CN111222661B

CN111222661B - Urban planning implementation effect analysis and evaluation method

Info

Publication number: CN111222661B
Application number: CN201811411940.4A
Authority: CN
Inventors: 方喜波; 汪勇; 宋日辉; 马娇; 李全利; 何航; 闫晨微
Original assignee: Tianjin Institute Of Geotechnical Investigation & Surveying; Stargis Tianjin Technology Development Co ltd
Current assignee: Tianjin Institute Of Geotechnical Investigation & Surveying; Stargis Tianjin Technology Development Co ltd
Priority date: 2018-11-25
Filing date: 2018-11-25
Publication date: 2023-06-09
Anticipated expiration: 2038-11-25
Also published as: CN111222661A

Abstract

The invention discloses an analysis and evaluation method for urban planning implementation effect, which relates to the fields of data processing, manufacturing and application and comprises the following steps: data collection, data preprocessing, data storage, data demand analysis, evaluation module generation, evaluation operation and result utilization. The method has the advantages that: the quantitative evaluation indexes and the corresponding evaluation systems are formed rapidly through collection, processing and analysis utilization of various data sources, the evaluation element calculation method of various methods is provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and rapid and accurate generation of the evaluation results is realized. The evaluation result has various forms and can display the characteristics of the evaluation result in the forms of characters, figures, tables and the like, and the evaluation result can also load related data to realize various analysis and utilization of results, thereby realizing and improving the current situation and the future value of the data.

Description

Urban planning implementation effect analysis and evaluation method

Technical Field

The invention relates to the fields of data processing, manufacturing and application, in particular to an urban planning implementation effect analysis and evaluation method which is used for rapidly forming quantitative evaluation indexes and corresponding evaluation systems through acquisition, processing and analysis utilization of various data sources, providing an evaluation element calculation method of various methods, loading various data into an evaluation module to obtain quantitative evaluation results, rapidly and accurately generating the evaluation results and realizing various utilization of results, thereby realizing and improving the current situation and future value of the data.

Background

Urban planning is a precondition of building and garden construction, and provides an unprecedented wide space for development of architecture and garden by the development of urban planning design research for the required space preparation condition. The planners are consistent with the work objectives of architects and garden designers. With the development of human society, the organic combination and collaborative creation of these three disciplines tends to push the construction of the body-form environment to a higher boundary.

With the development of social economy, the appearance of cities and the complexity of human living environments, urban planning and design ideas are generated and continuously developed. Particularly, in the period of social transformation, under the condition that the old urban structure cannot adapt to the new social life requirement, urban planning design theory and practice often have leaps. In different times and different areas, the development level and construction requirements of cities are different, so that the research emphasis of urban planning and design is not consistent, and the urban planning and design is changed along with the development of times.

The understanding of urban and urban planning and design work is deepened continuously. Based on the comprehensive dynamic system of the city, the city planning design research focuses on the utilization division of land on a plane, is not limited to the layout of a three-dimensional space, and introduces 'integrated comprehensive research' of various requirements of time, economy and society. In the urban planning and design work, the situations which can be and are difficult to predict in the maximum range are considered, so that the choice is provided as much as possible, and the sufficient space and various possibilities are left for future development.

As a result of the inclusive sense of urban problems, it has been proposed to build urban schools based on related disciplines for the purpose of studying urban properties, urban models, urban systems and development strategies; it has also been proposed to establish human habitat and the like for the purpose of systematically researching various human habitats in villages, towns, cities. The new disciplines of this type are either treed or help to deepen the macroscopic understanding of the city, but their progress is based on the completion of a large number of urban problem studies.

The urban research task is laborious and numerous, which also indicates its abundant vitality. Cities are always developing, and urban problems are always accompanied, but people can use wide knowledge and rich imagination and creativity more consciously, and the science of planning, construction and management of urban environments is developed. The urban planning and design work is finally implemented on material construction from the strategic research of the initial social and economic development, and the body-shaped environment for people to live and work is formed.

The economic, population, environmental and policy elements of a city constitute the comprehensive load-bearing capacity of the city. The comprehensive bearing capacity determines urban development and positioning, functions of cities, comprehensive urban competitiveness and urban sustainable development. From the perspective of resource allocation, the government is the main body of the resource allocation, the planning management exercises the public rights of the government resource allocation, and the construction project planning permission is an important legal basis of the public resource allocation. The construction project planning permission determines the scale and quality of urban resource allocation, the proportion of an industrial structure, public service facility distribution, the approximate direction of urban resource investment, the urban resource allocation efficiency and the like from the aspects of planning layout, properties, scale, development intensity, policy guiding and the like, and further determines the progress, key direction, bearing capacity, balance degree, target accessibility of the implementation of the urban overall planning target and the implementation compliance degree of the urban national economic and social development target.

