CN108335007A - A kind of computation model and its computational methods of urban land redevelopment intensity - Google Patents
A kind of computation model and its computational methods of urban land redevelopment intensity Download PDFInfo
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Abstract
The computation model and its computational methods for intensity of redeveloping the invention discloses a kind of urban land, from relationship between the land development of demand-decided model angle analysis and traffic system, therefrom microcosmic angle sets out simultaneously, it is proposed relevant binding target, pass through the input to land used, traffic characteristic data, the calculating of traffic Bearing capacity model provides land-use development intensity data, and providing the scale of construction for Correlative plan establishment develops foundation.
Description
Technical field
The present invention is suitable for urban planning field, is related to a kind of computation model of urban land redevelopment intensity.
Background technology
With China's rapid economic development, increment, which is planned to storage planning, is transformed into main trend, on the one hand, to improve
Land use benefit, the urban renewal and reconstruction of the old city town of land function displacement carry out like a raging fire, on the other hand, existing rule
Oarsman's section lacks land used signature analysis and planning Specialties Integration, can not adapt to the transformation of planning trend.This research is chosen for fixed
The angle needed analyzes the land use intensity under the conditions of planning traffic system aggregate supply, proposes to adapt to sustainable city
The land use strength range of city's transport development, has the decision of urban traffic control level certain reference value.
(1) theoretical research background
It is unreasonable that the immoderate exploitation carried out under condition of market economy frequently results in city overall structure, does not conform to cause
The resident trip of reason causes traffic circulation efficiency low.It solved the problems, such as that this was relied on mostly in the past and builds means of transportation to meet resident
The transport need of trip, the method are palliative.More scholars start self-examination be adapted to resident trip flow direction, flow soil
Ground utilizes structure, property, especially mining inetesity." Urban Traffic Planning is that one of Methods of Urban Land-use Planning is important about
Beam condition ".In urban planning, it should fully consider " constraints ", improve planing method.It is detailed based on being controlled in urban planning
The technology requirement for formulating redevelopment intensity, from transportation supplies --- the angle of traffic bearing capacity inquires into exploitation, especially redevelops
Intensity index, propose corresponding theoretical method.
(2) current demand background
Pair first, with the fast development of urbanization, China's most cities have been enter into soil " recycling " stage, i.e.,
Original land function displacement, upgrading.
Secondly, congestion is one of maximum obstruction of China's urban development.Cause congested in traffic reason very much, mainly
Contradiction between land use and traffic system.Urban Transportation Development in China strategy should be Land Development and transport development,
Urban Traffic Planning combines with land use planning, and fully reflects in Urban Traffic Development Strategy and Plan
Urban land use feature can reach and alleviate crowded effect.
Under these realistic backgrounds, urban planning needs to limit out soil mining inetesity from the angle of traffic bearing capacity
Threshold value more reasonably uses soil.
Invention content
1. the demand characteristic of soil redevelopment.
The redevelopment in plot changes substantially including two classes：The change of the change and land use intensity of land use morphology.
For heterogeneity land used, the demand analysis of all kinds of lands used is done respectively, is found out the traffic characteristic of all kinds of lands used, is related to four steps
The generation of model and distribution end.
Land development object refers to the soil for having certain development potentiality and Development volue, i.e., to the reserved resources in soil
With the exploitation in developed poor efficiency soil, " reserved resources in soil " are land development (urban development),
The latter is soil redevelopment (urban renewal；urban redevelopment).Redevelopment is dissolved from land efficiency maximum
Hair upgrades original land-use style, intensity, structure, space layout into line replacement.For bulk zone, change than city as usual
It makes, redevelopment is exactly Reform of Urban layout, it will be appreciated that for land development again；And for small pieces plot such as urban decline
Area, redevelopment are exactly to renovate existing soil, i.e. the upgrading to once visited place function, type.The size of area, intensity redevelop all
Economy, the Social Capacity for directly influencing region or city have decision effect to city Activities normal operation.
The type of domestic redevelopment is leading with business, office function to live at present.Three kinds of differences of emphasis pair of the present invention
Analyzed using property trip characteristics.
(1) inhabitation plot
Inhabitation is the basic demand of people living, and the volume of traffic of the type land used forms mainly by the residence of different trip purposes
Civilian property life.According to the big investigation of Shanghai City third time traffic, residential land flow of the people attraction rate is low, only 0.024 person-time/m2,
Visitor's flow is low；House practitioner trip multipurpose bicycle, followed by walking and public transport, the traffic knot that visitor uses
Structure is similar.Since China carries out five-day workweek, it is shown significantly on the peak period volume of traffic of generation attracting
Periodically, i.e., there is apparent early, the evening peak phase in inhabitation plot Mon-Fri, and Saturday, Sunday resident trip purpose divide
It dissipates, early, the evening peak period is not obvious.Workaday temporal behavior is in the morning 7:00~9:There is morning peak in 00 period, and
The directional characteristic from residential quarter to external diffusion is showed, evening peak trip requirements concentrate on 16:00~18:Two of 00 are small
When within, and show the directional characteristic concentrated from surrounding area to residential quarter.Therefore research will be directed in early, evening peak
Least favorable situation selective analysis.
(2) office plot
Administrative office land used volume of traffic composition is mainly office staff, according to the big investigation of Shanghai City third time traffic, such
The type land used stream of people attracts rate higher, is 0.303 person-time/m2, visitor's flow is larger；Practitioner uses public transport mostly, secondly
It is bicycle and walking, visitor divided by using outer based on public transport, the utilization rate of minibus is also higher, up to 19%, followed by walks
Row and taxi.The type plot is similar with residential land with the temporal behavior of working day trip weekly, the side of peak period
It is opposite with residential land to characteristic.
(3) business plot
Commercial land is the region, including shopping center, market, commercial street, hotel, market etc. for realizing commercial transaction.Quotient
The travel amount that industry land used employee itself generates is less, and the main body of the volume of traffic is the shopping attracted and leisure personnel.It should
Plot flow is mainly related with two elements：Regional conditions and commercial land scale.Regional conditions by accessibility and surrounding quotient
Business conditional decision.And under same regional conditions, according to the scale and property for managing commodity, attraction power is different,
As market and building materials market attraction rate are widely different.Overall such land used stream of people attracts traffic intensity larger, is higher than other types
Land used.
According to the big survey data of Shanghai City third time, large-scale commercial building practitioner (is averagely accounted for multiplying based on public transport
39.5%), guest in addition to hotel based on walking, followed by bicycle, routine bus system etc..Hotel is more special, because should
Type building attraction crowd be mostly economic condition it is good, using the high user of car and taxi ratio.
