			1	Zone intensity value＜=0.3	10
2	0.3＜regional intensity value＜=0.5	30
			3	0.5＜regional intensity value＜=0.75	50
4	0.75＜regional intensity value＜=0.9	70
			5	0.9＜regional intensity value	90

Table 12 traffic accessibility sorted table

Classification	Criteria for classification	Evaluation of estimate
			1	Traffic accessibility value＜=0.001	0
2	0.001＜traffic accessibility value＜=0.003	10
			3	0.003＜traffic accessibility value＜=0.005	30
4	0.005＜traffic accessibility value＜=0.007	50
			5	0.007＜traffic accessibility value＜=0.009	70
6	0.009＜traffic accessibility value	90

After classification is accomplished; The regional intensity value of each traffic zone and traffic accessibility value and classification are mapped; And then confirm the classification situation that each traffic zone is subordinate to, so just can confirm the evaluation of estimate of each traffic zone, according to regional saturation degree and traffic accessibility the situation that influences to the land used distribution to land used; Determine weight separately, and then confirm the weighting evaluation of estimate of regional saturation degree and traffic accessibility.The classification results of each traffic zone is input in the GIS software; And category converts traffic zone into data layout---raster file that the land use model needs respectively; The raster file after the conversion and the corresponding relation of classification indicators are shown in table 13, table 14, and wherein " n " in the raster file title changes along with the variation of loop iteration number of times.

The regional saturation data conversion results of table 13

Table 14 traffic accessibility data conversion result

When the 5th step, the traffic accessibility value restrained, then stop the circulation feedback process, the result of each land use scheme and traffic programme scheme when the evaluation cycle feedback procedure stops simultaneously choosing optimum land use and traffic programme scheme.

Embodiment two

A kind of urban land uses and the integrated programmed decision-making back-up system of traffic, and said system comprises: land use model construction module, traffic programme Forecast Model make up module, convergence judge module, circulation feedback module.

The land use model construction module is the basis with the land use planning of planning year survey region; Existing urban basic data, the various evaluation factor are converted into the data layout that needs in the land use model, data, the evaluation factor and space requirement data are supplied with in the space after transforming be input in the lump in the land use model;

The traffic programme Forecast Model makes up module in order to make up the framework of traffic programme model according to the basic data in city; The data importing traffic programme Forecast Model that then the land use model is obtained is as the basic data that makes up the traffic programme Forecast Model; Then carry out Model Calculation, obtain the result of traffic accessibility value, regional intensity value, as the basic data of circulation feedback and evaluate alternatives;

The convergence that the convergence judge module is judged the traffic accessibility value in order to the result and the accessibility convergence index of the traffic accessibility value that obtains according to the traffic programme Forecast Model;

The circulation feedback module feeds back to the land use model in order to the result with the traffic programme model, and traffic accessibility value, regional intensity value that the traffic programme model is obtained convert the data layout that the land use model needs into.

Said traffic programme Forecast Model makes up in the module, and the computing method of traffic accessibility value are:

The accessibility of traffic zone j

Wherein, t _IjBe the impedance between traffic zone i and the traffic zone j; α is to be the parameter of reflection apart from impedance, traffic trip amount influence degree; T _IjBe the trip abundance between traffic zone i and the traffic zone j;

Calculate the trip abundance T between traffic zone i and the traffic zone j through Gravity Models _Ij

$T_{\mathrm{ij}}=P_i*\frac{A_j*{\mathrm{FF}}_{\mathrm{ij}}}{\underset{1}{\overset{n}{\mathrm{\Σ}}}(A_j*{\mathrm{FF}}_{\mathrm{ij}})};$

Wherein, T _IjBe the trip abundance between traffic zone i and the traffic zone j; P _iTrip generation for traffic zone i; A _jTrip attraction amount for traffic zone j; FF _IjThe trip impedance factor between traffic zone i and the traffic zone j is defined as

t _IjBe trip distance matrix or time matrix; N is the quantity of traffic zone;

In order to realize the circulation feedback process of integrated programmed decision-making support method smoothly; Adopt the method for moving average to come the result of the traffic accessibility value in the cycle of treatment process; The new traffic zone accessibility value that calculates is carried out Difference Calculation; Again traffic zone accessibility value is fed back in the land use model, to guarantee the smooth implementation of circulation feedback process;

$A_j^n=A_j^{n-1}+\frac{{\stackrel{\‾}{A}}_j^n-A_j^{n-1}}{n};$

Wherein:

is the accessibility value that feeds back to the traffic zone j in the land use model after n the calculating;

is the accessibility value of the traffic zone j that calculates for the n time.