The urban planning evaluation is used for guiding reasonable and effective configuration of various functional land of the city and promoting the optimal configuration and coordinated development of urban resources. Auxiliary decision information is provided for government to make city development strategy, and the working efficiency, scientificity and decision level of planning management are further improved. Deeply executing urban and rural planning method, and providing basis for guiding urban and rural scientific planning construction; the method has the advantages that the core value concept of scientific planning and harmonious development is realized more deeply, strategic, prospective and political decision basis is provided for urban and rural planning administration, basic data is provided for the fine management of construction projects, the efficiency of planning management is further improved, the development of urban and rural society, economy, culture, life and other fields is better served, so that the planning management works in the key period of reform development stepping into deep water areas, the core value concept of scientific planning and harmonious development is realized more deeply, the basis is provided for the urban and rural planning administration to implement the scientific decision and fine management of construction projects, the scientificity, effectiveness and fairness of planning management are further improved, and the fields of urban and rural society, economy, culture, life and the like are better guided to develop quickly.

At present, a complete city planning evaluation system is established, and a brand new city planning evaluation method is provided. The quantitative evaluation indexes and the corresponding evaluation systems are formed rapidly through collection, processing and analysis utilization of various data sources, the evaluation element calculation method of various methods is provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and rapid and accurate generation of the evaluation results is realized. The evaluation result has various forms and can display the characteristics of the evaluation result in the forms of characters, figures, tables and the like, and the evaluation result can also load related data to realize various analysis and utilization of results, thereby realizing and improving the current situation and the future value of the data. And the urban planning problem can be obtained according to the evaluation result, planning early warning is provided, a powerful basis is provided for urban planning refined management, and the method has important significance for urban planning management.

Disclosure of Invention

The embodiment of the invention provides an urban planning implementation effect analysis and evaluation method, which establishes a complete urban planning evaluation system for solving the technical problems and defects existing in the existing urban planning evaluation and provides a brand-new urban planning evaluation method. The quantitative evaluation indexes and the corresponding evaluation systems are formed rapidly through collection, processing and analysis utilization of various data sources, the evaluation element calculation method of various methods is provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and rapid and accurate generation of the evaluation results is realized. The evaluation result has various forms and can display the characteristics of the evaluation result in the forms of characters, figures, tables and the like, and the evaluation result can also load related data to realize various analysis and utilization of results, thereby realizing and improving the current situation and the future value of the data. And the urban planning problem can be obtained according to the evaluation result, planning early warning is provided, a powerful basis is provided for urban planning refined management, and the method has important significance for urban planning management.

The invention provides an urban planning implementation effect analysis and evaluation method, which comprises the following steps:

and (3) collecting data: the information related to urban planning and evaluation is judged manually, and required data is comprehensively collected through manual data collection, arrangement and computer intelligent data importing after the data related to urban planning and evaluation are judged; classifying and sorting the collected data according to basic data, index data and evaluation data; respectively storing the data types into an original database;

data preprocessing: respectively retrieving basic data, index data and evaluation data from an original database, performing standardized inspection on the basic data, performing format conversion, coordinate unification processing, graph and attribute information standardization processing and data supplement calculation on the basic data unqualified in the standardized inspection, obtaining basic data in a standard format, and storing the basic data and the basic data qualified in the inspection in a standard database together; carrying out standardization processing on the index data, setting planning control index keywords according to planning properties and industry categories, retrieving, searching and extracting the planning control index data, generating control index data and storing the control index data in a standard database; performing thematic filtering on the evaluation data and classifying the evaluation data according to attribute categories, performing data screening and redundant information rejection on the thematic evaluation data with different attribute categories according to the requirements of the evaluation index data, performing evaluation index fusion comparison, deleting repeated evaluation index data, generating evaluation index system data and storing the evaluation index system data in a standard database; extracting standard basic data, evaluation data and index data from a standard database, carrying out data classification, classifying and segmenting the classified evaluation data and index data, mining and extracting keywords, sequencing the extracted keywords, establishing an association relation with the standard data, and establishing an index keyword database;