Commercial land temporal behavior is without apparent dull season and busy season in 1 year, and resident reaches more dispersed in one day；
The peak period of motor vehicle not necessarily overlaps with surrounding road network background traffic stream peak on ordinary days, and encounters special events such as quotient
Field is given a discount, and can have certain impact to road network around, but on day off, this impact has comparable reduction.It is overall and
Speech, there is higher requirement in business plot to the deliverability of the traffic system of surrounding.
According to upper joint number evidence, mixed developing land used account for proportion is also larger, this kind of land used can reduce trip incidence, point
The effects that scattered traffic loading, balanced spatial and temporal distributions, the travel amount of this kind of land used should not be construed as the simple superposition of types of functionality,
They have increasingly complex correlation each other.With the rapid development of city urbanization, the trip requirements of area of mixed usage
Analysis will be as one of the hot issue of future studies.
Urban land use and traffic close relation.Traffic formation mechenism can clearly disclose the source stream relationship of the two, with
It standing in great numbers for building, generates the movable transport need of people, traffic is formed so as to cause people, the purposive flowing of object, and hand over
Logical flowing relies on means of transportation, these facilities must be built on urban land, and the function of traffic is to realize the movable movement of people
Process, urban land are the carriers that various economy, social activities are achieved, and place, two kinds of lands used are provided for mankind's activity
Constantly coordinated by the movement of people and object, the movable development such as support urban economy.
Therebetween what is that source stream is not important on earth, it is important that interactional factor in two systems, their energy
Direction is provided to solve the practical problems such as crowded.The land use factor that soil generates decisive action to traffic system mainly has
Layout of urban functions, land use pattern and intensity etc., these factors determine traffic trip demand and distribution, trip mode and
The trip of people is accustomed to.Influence of the traffic to soil can understand that trip relies on means of transportation, because traffic is set from the trip of people
Applying net makes it possible that resident is engaged in social and economic activities, so traffic user focuses more on using friendship in daily life
The patency of logical facility.Patency is weighed by accessibility, and accessibility is key drivers (other of land use change
Motive force includes policy, economic lever etc.).
2. definition and its algorithm model of traffic bearing capacity.
Traffic bearing capacity must be based on certain service level, considers traffic system capacity, is related to road network scale, public transport
The various aspects such as service level, parking supply strategy, the Systematic Features of prominent traffic, the simple of the non-all kinds of traffic capacitys are folded
Add.
(1) Consideration
Before establishing road grid traffic capacity model, first it is to be understood that the attributive character of Traffic Net, is summarized as follows：
1 urban highway traffic it is net loaded the movement of urban human and object, be not that traditional physical material max-flow is asked
Topic.
2 with network flow increase, section obstruction is inevitable, which can cause traveler delay to increase, trip
Expense also increases.
3 when determining road network maximum flow problem, to consider the optimizing paths of trip group under crowded road network.
4 during considering that traffic max-flow solves, should not ignore the certain service level of road.
5 in transportation network maximum flow problem, more OD to existing, between different OD pairs traffic flow cannot exchange and substitute.
These features make " form for establishing road net model is sufficiently complex ".
After understanding these features, in conjunction with traffic bearing capacity theory, Road Network Capacity model should meet：
√ traveler Path selection principles
√ ensures the limitation of certain service level (allowing a degree of crowded)
The matching of √ road network topologies structure and OD demand distributional patterns
The carrying situation on parking stall in √ survey regions
Because can the matching degree of transport need distribution and road network structure is the key that road network play efficiency, therefore build
Vertical Road Network Capacity model should be able to optimize OD distributions under the premise of planned road network, to realize urban land use and urban transportation
The maximum of comprehensive function plays, and road network bearing capacity is road network maximum traffic bearing capacity at this time.
Under the premise of traffic zone divides, Urban traffic demand total amount is motor-driven between OD pairs of each traffic zone
Vehicle wagon flow is distributed summation.
(2) mathematical programming model is selected
In reality, planning, decision problem are related to huge and complicated system mostly, and Consideration is more.For example city is handed over
Open network problem is related to two kinds of significantly different object function Decision Making Unit：Plan group and user group.The former, examines from system perspective
Consider, keep entire road network total impedance, Trip Costs (such as travel time) minimum, the latter is from traffic system user perspective, it is desirable to traffic
Bearing capacity is maximum, so cannot effectively be solved the problems, such as using the decision-making technique of single level, need to establish one can consider compared with
Mathematical model that is multi-level and being easily achieved.
Bi-level Programming Models carry out multiple-objection optimization from two levels, and upper layer policymaker is by certain variate-value come under the influence of
Layer policymaker, limits the feasible constraint collection of lower layer policymaker, object function and lower layer of the upper layer policymaker by lower layer policymaker
Policymaker interacts.By combing, the method correlation circumstance is as follows：
1. the characteristics of two-double strategy
I. two different, mutually contradictory targets during analysis decision simultaneously.
Ii. its more criterion value decision-making technique is closer to actual conditions.
2. model hypothesis
I. each user selects route according to travel cost minimum.
Ii. travel cost function ta(va) it is continuous and monotonically increasing function
Iii. the traffic capacity of each edge is depending on physical condition, environmental condition, economic condition.
Iv. the ratio between the OD that OD amounts are undertaken with entire road network between each pair of origin and destination is known.
V. every vehicle flow is all higher than equal to zero, and the influx of any intersection is equal with discharge.
3. model general type
Upper layer model ---
Underlying model ---
In formula
Q --- Road Network Capacity
qij--- the volume of traffic between terminus (ij), pcu/h
Vaij--- pass through the volume of traffic of section a, pcu/h between terminus (ij)
Ca--- the traffic capacity of section a, pcu/h
ta(x) --- section a using flow as the impedance function of independent variable
fa--- the magnitude of traffic flow of section a, pcu/h
--- the magnitude of traffic flow of r paths of the point between (ij), vector are
--- section-path correlated variables
4. the general characteristic of model
I. the randomness for not considering Path selection realizes assignment of traffic, it is difficult to ensure by route between predesignated OD
Meet reality
Ii. Restriction of Service Level is not considered
Iii. accurate solution can not be mathematically obtained
Iv. it is not suitable for supersaturated road network
5. Bi-level Programming Models are difficult to solve
The problem itself belongs to NP-hard (nondeterministic polynomial-hard), and plan model has
Nonconvex property (even if levels are all convex functions, cannot guarantee that entire model has convexity), non-differentiability, generally only office
Portion's optimal solution rather than globally optimal solution.