In the convergence judge module, it is that the condition of convergence of circulation feedback is that the relative error value of traffic zone accessibility numerical value reaches set convergence index that the traffic zone accessibility reaches stable distinguishing rule;

$\mathrm{\σ}=\frac{\sqrt{\underset{i}{\mathrm{\Σ}}{({\stackrel{\‾}{A}}_j^n-{\stackrel{\‾}{A}}_j^{n-1})}^2}}{\underset{i}{\mathrm{\Σ}}{\stackrel{\‾}{A}}_j^{n-1}};$

Wherein,

is the accessibility of the traffic zone j that calculates for the n time; σ is the relative error value of accessibility;

If critical value is judged in the convergence of the accessibility that

confirms during for model running; During as

, judge that the traffic zone accessibility reaches convergence; During as

, judge that then the traffic zone accessibility does not reach the condition of convergence.

Said regional saturation degree is the result that the highway section intensity value is focused on the traffic zone and obtains through weighted average calculation, in the saturation degree of zoning with road section length as weight;

AS _i＝∑ _nS _n*L _n/∑ _n?L _n；

Wherein, AS _iRegional intensity value for cell i; S _nIntensity value for highway section n in the cell i; L _nLength for highway section n in the cell i;

The method of moving average MSA formula of zone saturation degree:

Wherein:

is the regional saturation degree that feeds back to the traffic zone i in the land use model after n the calculating;

is the regional saturation degree of the traffic zone i that calculates for the n time.

In sum; The urban land that the present invention proposes uses with the integrated programmed decision-making of traffic and supports method and system; Can realize automatically the planning of urban land use with traffic is improved rationality, science, the continuation of planning efficiency and planning according to basic data.

Here description of the invention and application is illustrative, is not to want with scope restriction of the present invention in the above-described embodiments.Here the distortion of the embodiment that is disclosed and change are possible, and the replacement of embodiment is known with the various parts of equivalence for those those of ordinary skill in the art.Those skilled in the art are noted that under the situation that does not break away from spirit of the present invention or essential characteristic, and the present invention can be with other form, structure, layout, ratio, and realize with other assembly, material and parts.Under the situation that does not break away from the scope of the invention and spirit, can carry out other distortion and change here to the embodiment that is disclosed.

Claims (10)

1. a urban land uses and the integrated programmed decision-making of traffic support method, it is characterized in that said method comprises the steps:

Step S1: make up land use model step; Land use planning with planning year survey region is the basis; Existing urban basic data, the various evaluation factor are converted into the data layout that needs in the land use model, data, the evaluation factor and space requirement data are supplied with in the space after transforming be input in the lump in the land use model;

Step S2: make up traffic programme Forecast Model step; At first need make up the framework of traffic programme model according to the basic data in city, the data importing traffic programme Forecast Model that then the land use model is obtained is as the basic data that makes up the traffic programme Forecast Model; Then carry out Model Calculation, obtain the result of traffic accessibility value, regional intensity value, as the basic data of circulation feedback and evaluate alternatives;

Step S3: the convergence of model is judged; The result of the traffic accessibility value that obtains according to the traffic programme Forecast Model and accessibility convergence index are judged the convergence of traffic accessibility value, if the result does not restrain, and execution in step S4 then; If result's convergence, then execution in step S5;

Step S4: the result of traffic programme model is fed back to the land use model; Traffic accessibility value, regional intensity value that the traffic programme model is obtained convert the data layout that the land use model needs into, turn back to step S1, restart the Model Calculation process;

Step S5: stop the circulation feedback process, the result of each land use scheme and traffic programme scheme chose preferred land use and traffic programme scheme when the evaluation cycle feedback procedure stopped simultaneously.

2. urban land according to claim 1 uses and the integrated programmed decision-making of traffic support method, it is characterized in that:

Among the step S2, the computing method of traffic accessibility value are:

The accessibility of traffic zone j

Wherein, t _IjBe the impedance between traffic zone i and the traffic zone j; α is to be the parameter of reflection apart from impedance, traffic trip amount influence degree; T _IjBe the trip abundance between traffic zone i and the traffic zone j;

Calculate the trip abundance T between traffic zone i and the traffic zone j through Gravity Models _Ij

$T_{\mathrm{ij}}=P_i*\frac{A_j*{\mathrm{FF}}_{\mathrm{ij}}}{\underset{1}{\overset{n}{\mathrm{\Σ}}}(A_j*{\mathrm{FF}}_{\mathrm{ij}})};$

Wherein, T _IjBe the trip abundance between traffic zone i and the traffic zone j; _PI is the trip generation of traffic zone i; A _jTrip attraction amount for traffic zone j; FF _IjThe trip impedance factor between traffic zone i and the traffic zone j is defined as

t _IjBe trip distance matrix or time matrix; N is the quantity of traffic zone;

In order to realize the circulation feedback process of integrated programmed decision-making support method smoothly; Adopt method of moving average MSA to come the result of the traffic accessibility value in the cycle of treatment process; The new traffic zone accessibility value that calculates is carried out Difference Calculation; Again traffic zone accessibility value is fed back in the land use model, to guarantee the smooth implementation of circulation feedback process;

$A_j^n=A_j^{n-1}+\frac{{\stackrel{\‾}{A}}_j^n-A_j^{n-1}}{n};$

Wherein:

is the accessibility value that feeds back to the traffic zone j in the land use model after n the calculating;

is the accessibility value of the traffic zone j that calculates for the n time.