And (3) data storage: storing the preprocessed data into a specified database;

data demand analysis: the method comprises the steps of sorting requirement information of a user, combining key element requirements and related element requirements of urban planning, positioning, analyzing and evaluating according to a reverse analysis method, and acquiring data requirement information and index requirement information required during evaluating; the data demand information and the index demand analysis are respectively arranged and sequenced to generate a data demand list and an evaluation module demand list;

the evaluation module generates: judging whether the evaluation indexes in the evaluation demand list exist in a standard database, if yes, selecting, and if no, newly building the evaluation indexes; fusing the selected evaluation index and the newly-built evaluation index to generate an evaluation module meeting the requirements of users;

evaluation operation: corresponding basic data and index data are called in a standard database, and are input into an evaluation module to carry out statistical calculation of evaluation related elements; setting weight parameters of corresponding evaluation indexes according to the evaluation data; according to the set weight parameters, analyzing and calculating the urban planning implementation effect, generating an urban planning implementation effect evaluation result, and storing the urban planning implementation effect evaluation result into an evaluation result database;

The achievement utilization: retrieving an urban planning implementation effect evaluation result from a database; sorting and sorting according to the related problems of the urban planning in the result to generate various planning early warning information; analyzing the result of city planning implementation effect evaluation in combination with city planning related laws, expertise and city positioning to generate city planning suggestions; and performing special analysis on the urban planning implementation effect evaluation result to generate a special analysis result.

An urban planning implementation effect analysis and evaluation method, wherein the method further comprises the following steps: updating data: the real-time data is imported by artificial judgment and computer intelligent searching to judge the effectiveness of the data, the real-time data is imported by artificial data and the computer intelligent automatic collection and import, the collected data is subjected to attribute arrangement to judge the category of the data, and the data after the attribute judgment is classified and arranged according to the basic data, the index data and the evaluation data; respectively storing the data types into an original database; judging whether the required data in the data demand information list exists in a standard database, if not, collecting the required data through manual data collection and arrangement and computer intelligent data importing; classifying and sorting the collected data according to basic data, index data and evaluation data; and respectively storing the data types into an original database.

An urban planning implementation effect analysis and evaluation method, wherein the data collection comprises the following steps:

and (3) data collection: the information related to city planning and evaluation is manually judged, and the required data is comprehensively collected through manual data collection, arrangement and computer intelligent data importing after the data related to city planning and evaluation are judged;

sorting data: sorting and judging the attribute of the collected data to be in a category, and sorting the data subjected to attribute judgment according to the basic data, the index data and the evaluation data;

creating an original database: and storing the classified and sorted data into an original database according to the types.

An urban planning implementation effect analysis and evaluation method, wherein the data classification and arrangement comprises the following steps:

and (3) classification and discrimination: performing attribute arrangement on the collected data; judging the attribute as geographic information attribute data, public thematic attribute data and space planning attribute data as basic data, judging the attribute data with the attribute as attribute data containing various control indexes as index data, and judging the attribute data with the attribute as attribute data containing various evaluation data as evaluation data;

Sorting: classifying and sorting the data after attribute judgment, wherein the basic data are classified according to historical data, current data and planning data, and spatial positioning attribute association is carried out respectively; combing the index data according to one or a combination of industries, years, areas, administrative regions and land types; the assessment data is carded by one or a combination of industry and specialty.

An urban planning implementation effect analysis and evaluation method, wherein the data preprocessing comprises the following steps:

data input: respectively retrieving basic data, index data and evaluation data from an original database, and respectively inputting the basic data, the index data and the evaluation data into a designated path for data input;

standardized inspection: the basic data are subjected to standardized inspection one by one according to the data format, the coordinate system, the space range, the attribute information and the information integrity, whether the data are qualified or not is judged, the inspected qualified data are stored in a specified standard database, and the unqualified data are stored under a specified path;

data classification processing: performing format conversion, coordinate unification, graphics and attribute information standardization on the basic data unqualified in the standardization inspection, performing space superposition, graphics data updating and attribute calculation on the current situation data and the planning data, obtaining basic data in a standard format, and storing the basic data in a standard database; generating graph and text information which accord with the standard from the index data, setting planning control index keywords according to planning properties and industry categories, searching and searching in the graph and text information which accord with the standard, extracting the planning control index according to the type, and generating control index data; filtering the collected evaluation data, extracting thematic evaluation data related to the evaluation indexes, classifying according to attribute categories, and generating thematic evaluation data with different attribute categories; the method comprises the steps of screening the thematic evaluation data with different attribute categories according to the requirements of the evaluation index data, eliminating redundant information, then carrying out fusion comparison, deleting repeated evaluation index data, and generating evaluation index system data;

Creating a standard database: the method comprises the steps of respectively storing basic data, processed basic data, control index data and evaluation index system data which are qualified in standardized inspection into a standard database;

and (3) abstract extraction: extracting standard basic data, evaluation data and index data from a standard database, and classifying according to administrative division, industry, current situation, planning and format; classifying and segmenting the classified evaluation data and index data according to industries and areas, and mining and extracting keywords by adopting a keyword mining algorithm; sorting the extracted keywords according to the characteristics, the high correlation and the characteristics of the industry and establishing an association relation with standard data; and establishing an index keyword database for the ordered keywords.