6. the algorithm of Bi-level Programming Models
Such model algorithm is mostly based on heuritic approach at present.It is Sheffi, high in terms of the Transportation Network Design Problems such as friend
Expert thinks that heuritic approach can be satisfactory in terms of accuracy and calculating.The heuritic approach of early stage mainly has energy
Force constraint method and increment distribution method, algorithm common at present are mainly the following.
1) pole search method
The method is mainly for linear programming, it is believed that any solution of dual layer resist is both present in lower layer's plan constraint set
At pole, part or the optimal solution of model are found wherein.
It comments：The method calculation amount is larger, and the Kth-Best of Bialas and Chew belong to this method.
2) K-T methods
The lower layer problem of two-double strategy is replaced by its Kuhn-Tucker conditions, and bilayer is turned to single layer, main to use
It in solving double-layer satellite network problem, can be realized by branch and bound method, but need stringenter condition.
3) descent method
For solving non-linear Bilevel Programming Problem, using lower layer problem to the gradient information of upper layer decision variable, essence
It is the method for iterative solution, makes upper layer target letter using lower layer problem is a series of to the gradient information generation of upper layer decision variable
The reduced point of number, which is mainly applied by Gao Ziyou et al. at home, relatively complicated.
4) iteration optimization distribution (IOA-Iterative Optimization Assignment Algorithm)
The central idea of the method is that entire problem is divided into two sub-problems, and one is put down under the ability rigid condition of section
Weigh Assignment Problem, the other is using section ability as the common optimum problem of variable under balance link flow rigid condition, alternately
It solves, until meeting certain condition of convergence, advantage is that thinking is simple, the disadvantage is that may not restrain.
The algorithm key step is as follows：
Step1 takes initial solution.
Step2 underlying models are calculated with DUE, can obtain certain Route Routes flow between the flow between od pairs and od pairs.
Calculated flow in " step 2 " is substituted into upper layer planning problem by Step3 as constant, obtains meeting condition
Functional value.
Step4 examines whether each constraints of upper layer planning meets, and meets then termination algorithm, otherwise, another K=K+1,
Carry out next iteration.
It is double-deck that Friesz and Harker (1985), Asakura and Sasaki (nineteen ninety) are utilized respectively method design solution
Plan model.
(3) service level index
For middle level road network, " certain service level " has relationship, research range planted agent to allow certain with the degree of crowding
The a degree of congestion of node.If this degree " too small ", most of sections, intersection are still not up to congestion in region, but recognize
For whole region congestion, then there is no effectively play for road network benefit；If this degree " excessive ", most nodes are crowded,
Think that research range is crowded, road network at this time may crowded to capacity already nor designer it is desired.
It is thus impossible to simply choose some index judgement rational operating status of road network, and also need to consider index in mathematics
On realizability, more important index should be selected.In view of " service level is traffic market to the dependence of flow
Essential characteristic ", when selecting service level index, it is necessary to select and the directly related characteristic index of flow.
1 crowding：
The considerations of service level index factor, the index for the road network operating status that road network carrying capacity selects is crowding.
" crowding " is used for indicating the index (being proposed earliest by Japan) of the network of highways degree of crowding, reflects that entire road network adapts to load
Ability is defined as the ratio between the network of highways volume of traffic and network of highways capacity, formula is that is, with the adaptation situation of transport need：
S --- network of highways crowding
Q --- the volume of traffic that entire road network is serviced, v/d；
C --- arrange the normal capacity of road network, v/d；
qi--- the volume of traffic of i-th of section active service, v/d；
ci--- the standard traffic amount of i-th of section design, v/d；
Li--- the mileage in i-th of section, km
The index is also one kind of saturation degree index, is substantially that the information evaluated using road section traffic volume is handed over to evaluate road network
It is logical, it is more common one of basic skills.From the saturation degree of Regional Road Network entirety research, by calculating Vehicle emission
Total amount and the ratio of road network actual capacity acquire, can the service level of urban road network " substantially reflect ".
The method needs most of section and intersection flow and the traffic capacity in survey region, in this, as evaluation road network
Operation conditions, but the factor that traffic capacity calculating itself is related to is more, it is difficult to accurately estimate, in addition section and intersection
Relevance may not increase with the degree of crowding and be dramatically increased, no longer with the degree of crowding after flow reaches a certain level
There are one-to-one relationships, so the index is not suitable for the case where magnitude of traffic flow is close to when the traffic capacity, i.e., supersaturated feelings
Condition.By comparing, it is believed that the index is applicable to middle sight road network and describes service level.
2 parking turnover rates and Berth number
Traffic bearing capacity, not only consideration operate in the vehicle in road network, are also considered as parking demand, are association of activity and inertia, ability
Transport benefits are played in traffic system, traffic bearing capacity is not only related with road network self-capacity, also with " capacity of parking establishment
And the coordination configuration between them is related ", static and dynamic equilibrium road network carrying capacity is possible to reach capacity；If parking facility supplies
The parking demand needed for traffic is should be less than, peak period cannot be satisfied parking service, and bearing capacity will be reduced, " vehicle --- road
The development model of road --- parking " so that parking problem is especially prevalent in big city midtown and old town.
Parking position is mainly for residential area with berth is built, and public building, which is matched, builds berth, Public Parking (library) berth,
Four kinds of on-street parking spaces, constraints of stopping in model will use parking turnover rate index description, specific as follows：
djFor the vehicle traffic attraction of j cells；
wjFor berth week brother's rate of rotation of the traffic zones j
pjFor the Berth number of the traffic zones j
njFor wjWith pjProduct
(4) lower layer's distribution model
Bi-level Programming Models consider transport need and service level, and practical value is big.Therefore dual layer resist mould is used
Type is established based on the middle sight Road Network Capacity model on specific OD distributional patterns, and Bi-level Programming Models critical issue is underlying model
Selection.
The problem of underlying model is actually a Traffic Assignment Problem, the problem overriding concern is traveler to traveling
How route selectsThe problem is also the basis of Traffic Assignment Problem.Wardrop proposes two of Path selection in nineteen fifty-two
Criterion, user equilibrium (UE) and system optimal principle (SO).