3. urban land according to claim 2 uses and the integrated programmed decision-making of traffic support method, it is characterized in that:

Among the step S3, it is that the condition of convergence of circulation feedback is that the relative error value of traffic zone accessibility numerical value reaches set convergence index that the traffic zone accessibility reaches stable distinguishing rule;

$\mathrm{\σ}=\frac{\sqrt{\underset{i}{\mathrm{\Σ}}{({\stackrel{\‾}{A}}_j^n-{\stackrel{\‾}{A}}_j^{n-1})}^2}}{\underset{i}{\mathrm{\Σ}}{\stackrel{\‾}{A}}_j^{n-1}};$

Wherein,

is the accessibility of the traffic zone j that calculates for the n time; σ is the relative error value of accessibility;

If critical value is judged in the convergence of the accessibility that

confirms during for model running; During as

, judge that the traffic zone accessibility reaches convergence; During as

, judge that then the traffic zone accessibility does not reach the condition of convergence.

4. urban land according to claim 1 uses and the integrated programmed decision-making of traffic support method, it is characterized in that:

Said regional saturation degree is the result that the highway section intensity value is focused on the traffic zone and obtains through weighted average calculation, in the saturation degree of zoning with road section length as weight;

AS _i＝∑ _nS _n*L _n/∑ _n?L _n；

Wherein, AS _iRegional intensity value for cell i; S _nIntensity value for highway section n in the cell i; L _nLength for highway section n in the cell i;

The method of moving average MSA formula of zone saturation degree:

Wherein:

is the regional saturation degree that feeds back to the traffic zone i in the land use model after n the calculating;

does

The regional saturation degree of the traffic zone i that calculates for the n time.

5. urban land according to claim 1 uses and the integrated programmed decision-making of traffic support method, it is characterized in that:

Among the said step S1, make up UPlan land use model;

Said urban basic data comprises:

Data are supplied with in the space, comprise planned range, traffic zone division figure, overall construction drawing;

The various evaluation factors comprise and encourage the exploitation factor, the restriction exploitation factor, the non-development zones factor;

The space requirement data comprise total population number, the total number of obtaining employment.

6. urban land according to claim 1 uses and the integrated programmed decision-making of traffic support method, it is characterized in that:

Among the said step S2, make up Emme traffic programme Forecast Model;

At first need make up distribution, the traffic network model based framework of traffic zone, these steps realize through the road network editing machine public transport among the Emme, perhaps import through the road network file that has existed among the GIS;

After putting up the model based framework, through the computation process of macros realization Emme model, the enforcement of macros then need be carried out under the dos order, and calculation procedure concrete in macros is: the functional dependence attribute is incured loss through delay in step S201, calculating; Step S202, importing sub-district split the table of comparisons; District's resident trip produces, attracts matrix in step S203, the importing present situation, mo/md sub-district segmentation number percent matrix; Step S204, the new demands status sub-district matrix of establishment; Step S205, precentagewise split original demand, obtain segmenting new demands status sub-district original matrix behind the sub-district; Land use data after step S206, the importing in-depth soil scheme; Step S207, calculate each traffic zone resident trip generation; Step S208, calculate each traffic zone resident trip traffic attraction; Step S209, resident trip generation and traffic attraction balance; Step S210, resident trip distribution first step growth factor method; Step S211, second step of resident trip distribution gravity model method; Step S212, the travel time of calculating each trip mode; Step S213, according to resident trip survey data scaling Gravity Models parameter; Step S214, resident trip distributed for the 3rd step according to Gravity Models center of equilibrium city matrix as a result; Step S215, resident trip distribute the 4th the step final distribution matrix; Step S216, calculating modes trip distance; Step S217, resident trip mode are divided model; Step S218, resident trip mode divide transform to generate ultimate criterion vehicle OD matrix total amount; The calculating of step S219, entry and exit model: importing planning year master city, sub-district is generation to the gateway, the traffic attraction of gateway; OD between the gateway, present situation sub-district distributes; The calculating of step S220, entry and exit model: calculate of the distribution of planning year master city, sub-district to the gateway; The calculating of step S221, entry and exit model: calculate of the distribution of planning year gateway to the gateway; The calculating of step S222, entry and exit model: calculate year total incoming and outgoing vehicles OD matrix of planning total amount; Step S223, pivot point Model Calculation; Step S224, execution automobile traffic distribute; Step S225, calculate sub-district reachability matrix based on trip cost between traffic zone.