An urban planning implementation effect analysis and evaluation method, wherein the data classification processing comprises the following steps:

and (3) basic data processing: performing format conversion, coordinate unification, graphics and attribute information standardization on the basic data unqualified in the standardization inspection, performing space superposition, graphics data updating and attribute calculation on the current situation data and the planning data, obtaining basic data in a standard format, and storing the basic data in a standard database;

And (3) index data processing: extracting index data, and generating graph and text information meeting the standard from the index data; setting planning control index keywords according to planning properties and industry categories, and searching in graphics and text information meeting standards; extracting planning control indexes of the retrieved data according to the type; generating control index data for the extracted planning control index data;

evaluation data processing: filtering the collected evaluation data, extracting thematic evaluation data related to the evaluation indexes, classifying according to attribute categories, and generating thematic evaluation data with different attribute categories; and carrying out data screening on thematic evaluation data with different attribute types according to the requirements of the evaluation index data, carrying out fusion comparison after eliminating redundant information, and deleting repeated evaluation index data to generate evaluation index system data.

An urban planning implementation effect analysis and evaluation method, wherein the basic data processing comprises the following steps:

format conversion: extracting unqualified data in the unqualified basic data of the standardized inspection, performing format conversion, and storing the data after format conversion into a basic database with correct format;

Coordinate conversion: extracting data with inconsistent coordinates from the basic data with unqualified standardized inspection, carrying out coordinate unification, extracting data with inconsistent coordinates from the basic database with correct format, carrying out coordinate unification, and storing the data after coordinate unification into the basic database with consistent coordinates;

and (3) standardization treatment: extracting the data with non-standard graphics and attribute information in the basic data with unqualified standardized inspection, performing the standardized processing of the graphics and the attribute information, extracting the data with non-standard graphics and attribute information in the basic data with consistent coordinates, performing the standardized processing of the graphics and the attribute information, and storing the data after the standardized processing of the graphics and the attribute information into a basic data intermediate library;

data supplementing operation: and extracting the current data and planning data from the basic data intermediate library, performing space superposition, graphic data updating and attribute calculation, obtaining basic data in a standard format, and storing the basic data in the standard database.

An urban planning implementation effect analysis and evaluation method, wherein the data supplementing operation comprises the following steps:

and (3) data superposition: extracting current situation data and planning data from a basic data intermediate library to carry out space superposition;

Updating graphics data: interpreting the superimposed data in combination with topographic map data, image data and field investigation data to update the graphic data;

and (3) calculating attribute information: performing attribute calculation on the updated graphic data to obtain basic data in a standard format, and storing the basic data into a standard database;

calculating land areas S of the land by using a graphic area calculation formula according to the updated graphic data boundary point coordinates _{Ground (floor)} Building floor space S _{Occupying the area of} Green area S _{Green, green} Wherein the picture isThe shape area calculation formula is:

wherein S represents the graphic area, x _i 、y _i Representing the coordinates of the ith point on the graphic boundary, x _i+1 、y _i+1 Representing the coordinates of the (i+1) th point on the boundary of the graph, wherein 0.ltoreq.i.ltoreq.n-1, and x _n ＝x ₀ and y_n ＝y ₀ ；

Building area of the building in the updated data is calculated according to the building floor area information calculated by the updated data and the layer number information of the corresponding building by utilizing a building area calculation formula, wherein the building area calculation formula is as follows:

S _{building construction} ＝S _{Occupying the area of} *C

S _{Building construction} Representing building construction area, S _{Occupying the area of} Representing the floor area of a building, and C represents the number of floors of the building;

calculating the volume rate of the land block in the updated data according to the building area information of the building in the land block calculated by the updated data and the land block area information of the corresponding land block by utilizing a volume rate calculation formula, wherein the volume rate calculation formula is as follows:

R represents the volume rate of land used block, S _{Ground (floor)} Representing the land area of the land, S _{Total of Jian} Representing the total building area of the building in the land;

wherein

wherein S_{Jian i} Representing the building area of the ith building in the land, S _{Occupy i} Representing the floor area of the ith building in the land, C _i Indicating the number of floors of the i-th building in the land;

building density of the land in the updated data is calculated according to the land occupation area information of the building in the land and the land area information of the corresponding land by using a building density calculation formula, wherein the building density calculation formula is as follows:

wherein M represents the building density of the land used block, S _{Ground (floor)} Representing the land area of the land, S _{Accounting for the total} Representing the total occupied area of the building in the land;

wherein

wherein S_{Occupy i} Representing the floor area of the i-th building in the land;

and calculating land utilization coefficients of the land plots in the updated data according to the land plot area information in the updated data and the land plot area information of the corresponding land plots by using a land utilization coefficient calculation formula, wherein the land utilization coefficient calculation formula is as follows:

wherein U represents land utilization coefficient of land block, S _{Ground (floor)} Representing the land area of the land, S _{Green, green} Representing the green land area in the land;

calculating the greenbelt rate of the land block in the updated data according to the greenbelt area information in the land block calculated by the updated data and the land block area information of the corresponding land block by using a greenbelt rate calculation formula, wherein the greenbelt rate calculation formula is as follows:

wherein Q represents greenbelt rate of land block, S _{Green, green} Represents the green land area in the land, S _{Ground (floor)} Representing the plot area of land;

calculating the average layer number of the land parcels in the updated data by using a building average layer number calculation formula according to the building area data in the land parcels calculated by the updated data and the land parcel area information of the corresponding land parcels, wherein the building average layer number calculation formula is as follows:

wherein

Represents the average layer number of land used plots S _{Total of Jian} Representing the total building area of the building in the land, S _{Accounting for the total} Representing the total floor area of the building in the land;

wherein

S _{Jian i} Representing the building area of the ith building in the land, S _{Occupy i} Representing the footprint of the ith building in the site.

An urban planning implementation effect analysis and evaluation method, wherein the index data processing comprises the following steps:

data standardization processing: extracting index data, and generating graph and text information meeting the standard from the index data;

Keyword retrieval: setting planning control index keywords according to planning properties and industry categories, and searching in graphics and text information meeting standards;

and (3) control index extraction: extracting planning control indexes of the retrieved data according to the type;

generating control index data: and respectively generating control index data according to different categories for the extracted planning control index data, and storing the control index data into a standard database.

An urban planning implementation effect analysis and evaluation method, wherein the evaluation data processing comprises the following steps:

and (3) thematic filtering: performing evaluation topic filtration on the collected evaluation data, and extracting topic evaluation data related to evaluation indexes;

and (3) industry classification treatment: classifying the extracted thematic evaluation data according to attribute categories to generate thematic evaluation data with different attribute categories;

and (5) filtering junk information: the thematic evaluation data with different attribute categories are subjected to data screening according to the evaluation index data requirements, and redundant information is removed;

and (3) evaluation index generation: and carrying out fusion comparison on the filtered evaluation index data, deleting the repeated evaluation index data, generating evaluation index system data and storing the evaluation index system data in a standard database.

An urban planning implementation effect analysis and evaluation method, wherein the abstract extraction comprises the following steps:

standard data extraction: extracting standard basic data, evaluation data and index data from a standard database, and storing the basic data, the evaluation data and the index data into a specified path;

data classification: classifying standard basic data, evaluation data and index data according to areas, regions, industries, current situations, planning and formats;

data segmentation: classifying and segmenting the classified evaluation data and index data according to industries, areas and regions;

keyword mining: the method comprises the steps of adopting a keyword mining algorithm to mine and extract keywords for evaluation data and index data after classification and segmentation;

keyword association ordering: sorting the extracted keywords according to the characteristics, the high correlation and the characteristics of the industry and establishing an association relation with standard data;

establishing an index keyword database: and establishing an index keyword database for the ordered keywords.

An urban planning implementation effect analysis and evaluation method, wherein the data demand analysis comprises the following steps:

user demand input: the demand information of the user is tidied and the tidied demand information is input into a specified path;

Related element analysis: the method comprises the steps of acquiring data demand information and index demand information required by evaluation according to a reverse analysis method by combining key element demands and related element demands of urban planning positioning analysis evaluation;

generating data requirements: the data demand information is arranged and ordered to generate a data demand list;

generating module requirements: and sorting the index demand information to generate an evaluation module demand list.

An urban planning implementation effect analysis and evaluation method, wherein the evaluation module generation comprises the following steps:

judging and evaluating indexes: judging whether the evaluation indexes in the evaluation demand list exist in the standard database, if so, selecting corresponding evaluation indexes from the standard database according to the evaluation module demand list, and storing the evaluation indexes in a designated path; if the judgment result shows that the evaluation index does not exist, newly building the evaluation index;

newly building an evaluation index: establishing a new evaluation index according to the evaluation index of the requirements in the evaluation module requirement list and the original evaluation data, and storing the new evaluation index into a designated path;

combining evaluation indexes: selecting corresponding evaluation indexes from the standard database and fusing the newly-built evaluation indexes to form evaluation indexes meeting the requirements of users;

Generating an evaluation module: and storing the evaluation index meeting the user requirements under the specified path, and generating an evaluation module meeting the user requirements.