UE user equilibrium principles or system optimal are all paths used between same OD pairs, and generation time is identical
, it is not used by path time no more than any；I.e. nobody can be lowered by unilaterally changing the path of oneself to reach
The purpose of oneself time, transportation network user attempt to select shortest path, and it is identical to be finally routed impedance, and minimum, from
And reach equilibrium state.In accordance with the principle, link flow constraint can avoid traveler and search route excessively detour, travel time
It is long.Specific to understand it is that the flow slightly distributed on long route be smaller, the OD is seldom to upper distribution on longer circuit
Or flow is not distributed, this it is expected to be consistent with actual user.Sheffi (1985) thinks that UE states ensure that there is no change
Become the power of equilibrium state, which ensures that flow reaches equilibrium state.The basis that the principle is established is that each user is mutual
It is independent, and known used transportation network information, the path decision of rationality can be made, and travel behaviour is almost the same, gone out
Passerby makes its own Trip Costs minimize.
SO system optimal principles are a design principles, i.e., system in equilibrium conditions, on crowded road network traffic flow answer
Traffic assignation is carried out by the foundation of average or total Trip Costs minimum, it is minimum to reach system Trip Costs.The principle
It reflects designer and thinks do not react the practical expectation of traveler rationally according to which type of mode is distributed, it provides only one
A decision-making technique.
According to the above analysis, common UE models, i.e. user's optimal balance Assignment Model are selected.It must be noted that trip is most
Short path selection is random, should actually use SUE Stochastic User Equilibrium Assignment Models to meet, but the model constraints
More stringent, algorithm is not easy to realize, should not hastily use, so not considering with the model solution.
UE flows are convex programming problem, seek the link flow for meeting user equilibrium condition, i.e. traveler constantly exists
Oi、DjMiddle selection path model.1956, after the propositions such as Bechmann describe the mathematical programming model of road network equalization problem,
Many Dynamic Traffic Assignment Models are emerged in large numbers.The most it is essential that Beckmann is converted, it is a linear equality, nonnegativity restrictions pole
Smallization problem, concrete form are：
tij≥0,i∈I,j∈J
The model hypothesis condition is as follows：
Traffic time on the sections √ only has relationship with the link flow；
The sections √ function is that (i.e. path flow --- link flow traffic time curve is convex to a positive increasing function
)；
Its verified UE condition of the model is set up, and has unique solution.
Based on the model, will using Joint mode split traffic assignation user equilibrium model as the lower layer of bilayer model
The citation form of model, the model is as follows：
S.T.
tij≥0,i∈I,j∈J
θ is a constant in formula, can be by related data depending on, uij,μ,λsIt is the dual variable of model.
The model is double restricted models, is solved as OD trip abundances and road section traffic volume flow.
Functional expression latter half is entropy model, which has：
The total travel amount and each terminal that each starting points of √ generate attract total amount it is known that being definite value；
Any OD of √ flow t between ijij, from the o of starting pointiAttract total amount d with terminaljIt is proportional；
Model meets：
√ link flows meet UE standards
√ OD flows meet trip distribution model, thus also meet and generate and attract constraint
√ OD flows meet the distributed model based on entropy concept.
Sheffi has verified that double UE conditions for constraining the model and meeting road network, has and solves and uniquely, be not described in detail, please refer to phase
It closes and derives.
Double restricted models (underlying model) solve：
The model can use convex combination method (total Linearization algorithm) to solve.Convex combination method is 1975, such as LeBlanc
The algorithm of the solution Bechmann models of person's design, also referred to as Frank-Wolfe algorithms are the important of solution Traffic Assignment Problem
Breach.Sheffi, which thinks to be combined into the method for shortest path during convex combination method and direction are searched for, to be solved UE planning problems and carries
For effective method.Each OD is led to time path by convex combination method to upper all assignment of traffic to OD pairs of the most short delivery
On, it will determine that step-length boundary and descent direction are carried out at the same time, be suitable for solving linear programming.For double restricted models, solution class
Seemingly, it is solved by their auxiliary variable, specific algorithm is as follows：
0 initialization
Feasible solution is setEnable n=1
1 update traffic time
With BPR functionsIt determines
2 determine the direction of search
1) it finds shortest path and calculates
It enables
2) solving cost isHitchcock transportation problems, can obtain
3)On the shortest path obtained in being assigned to " 1) ", new link flow { y is obtaineda}
4) descent direction is determined
As (yn-vn, vn-tn)
3 determine step-length
Solve z (α)
4 more new flows enable
5 convergence verifications
IFStop algorithm
Otherwise
N=n+1 is enabled, is returned " 1 "
Notice that due to convex combination method be convergent by asymptote in iterative process, convergent iterations number is by network congestion
Degree determines that the description of the bigger range degree of crowding is more complicated, this is also the model possibly can not solve for macroscopic road network
One of reason.
(5) road network carrying capacity model is established
Road net model is seen in 1
The definition of traffic bearing capacity is seen in comprehensive 4.3.1-4.3.2 section contents and this level, the road net model of foundation is such as
Under：
Upper model
maxT
Subject to
tij≥0
Lower model
Subject to
tij≥0,i∈I,j∈J
Wherein ta(x)=ta(va) it is vaBe increased continuously function, taFor the impedance (being indicated with the time) of section a, using quilt
The BPR functions of widely applied American roads office, form are
C --- section design capacity
t0--- the free travel time of average traffic (min) of section a
Parameter undetermined α β, BPR suggestions take α=0.15, β=4, some scholars to be acquired according to measured data regression analysis.
The meaning of 2 models
The road net model upper layer issue that Bi-level Programming Models are established is to consider that certain service level and static parking limit item
The maximum capacity that " can pass through " road network motor vehicle under part, can reflect OD demands distributional pattern and road network degree；Lower layer problem
It is to consider to solve user equilibrium assignment problem under OD demand distribution occasions, it is contemplated that the travel choice behavior of system user (uses
Trip distribution/Dynamic Traffic Assignment Model).
(6) solution of road network carrying capacity model
The realization of model algorithm is all very important work as model foundation.
Bi-level Programming Models solve, and Bilevel Programming Problem is a NP-Complete problem, in general uses certainty
Mathematical method solution is extremely difficult, is solved using with the iteration optimization IOA algorithms discussed, wherein underlying model is then with convex
Combinational algorithm solves.
1. modelling algorithm
Model algorithm is as follows.
1) Bi-level Programming Models algorithm for design：
The upper layers Step0 model initialization
Look for an a suitable road network increment Δ T and initial value T0, set n=0
Step1 underlying models initialize
By T0Set initial matrixSet k=0
In this step, t is solvedijIt is a transportation problem, did not belonged to for four stages, is a linear optimization problem.