7. a urban land uses and the integrated programmed decision-making back-up system of traffic, it is characterized in that said system comprises:

The land use model construction module; Land use planning with planning year survey region is the basis; Existing urban basic data, the various evaluation factor are converted into the data layout that needs in the land use model, data, the evaluation factor and space requirement data are supplied with in the space after transforming be input in the lump in the land use model;

The traffic programme Forecast Model makes up module, in order to make up the framework of traffic programme model according to the basic data in city; The data importing traffic programme Forecast Model that then the land use model is obtained is as the basic data that makes up the traffic programme Forecast Model; Then carry out Model Calculation, obtain the result of traffic accessibility value, regional intensity value, as the basic data of circulation feedback and evaluate alternatives;

The convergence judge module, the convergence of judging the traffic accessibility value in order to the result and the accessibility convergence index of the traffic accessibility value that obtains according to the traffic programme Forecast Model;

The circulation feedback module feeds back to the land use model in order to the result with the traffic programme model, and traffic accessibility value, regional intensity value that the traffic programme model is obtained convert the data layout that the land use model needs into.

8. urban land according to claim 7 uses and the integrated programmed decision-making back-up system of traffic, it is characterized in that:

Said traffic programme Forecast Model makes up in the module, and the computing method of traffic accessibility value are:

The accessibility of traffic zone j

Wherein, t _IjBe the impedance between traffic zone i and the traffic zone j; α is to be the parameter of reflection apart from impedance, traffic trip amount influence degree; T _IjBe the trip abundance between traffic zone i and the traffic zone j;

Calculate the trip abundance T between traffic zone i and the traffic zone j through Gravity Models _Ij

$T_{\mathrm{ij}}=P_i*\frac{A_j*{\mathrm{FF}}_{\mathrm{ij}}}{\underset{1}{\overset{n}{\mathrm{\Σ}}}(A_j*{\mathrm{FF}}_{\mathrm{ij}})};$

Wherein, T _IjBe the trip abundance between traffic zone i and the traffic zone j; P _iTrip generation for traffic zone i; A _jTrip attraction amount for traffic zone j; FF _IjThe trip impedance factor between traffic zone i and the traffic zone j is defined as

t _IjBe trip distance matrix or time matrix; N is the quantity of traffic zone;

In order to realize the circulation feedback process of integrated programmed decision-making support method smoothly; Adopt the method for moving average to come the result of the traffic accessibility value in the cycle of treatment process; The new traffic zone accessibility value that calculates is carried out Difference Calculation; Again traffic zone accessibility value is fed back in the land use model, to guarantee the smooth implementation of circulation feedback process;

$A_j^n=A_j^{n-1}+\frac{{\stackrel{\‾}{A}}_j^n-A_j^{n-1}}{n};$

Wherein: is the accessibility value that feeds back to the traffic zone j in the land use model after n the calculating;

is n

The accessibility value of the inferior traffic zone j that calculates.

9. urban land according to claim 8 uses and the integrated programmed decision-making back-up system of traffic, it is characterized in that:

In the convergence judge module, it is that the condition of convergence of circulation feedback is that the relative error value of traffic zone accessibility numerical value reaches set convergence index that the traffic zone accessibility reaches stable distinguishing rule;

$\mathrm{\σ}=\frac{\sqrt{\underset{i}{\mathrm{\Σ}}{({\stackrel{\‾}{A}}_j^n-{\stackrel{\‾}{A}}_j^{n-1})}^2}}{\underset{i}{\mathrm{\Σ}}{\stackrel{\‾}{A}}_j^{n-1}};$

Wherein,

is the accessibility of the traffic zone j that calculates for the n time; σ is the relative error value of accessibility;

If critical value is judged in the convergence of the accessibility that confirms during for model running; During as

, judge that the traffic zone accessibility reaches convergence; During as

, judge that then the traffic zone accessibility does not reach the condition of convergence.

10. urban land according to claim 7 uses and the integrated programmed decision-making back-up system of traffic, it is characterized in that:

Said regional saturation degree is the result that the highway section intensity value is focused on the traffic zone and obtains through weighted average calculation, in the saturation degree of zoning with road section length as weight;

AS _i＝∑ _nS _n*L _n/∑ _n?L _n；

Wherein, AS _iRegional intensity value for cell i; S _nIntensity value for highway section n in the cell i; L _nLength for highway section n in the cell i;

The method of moving average MSA formula of zone saturation degree:

Wherein:

is the regional saturation degree that feeds back to the traffic zone i in the land use model after n the calculating;

is the regional saturation degree of the traffic zone i that calculates for the n time.

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