An urban planning implementation effect analysis and evaluation method, wherein the evaluation operation comprises the following steps:

data import: according to the data demand information list, corresponding basic data and index data are called in a standard database, and the called data are input into an evaluation module;

evaluation-related element statistical calculation: carrying out statistics calculation on related elements according to the evaluation indexes in the evaluation module;

the related elements comprise a current situation condition of an evaluation time point, a time-varying condition of the evaluation time point, development intensity of the evaluation time point, execution condition of an index of the evaluation time point, average condition of the evaluation time point, balance condition of the evaluation time point, stock condition of the evaluation time point and population condition of the evaluation time point;

wherein: the present situation includes: the current situation various planning property land data and the current situation various planning property building data are respectively obtained through an operation formula, wherein the statistical calculation formula of the current situation various planning property land data is as follows:

Representing the total plot area of the j-class land property at the time point of t-assessment, +.>

Representing the land area of the ith block of land in the j-type land property at the time of t evaluation;

the statistical calculation formula of the current various planning property building data is as follows:

representing the total building area of the building in the j-class land property at the time of t-assessment,/->

Represents the building area of the ith building at the time of t evaluation in the j-class land property,/>

Represents the floor area of the ith building at the time of t evaluation in the j-class floor properties, +.>

The number of layers of the ith building in the j-type land property at the time of t evaluation is represented;

wherein the change condition calculation includes: the current situation of different evaluation time points is various in the land change situation of planning property, and the current situation of different evaluation time points is various in the building change situation of planning property;

the calculation formulas of the land change conditions of various planning properties at different evaluation time points are as follows:

represents the land quality used floor area variation of class j, < >>

Representing the total land area of the j-class land property at the time of evaluation reference year;

the calculation formulas of the building change conditions with various planning properties at different evaluation time points are as follows:

Representing the building area variation of a building in the nature of a class j land, +.>

Representing the total building area of the building with the j-class floor property at the time of t-assessment, +.>

Indicating that the j-class land property is inEvaluating the total building area of the building at the reference year;

wherein the development intensity data includes: volume rate, building density, average land utilization coefficient;

according to the extracted basic data, the index data utilization volume rate calculation formula, the building density calculation formula and the average land utilization coefficient calculation formula, the volume rate, the building density and the average land utilization coefficient of land parcels with different land use properties are calculated respectively, wherein the volume rate calculation formula is as follows:

volume rate of land at time point of t evaluation representing property of j-class land, +.>

Total land area of land at time point of evaluation of t representing property of j-class land, +.>

Representing the total building area of the building in the j-class land property land at the time point of t evaluation;

the building density calculation formula is:

wherein

Represents the building density of the j-class land property land at the time point of t evaluation, +.>

Representing the total occupied area of the buildings in the j-class land property land at the time point of t evaluation;

wherein

wherein

Representing the floor area of an ith building in the j-class land property land at the time point of t evaluation;

the average land utilization coefficient calculation formula is:

wherein

Represents the average land use coefficient at the time point of t evaluation, U _j(t) Land utilization coefficients at the time of t evaluation of land properties of class j, n representing the number of land properties;

wherein, the index execution condition includes: urban construction land index execution conditions, urban land total scale index execution conditions, farmland conservation quantity index execution conditions and people-average urban construction land index execution conditions;

calculating various index execution conditions respectively according to the fetched basic data and the index data by using an execution condition calculation formula, wherein the execution condition calculation formula is as follows:

ω (t) represents the t-evaluation time-point index execution condition, τ (t) represents the t-evaluation time-point index condition, τ ₀ Representing a planning index standard value;

wherein, the people average condition system includes: a city and town construction land index, a city and residence building area index, a public facility land index, a public green area index and a public green area index;

According to the retrieved basic data and index data, the average person condition of various indexes is calculated by using an average person condition calculation formula, wherein the average person condition calculation formula is as follows:

α (t) represents the average human population at the time of t evaluation, δ (t) represents the statistical condition at the time of t evaluation, and P (t) is the population value at the time of t evaluation;

wherein the equalization condition includes: living balance, public facility balance, industrial balance, greenfield balance, population density balance, sports land balance;

according to the fetched basic data and index data, respectively calculating the balance degree conditions of various indexes by using a balance degree calculation formula, wherein the balance degree calculation formula is as follows:

ψ (t) represents the index balance at the time of t evaluation, τ (t) represents the index condition at the time of t evaluation, τ ₀ Representing a planning index standard value;

wherein t represents an evaluation time point corresponding to the evaluation, j represents planning properties, and can represent any one or combination of a living land, a public management and public service land, a commercial service construction land, an industrial land, a logistics storage land, a road and traffic construction land, a public construction land, a green land, a square land and a non-construction land;