Step2 willSubstitute into underlying model update
If Step3Meet convergence rule, then enables
And turn step4
Otherwise, K=K+1 is enabled, the update traffic impedances of Step 3 is returned and recalculates
Step 4 checks the constraints of upper layer model
If meeting simultaneously
Enable Tn+1=Tn+ △ T, n=n+1 return to Step 1
Otherwise, T is enabledmax=Tn
3. the computation model of the land development intensity, that is, plot development architecture scale of construction, plot ratio threshold value.
On the basis of analyzing in front, for micro-, middle sight traffic bearing capacity, it is reacted to specific evaluation index, such as road network
Service level, node serve level, road fragile degree etc., and the example of plan for land, analysis calculate in soil redevelopment intensity
Limit value.
Projectional technique --- the Trip Generation Rate method of plot redevelopment upper intensity limit
Trip Generation Rate is one of the important indicator for reflecting urban transportation and land use correlation, " can directly be described
The quantization rule between unique characteristics and traffic characteristic is built, is Urban Traffic Planning, traffic study, construction project traffic shadow
Ring the underlying parameter of the work quantitative analyses such as evaluation ".
Developed countries have done the index many research work, they are by collecting multiple urban architecture traffic
Trip rate data, the trip rate index of all kinds of buildings of Macro or mass analysis, and data is constantly updated the data, it publishes and announces trip rate hand
Volume provides related technical personnel and Public decision reference.
China has been set up " Trip Generation Rate index study seminar ", and seminar analyzes and handle work by mass data
Make, obtain accordingly building trip rate index value, was published in 2009《Trip Generation Rate handbook》(hereinafter referred to as " handbook "),
It is more genuine and believable as the traffic base parameter that national stem is come out by data statistics, it can be used for that " urban transportation is quantitatively divided
Analysis and appraisal ".This handbook primarily focuses on following building property：House, office, comprehensive business etc., from microcosmic angle
Spend the analysis that the redevelopment building scale of construction in the soils this paper is suitable for analyze the traffic characteristic of all kinds of buildings.
For plot to be developed, no matter the traffic Analysis of Bearing Capacity of which kind of level, remaining traffic bearing capacity determines thinking
It is similar.Fig. 4 is remaining traffic Analysis of Bearing Capacity thinking figure.
The redevelopment of analysis soil need to consider two aspects to traffic system influence, and one is target year without project development pair
The influence of periphery traffic, one is the volume of traffic --- the induced traffic produced by project redevelopment itself and attracted, and the two is comprehensive
It is the influence that project is redeveloped to periphery traffic to close analysis.
The redevelopment of certain plot generates, exists to balance between the volume of traffic attracted and traffic bearing capacity and close
The volume of traffic of the volume of traffic studied produced by the redevelopment of plot/attracted+non-study plot trip generation/attraction<=
Traffic bearing capacity
In other words, analyst coverage (middle sight, i.e., local road network) or analysis object (microcosmic, i.e., important intersection) " are ground
Study carefully produced by plot/attract " maximum traffic capacity should be less than the traffic bearing capacity of different levels analyzed area and projected background is handed over
The difference of flux, expression are：
" produced by research plot/attract " maximum traffic capacity
<=traffic bearing capacity --- vehicles number=traffic bearing capacity of non-study plot trip generation/attraction ---
Target year, background (passed by) volume of traffic
" study produced by plot/attract " maximum traffic capacity can be regarded as " remaining traffic bearing capacity ", as target year
The traffic capacity of plot soil redevelopment is studied, it can be used for limiting the volume of traffic that the trip of redevelopment plot generates, attracts, from
And limit the soil redevelopment intensity in city future.
To sum up, it is believed that the remaining traffic Bearing Capacity Formula for meeting certain service level is：
Remaining traffic bearing capacity=traffic bearing capacity --- target year basic traffic volume
4. forming the calculation process of land development intensity, the quantitative analysis of the planning such as Service controll concrete plan.
Description of the drawings
Fig. 1 is the formation mechenism figure of traffic.
Fig. 2 is land use and traffic system interactive relationship schematic diagram.
Fig. 3 is traffic bearing capacity (road network) model foundation thinking schematic diagram.
Fig. 4 is remaining traffic Analysis of Bearing Capacity thinking figure.
Fig. 5 is Pixian County city present situation section peak period flow diagram.
Fig. 6 is Pixian County city present situation section peak period saturation degree figure.
Fig. 7 is Pixian County city present situation primary cross mouth service level and main roads operating speed schematic diagram.
Fig. 8 is that Pixian County City Road Network bearing capacity studies particular technique route map.
Fig. 9 is section saturation degree schematic diagram when emphasis research range reaches evaluation criteria.
Figure 10 is link flow schematic diagram (present situation road network) when core research range reaches evaluation criteria.
Figure 11 is section saturation degree schematic diagram (present situation road network) when core research range reaches evaluation criteria.
Figure 12 is present situation road network and planned road network section saturation degree comparison diagram under core research range the same terms.
Figure 13 is public transport dominant area schematic diagram in emphasis research range.
Figure 14 is the old city redevelopment schematic diagram of core research range.
Figure 15 is Coordination by planning area mining inetesity control figure.
Implementation example
One,《Pixian County metropolitan integrative traffic system planning (2015)》The middle case study for carrying out old town road network carrying capacity
(1) research background
For Pixian County City Road Network bearing capacity research and meanwhile have more real demand.No matter from the service of road
Level, the management of road-surface concrete, road network functional localization etc., all there is no small problem cruxs at present.If not existing
It has some changes, will fail to agree with the transport development goals of the following Pixian County in the recent period.It can be seen that there is an urgent need to road network in Pixian County city
Bearing capacity is studied.
Pixian County City Road Network is in integrally that square grid shape is laid out, and Assessment of Serviceability of Roads is relatively low, and speed of operation is relatively low；And on road
In terms of net node, intersection integrity service level is in tolerance interval, but partial intersection mouth still occurs more in peak period
The case where congestion.
For the setting of road-surface concrete, also strong influence road, motor vehicle sound lance with control in Pixian County city
Shield is more prominent.One side Pixian County downtown roads both sides land-use development is more mature, causes road-surface concrete more universal, motor-driven
Vehicle is arbitrarily stopped, and path resource is occupied, and number of track-lines is caused drastically to reduce, and reduces the traffic capacity；Meanwhile road-surface concrete remittance,
It is driven out to normal wagon flow, non-motor vehicle is forced to mix row also extreme influence traffic efficiency with motor vehicle since track is occupied.Another party
Face Pixian County city is for road-surface concrete and more stringent measure of control is not carried out, and also aggravates static traffic to a certain extent
Mess.