Wherein the stock condition comprises: planning permission stock, control stock, current stock of total stock, planning property land area stock and planning property building area stock;

wherein: the statistical calculation of population conditions adopts three methods:

the method comprises the following steps: population data linear estimation is carried out by using population census data and statistical yearbook data:

the second method is as follows: the population calculation formula in the population calculation planning period by using the population growth rate and the planned saturated year is as follows:

where P (t) is the population at the time point of evaluation of t, t ₀ Represents the initial evaluation time point, P ₀ To initially evaluate the population at time point, P _m R is the population number of saturated years, r is the population growth rate, and t represents the corresponding evaluation time point;

and a third method: the population data calculation is carried out by using the signaling data, specifically: calling original signaling data, and performing data preprocessing, data segmentation and field filtering; the basic data and the filtered data are subjected to data superposition, mapping association is carried out, and data analysis is carried out to obtain regional population data conditions;

parameter setting: setting weight parameters of corresponding evaluation indexes according to the evaluation data;

evaluation analysis operation: according to the set weight parameters, analyzing and calculating the implementation effect of the urban planning according to an analytic hierarchy process;

The evaluation operation sequentially carries out operation through three layers of element indexes, basic indexes and comprehensive indexes, wherein the element index calculation is divided into realization degree, deviation degree and mixed deviation rate;

calculating element indexes according to the basic data and the index data which are fetched and according to a calculation formula of the realization degree, wherein the calculation formula of the realization degree is as follows:

f _j calculating the score of the index representing the element, and taking the value of the index score as 100 when the calculated result is more than 100; l (t) represents the specific value of the evaluation time point, L ₀ Planning a standard value;

l can represent a regional production total value, a per capita regional production total value, a GDP proportion of a third industry, an industrial density, a proportion of a non-agricultural increment value, a social fixed asset investment, a per urban resident income, a per rural resident income, a urbanization rate, a forest coverage rate, a greenbelt rate of a built-up area, a per urban public greenbelt, an ecological red line protection integrity degree, a sewage treatment rate, an annual air quality fine day proportion, a proportion of a number of completed projects of a construction project, an average efficiency among main land property planning permission stages, a control coverage rate, an infrastructure solidity degree and a public service facility solidity degree;

calculating element indexes according to the basic data and the index data which are fetched and according to a calculation formula of the deviation degree, wherein the calculation formula of the deviation degree is as follows:

f _j Calculating score by indicating element index, D (t) indicating specific value of evaluation time point, D ₀ Planning a standard value;

d may represent resident population, town population, population density, coverage of primary and secondary schools, average land use coefficient, industrial volume rate;

calculating element indexes according to the basic data and the index data which are fetched and according to a calculation formula of the mixed deviation rate, wherein the calculation formula of the mixed deviation rate is as follows:

f _j calculating scores representing the element indexes; h (t) represents the specific value of the evaluation time point, H ₀ And planning standard values.

H can represent the area of urban mass public facilities, the area of urban mass living and building, the area of urban mass sports and the scale proportion of urban construction land and the area of urban construction land;

calculating a basic index according to the calculated element index and the set weight parameter, wherein the basic index calculation formula is as follows:

F _i a score representing the i index; f (F) _ij A score representing an index j of the i index; w (W) _ij The weight value of the index j relative to the target i is represented; n represents the number of indexes;

calculating a comprehensive index according to the calculated basic index and the set weight parameter, wherein the calculation formula of the comprehensive index is as follows:

F represents the comprehensive score of the planning evaluation; f (F) _i Representing the i target score; w (W) _i A weight value representing the i target; n represents the number of evaluation targets;

generating an evaluation result: and generating an urban planning implementation effect evaluation result according to the evaluation analysis operation result, and storing the result into an evaluation result database.

An urban planning implementation effect analysis and evaluation method, wherein the population data calculation method III comprises the following steps:

raw data input: calling original signaling data from a standard database;

data preprocessing: performing data preprocessing on the fetched original signaling data;

and (3) field filtering: carrying out data segmentation and field filtration on the preprocessed signaling data;

and (3) basic data superposition: the basic data and the filtered data are subjected to data superposition and mapping association;

data analysis: and carrying out data analysis on the data after mapping association to obtain regional population data conditions.