The phenomenon that Pixian County downtown roads functional dislocation, is more serious, and wagon flow of passing by mutually is done with inside city to stream of dispatching a car
It disturbs, causes the service object of road and function indefinite, be unfavorable for the normal operation of road network.Functional dislocation also causes simultaneously
Downtown roads are difficult to tissue, and running order is more chaotic, and pedestrian, non-motor vehicle, motor vehicle mix mutually row, and security risk is significantly
Increase.
(2) research range
Core research range is Pi cylinder old town, is enclosed by the East Roads Wang Cong, the Roads Wang Cong, the West Roads Wang Cong and feux rouges main road
Region；The ranging from big Pi cylinder of primary study is formed a team, by north-south thoroughfare, at fill high speed, second around city high speed and boundary road enclosing area
Domain；Coordinate ranging from Pixian County satellite city range in periphery.
(3) As-Is analysis
1) overall outline
By the comprehensive traffic investigation for Pixian County city, the present situation number of each traffic zone in Pixian County city is tentatively got
According to, then observe data with specific intersection in traffic study and section present situation and check, it is obtained eventually by confluence analysis
Go out Pixian County city present situation road network situation.
From the point of view of the City Road Network form of Pixian County, the road on the south feux rouges main road has basically formed networking, is in square grid shape
Distribution；A large amount of roads not yet form network still in construction to the north of feux rouges main road.The backbone road network in Pixian County city plays substantially
It undertakes the communication function of passability, and branch roads system is since still in encryption is built, dead end highway is more, for traffic to hair
Collecting and distributing function is weaker, is assumed responsibility for instead by main line a large amount of to hair function.
Pixian County city present situation link flow has also confirmed the above analysis.It is preferable to be concentrated mainly on connectivity for the volume of traffic at present
Main line on, East and West direction flow is concentrated mainly on feux rouges main road, the Roads Wang Cong, the main roads Zhong Xin etc., and north-south is concentrated mainly on
The East Roads Pi Wen Lu, Wang Cong, north-south thoroughfare etc..Simultaneously in link flow, through trip proportion is larger.Fig. 5 is Pixian County city
Area present situation section peak period flow diagram.
2) service level
Pixian County city present situation section saturation degree overall condition is preferable, and road network average staturation is 0.56, and road network is whole in B
The service level of grade, saturation degree are gradually reduced with close to Pixian County city core, have the service level of part way to be down to C grades
Or D grades, as shown below.Fig. 6 is Pixian County city present situation section peak period saturation degree figure.Fig. 7 is that Pixian County city present situation is main
Intersection service level and main roads operating speed schematic diagram.
For the observation of the observation data of primary cross mouth and main roads operating speed in being investigated according to comprehensive traffic
Data further obtain the service level of Pixian County city present situation after analysis.
The situation gradually declined from outside to inside is presented in Pixian County city integrity service level, and core space situation is more serious.From
From the point of view of primary cross mouth, service level is substantially in two level hereinafter, core space is generally below three-level.And from main roads section
From the point of view of speed, Pixian County city overall operation speed is relatively low, and average operating speed averagely runs vehicle in 30km/h or so, core space
It is fast then be less than 20km/h.
(4) research method
1) model construction
Based on the analysis of road network operating status under certain service level, fail-safe analysis road network bi-level optimal model is built.
Upper layer decision by adjusting city layout, change the means such as mining inetesity and influence lower layer's travel choice behavior；Lower layer's traveler
By changing rational Path selection so that road network traffic flow is redistributed, to feed back upper layer Land arrangement.
Specific bi-level optimal model refers to following formula：
Upper layer is linear optimization model
Na=Canμaη,
Lower layer is user's optimal balance Assignment Model：
Pa-rameter symbols explanation refers to following table in formula：
Model parameter illustrates table
2) technology path
Pixian County City Road Network bearing capacity research particular technique route is as shown in Figure 8.
3) evaluation criteria
It is to meet certain level of service and efficiency under specifying constraint according to the definition to road network carrying capacity
Road network ability to bear, this will be the boundary condition for calculating road network carrying capacity, therefore must be set up corresponding evaluation criteria to adapt to
The measuring and calculating of Pixian County City Road Network bearing capacity.
In conjunction with correlative study and the practical operation situation in Pixian County city, evaluation index system mainly chooses section saturation
Degree and two big index of bearing capacity utilization rate, specific evaluation system refer to following table.
City Road Network bearing capacity evaluation system table
4) assessment result
Model will can just obtain optimal solution by the multiple transmission of upper and lower layer data and iteration.Genetic algorithm may be used
It is solved, by initializing the traffic generation of one group of each cell, is allocated using distribution model, then examines road network
Whether upper all sections can run under special services level.Otherwise by changing the traffic generation of each cell, until all
Bearing capacity under the close given service level of the operating status in section.The Trip generation forecast for each cell distributed in this time measuring and calculating
It is road network carrying capacity to measure summation.The solution of model is relatively complicated, by modeling and asking the method for optimal solution past in practical application
It is past inefficient.
Since current special-purpose software is more mature, solution efficiency is also higher, is asked model using the anti-push technologies of OD
Solution.Based on present situation OD data, the OD data between peripheral region are split out, pass through growth rate method predicting long-term outlying traffic
The trip requirements of minizone；Using traffic assignation module, through trip is assigned on road network, obtains passing by for every section
The volume of traffic；It calculates under given service level, the maximum service volume in all sections on road network obtains all roads on road network
The remaining traffic capacity of section；Using initial plan OD data as prior matrix, module is pushed away using OD is counter, by section residue passage energy
The anti-remaining traffic generation for shifting each internal zone onto of power, the remaining traffic generation of all internal zones and as road network
Residual load bearing capacity.
5) interpretation of result
According to model above method for solving, using the planned road network after optimization as analysis object, passed by friendship using removal
The logical road network residue traffic capacity and the anti-push technologies of OD, have obtained the road network operating status such as figure below.Fig. 9 studies for emphasis
Saturation degree schematic diagram in section when range reaches evaluation criteria.
Evaluation index is compareed, road network average staturation is 0.752 within the scope of the primary study of Pixian County city, and distributory network is average
Saturation degree is 0.837, and road network totality residual load bearing capacity is 0.937, meets evaluation criteria.Pixian County City Road Network totality bearing capacity
For 576822pcuh-1km.Thus the maximum road network carrying capacity situation in Pixian County city is obtained, while being also City Road Network institute
The maximum land development and utilization limit that can be born, this, will guiding be following rationally, has also by the relationship of balanced traffic and city
Sequence, harmonious development.
For core research range, the research object different from primary study range is preferably taken in bearing capacity research.Due to core
Heart district research range belongs to old city, and urban development is mature on the whole, and resident trip chain is substantially stationary, it is caused to be opened again in the recent period
Hair and the space of transformation are little, therefore use situation road network condition is answered to carry out model iterative solution.It is used inside core research range
Present situation road network as analysis object, predict the road network residue traffic capacity of through trip and utilize the anti-push technologies of OD by removal,
Operating status when road network reaches evaluation criteria is obtained, link flow is as shown below.Figure 10 reaches for core research range to be commented
Link flow schematic diagram (present situation road network) when estimating standard, Figure 11 are section saturation degree when core research range reaches evaluation criteria
Schematic diagram (present situation road network).
Upper figure is shown when reaching evaluation criteria, and the section saturation degree situation of core research range road network, road network is averagely saturated
Degree is 0.731, and distributory network average staturation is 0.873, and core space totality bearing capacity is 50508pcuh-1km.With emphasis
Research range is similar, is also under prescribed conditions, to obtain the road network carrying capacity of core research range present situation road network at this time.
The research of Pixian County City Road Network bearing capacity, while having more also for the following Pixian County city Motor Vehicles Development trend
Specific anticipation.
The core research range internal zone Vehicle emission total amount obtained according to the state of closing on above, is computed about
3.3 times of on-site investigation data.It is car since motor vehicle constitutes absolute main body in core dimensions, is such as put down within nearly 5 years by Pixian County
Equal car growth rate 20% is calculated, will just be entered core space road network within about 2022 and be carried saturation state；Present situation Pi simultaneously
Cylinder car trip mode accounts for the 24.7% of full mode, and as social development still has a degree of promotion.It can be seen that holding
The especially core research of Pixian County city will be given by continuing the car quantity of high-order car trip ratio and rapid growth
Range band comes quite huge impact and pressure, and car pattern finally will be hard to carry on, therefore must set about on the one hand to motor-driven
Vehicle ownership is gradually effectively controlled, and another aspect includes as far as possible that road network combs, public transport is drawn by technological means
It leads, the management of intelligent and high-efficiency etc. promotes road network carrying capacity.
The analysis and assessment of core research range are carried out on the basis of present situation road network above, for old city
For its realistic meaning it is more prominent.But it is updated by the optimization of planning and the transformation in old city future, core is enabled to grind
The road network for studying carefully range is more rational.Under the identical iterated conditional of core research range, compared with present situation road network, its bearing capacity has planned road network
It is largely promoted, as shown below.Figure 12 is present situation road network and planned road network road under core research range the same terms
Section saturation degree comparison diagram.
On the above comparison diagram, present situation road network average staturation is 0.731, and distributory network average staturation is 0.873；Planning
Road network average staturation is only 0.660, and distributory network average staturation is 0.730, and road network overall operation situation is substantially better than present situation
There is the higher section of saturation degree and greatly reduces in road network.
It will be appreciated, however, that the optimization of the above planned road network is built upon under following safeguard：It is reasonable road first
Road grading optimizes core space internal passageway grade to meet the trip of different distance；Followed by it is connected to road network, present situation
Dead end highway phenomenon comparative studies in road network causes the connectivity of road network entirety poor, and dead end highway has been got through in planned road network,
So that internetworking is embodied；It is exactly finally traffic administration, this also ensures a vital link, example in road-net database
As completely forbidden curb parking inside core space so that a part of road passage capability is released.
6) Improving Measurements
Mode guides
Upper section will be unable to carry by the road network that evaluation structure has been prejudged to Pixian County city especially core research range
Phenomenon hard to carry on, will finally occur in the car quantity for continuing high-order car trip ratio and rapid growth.
To improve the time limit of bearing capacity extend as far as possible road network normal operation in other words, for the trip proportion and ownership of car
It must carry out certain limitation and guiding.
Public transport traffic is compared with Private Traffic relevant parameter
As seen from the above table, under the premise of identical traffic capacity, public transport mode has apparent advantage, completes same
The travel amount car of sample occupies l0 times or more that path resource is bus.Therefore, it is necessary to focus on mode of transportation structure with
Correlation between Land arrangement, optionally through the guiding to mode of transportation structure, ensure traffic bearing capacity from it is different
The actual demand in property plot is adapted, and avoids the predicament for being gradually absorbed in traffic congestion, improves operational efficiency and urban vitality.
However be not strong transformation for mode for the guiding of trip mode, on the one hand to the limitation of car,
On the other hand facility covering and the service quality that must then improve public transport, gradually encourage and guide and is more inside the city of Pixian County
To use the trip mode of " public transport+go slowly ".Figure 13 is public transport dominant area schematic diagram in emphasis research range.
According in this planning for the programme of Pixian County public transport, public transport Predominance Area within the scope of primary study
Domain is mainly made of rail traffic website, middle freight volume gauze, public transportation lane network etc., can intuitively be seen from the graph, public
It hands over dominant area to cover large-scale inhabitation section, series connection large scale business section substantially, and then faces mode from planning layer and drawn
It leads, to achieve the purpose that promote road network carrying capacity.
Parking management
Show that motor vehicle sound contradiction is more prominent in stopping As-Is analysis from Pixian County city.From parking demand to facility
Supply, from facility layout to measure of control, current management means can not develop rapidly with city be adapted already, occur
The phenomenon that lag.And according to above-mentioned analysis, parking management especially road-surface concrete management is for the promotion of road network carrying capacity
The influence factor of highly significant, occupying path resource influences road network carrying and operation, and strategy is unreasonable to be caused to stop in core space
Vehicle is arbitrarily chaotic.
Therefore should gradually reinforce the control for curb parking inside Pi cylinder city, from the management mould of current loose extensive style
Formula is refined to science to be changed, and different parking management strategies is taken for different sections.Meanwhile it being used for Pixian County city
The contradiction of ground anxiety deeply excavates the potential land used of off road parking, controls road-surface concrete demand.The parking plan in specific Pixian County city
Slightly analysis sees this planning related Sections.
Land use is fed back
Urban transportation is to push the effective power of city sustainable development with land use phase mutual feedback, and soil is rationally opened
Hair also can actively promote the reasonable distribution of urban transportation, that is, the integrated carrying ability of road network is improved in system.
By taking core research range as an example, various aspects development at this stage is more mature, but internal road network is mainly made of branch
And connectivity is bad, bearing capacity is not high.By the redevelopment for old city, the soil surplus value can be excavated fully；It is interior
Portion's road network can be combed, road network microcirculation be able to it is unimpeded, to fundamentally promoted core research range inside road network
Bearing capacity.Figure 14 is the old city redevelopment schematic diagram of core research range.
Two,《Yiwu high ferro Passenger Transport Hub and neighboring area municipal traffic planning (2014)》Carry out Land in Regional Land in project
Develop the research of the upper limit
Yiwu urban development is rapid, and the development ＆ construction of high ferro hinge and periphery section will face lot of challenges, from traffic system
General examination for students from various schools is considered, it is anticipated that challenge is summarized as follows：
Access road capacity
Position residing for high ferro section is the north gate family of Yiwu, holds highway, the important pivot that railway, airport cross
The apparent export-oriented and type traffic characteristic that passes by is presented in functional areas.Will face how collecting and distributing hinge traffic flow, meet periphery
The challenge to hair traffic of section.The means of transportation that can be built in limited landholding are limited, need to have balanced demand and confession
The relationship given.For this purpose, before the large-scale development ＆ construction in section, traffic capacity is assessed, for following sustainable development
Exhibition is of great significance.This planning is by the way that using the limited capacity of external traffic aisle as constraints, anti-push jack area exploitation is strong
The upper limit of degree tries hard to the control that can realize land use with the index of quantification in detailed stages.Figure 15 is Coordination by planning area
Mining inetesity control figure.
Using the constraints that access road is controlled as plot ratio, in the case where no regulatory control plot is developed, obtain externally main logical
The basic traffic volume in road, the traffic capacity of having more than needed are that available means of transportation capacity is developed in the following plot.
According to regulatory control for mining inetesity control it can be seen that two class houses plot ratio control 1.0~1.6 it
Between, 1.8~2.5, other locations are medium strong for the exploitation plot ratio control of the plot ratio maximum intensity of commercial office class land used
Degree exploitation plot ratio control is 1.0~1.8.
Ensureing channel service D grades horizontal (saturation degree is less than 0.75) or more, store main road is major limitation road, can
One-way trip ability is provided in 1000pcu/h, it is proposed that the average volume rate of residential estate is controlled 1.5 hereinafter, commercial office class
Land used average volume rate controls below 3.1.
Outgoing road service level evaluation list in the case of average volume rate upper control limit
Claims (7)
1. a kind of computation model of urban land redevelopment intensity, which is characterized in that include：
Land used and traffic characteristic recording module do all kinds of lands used respectively for heterogeneity land used under soil redevelopment environment
The traffic characteristic of all kinds of lands used is found out in demand analysis, is related to generation and the distribution end of four steps model；
Traffic bearing capacity calculation module can bear traffic for calculating the traffic system based on each system such as road network, public transport, parking
Trip total amount；
Land development Strength co-mputation module is reacted to specific evaluation index, analyzes for being directed to micro-, middle sight traffic bearing capacity
Calculate soil redevelopment upper intensity limit value.
2. a kind of computational methods of urban land redevelopment intensity, which is characterized in that comprise the steps of：
Step S1, the use that land used and traffic characteristic recording module are redeveloped according to urban land under environment under soil redevelopment environment
Ground and the input of traffic system data, including：Section land use balance table, trip yield, planned road network density, graduation road track
Number, planning urban railway station, through trip ratio etc., form land used and traffic system relationship；
Step S2, traffic bearing capacity calculation module obtains traffic system and can undertake resident to go out according to situations such as road network, public transport, parking
Row amount；
Step S3, land development Strength co-mputation module obtains carrying for traffic according to travel amount and land-use development strength relationship
The plot ratio upper limit is developed in plot under power.
3. the computational methods of urban land redevelopment intensity as claimed in claim 2, which is characterized in that the S1 data record
Enter includes two plane data demands：
Overall control level：Land use balance table, trip generation rate, planned road network density, graduation road track number, planning track
Website, through trip ratio etc.；
Plot control plane：Planned road network, plot entrance arrangement, plot parking space number, through trip amount etc..
4. the computational methods of urban land redevelopment intensity as claimed in claim 3, which is characterized in that the S2 data record
Enter to include the computational methods of two levels：
Overall control level：
It is based on：TLOS=(TN+TG)/TC
Demand：TN=GA_In_Pcu*LIt is interior
TG=GA_Out_Pcu*LOutside
Supply：
Plot control plane：Visum software modelings, Nested Logit models calculate, OD is counter pushes away.
5. the computational methods of urban land redevelopment intensity as claimed in claim 4, which is characterized in that the S2 data record
Enter includes road network carrying capacity Model Calculating Method：
The road net model of foundation is as follows：
Upper model
max T
Subject to
tij≥0
Lower model
Subject to
tij≥0,i∈I,j∈J
Wherein ta(x)=ta(va) it is vaBe increased continuously function, taFor the impedance (being indicated with the time) of section a, using extensive
The BPR functions of the American roads office of application, form are
C --- section design capacity
t0--- the free travel time of average traffic (min) of section a
Parameter undetermined α β, BPR suggestions take α=0.15, β=4, some scholars to be acquired according to measured data regression analysis.
6. the computational methods of urban land redevelopment intensity as claimed in claim 5, which is characterized in that the S3 data record
Enter to include the computational methods of two levels：
Overall control level：The land used average volume rate upper limit.
Plot control plane：Each plot plot ratio upper limit, FARij。
7. the computational methods of urban land redevelopment intensity as claimed in claim 6, which is characterized in that the soils S3 are again
Mining inetesity computational methods：
The redevelopment of certain plot generates, there are equilibrium relations between the volume of traffic and traffic bearing capacity of attraction, specifically to certain research area
There is following relationship in domain：
The volume of traffic of the volume of traffic studied produced by the redevelopment of plot/attracted+non-study plot trip generation/attraction<=traffic
Bearing capacity
To analyst coverage (middle sight, i.e., local road network) or analysis object (microcosmic, i.e., important intersection) " produced by research plot/
The maximum traffic capacity of attraction " should be less than the difference of the traffic bearing capacity and the projected background volume of traffic of different levels analyzed area, specifically
Expression formula is：
" produced by research plot/attract " maximum traffic capacity<=traffic bearing capacity --- non-study plot trip generation/attraction
Vehicles number=traffic bearing capacity --- target year background (pass by) volume of traffic
" study produced by plot/attract " maximum traffic capacity can be regarded as " remaining traffic bearing capacity ", and as target year is studied
The traffic capacity of plot soil redevelopment, it can be used for limiting the volume of traffic that the trip of redevelopment plot generates, attracts, to limit
The soil redevelopment intensity in city future.
Remaining traffic bearing capacity=traffic bearing capacity --- target year basic traffic volume.
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