An urban planning implementation effect analysis and evaluation method, wherein the achievement utilization comprises the following steps:

and (5) calling an evaluation result: retrieving an urban planning implementation effect evaluation result from a database;

generating planning early warning information: sorting and sorting the related problems of the urban planning in the urban planning implementation effect evaluation result to generate various planning early warning information;

Generating city planning suggestions: analyzing the result of city planning implementation effect evaluation in combination with city planning related laws, expertise and city positioning to generate city planning suggestions;

special analysis: and performing special analysis on the urban planning implementation effect evaluation result to generate a special analysis result.

The city planning implementation effect analysis and evaluation method comprises the following specific steps of: collecting data by social investigation and field collection, and sorting the collected data and the original data; the intelligent data importing step of the computer is as follows: after related data is acquired by keywords, the data is intelligently checked and then collected through the Internet; the judging data effectiveness: the judgment can be carried out according to the day, month, quarter and year; the types of the collected data include: basic data, index data, and evaluation data; the base data includes: geographical national condition census data, construction land data, engineering land condition data, image data, topographic map data, house data, land data, planning control data, various types of statistical annual survey data, census data, planning permission data, verification land data, completion acceptance data and overall planning data; the index data includes: national economic communal bulletin data, social development communal bulletin data, government work report data, government planning schema data, city positioning index data, public thematic index data and local specialty guide files; the evaluation data includes: country, minister, local related laws, regulations, standard data, analysis and evaluation of normative files, research result data and expert scoring data; the format conversion includes: converting the picture format into a CAD format, converting the picture format into a GIS format, converting the CAD format into a GIS format, and converting the GIS format into a CAD format; the coordinate unification processing includes: converting the coordinate system and unifying the comparison factors; the standardized processing of the graph and the attribute information comprises the following steps: processing the merging, cutting, replacing and deleting of the graphics; the attribute calculation includes: land area, building occupation area, building construction area, volume rate, building density, green land rate, land utilization coefficient and average number of layers of buildings; the type of the control index extraction comprises; extracting according to land indexes of different areas, land areas of various planning properties and quantitative indexes of the end of a planning period; the control index data includes: limiting graphs, limiting index data and guiding data; the attribute categories include: social, economic, personal, historical, geographic; the evaluation index includes: comprehensive index, basic index and element index. Wherein the basic index comprises: economic index, social index, resource ecological index, planning and performance index; wherein the element index includes: regional economic production total value index, average region production total value index, third industry occupied GDP proportion index, industrial industry density index, non-agricultural increment value proportion index, social fixed asset investment index, urban resident average dominant income index, rural resident average pure income index, resident population index, urban conversion rate index, population density index, urban public facility land area index, urban average residence building area index, urban average sports area index, middle and primary school coverage rate index, urban construction land scale occupied scale proportion index, average urban construction land index, average land utilization coefficient index, industrial volume rate index, forest coverage rate index, construction area green land index, urban average public green land index, ecological red line protection completeness index, sewage treatment rate index, annual air quality number of days excellent ratio index, construction project occupied proportion index, main use property planning permission period average efficiency index, control foundation facility falling rate index, public service coverage rate index; evaluating the relevant element statistical calculation further comprises: carrying out statistical calculation on engineering ground condition data and current environmental condition statistical calculation; the calculation of the related elements is carried out according to the evaluation time point of the user requirement, and the specified evaluation time point is set as the current situation; the regional population data includes different regional population data, different regional population density data; the city planning implementation effect evaluation results are divided into different evaluation time points which can be divided into quarterly and year; the city planning implementation effect evaluation result comprises: urban planning current situation report, urban planning comparison analysis report, urban planning future prediction report, urban planning related problem report and urban planning implementation effect evaluation grade; output form of the report: presented singly or in combination by text, forms, graphics, audio, video; the specialized analysis includes: civil service analysis, economic development analysis, urban population distribution analysis, traffic road condition analysis, crowd travel route analysis, crowd migration analysis, urban space morphology evolution analysis, urban road traffic planning analysis, urban construction land evolution analysis, urban different azimuth extension intensity analysis, regional development condition analysis, urban thematic analysis, job panorama analysis, regional environment analysis and geological condition analysis.

It can be seen from this:

the city planning implementation effect analysis and evaluation method in the embodiment of the invention comprises the following steps: the technical problems and defects existing in the existing urban planning evaluation are solved, a complete urban planning evaluation system is established, and a brand new urban planning evaluation method is provided. The quantitative evaluation indexes and the corresponding evaluation systems are formed rapidly through collection, processing and analysis utilization of various data sources, the evaluation element calculation method of various methods is provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and rapid and accurate generation of the evaluation results is realized. The evaluation result has various forms and can display the characteristics of the evaluation result in the forms of characters, figures, tables and the like, and the evaluation result can also load related data to realize various analysis and utilization of results, thereby realizing and improving the current situation and the future value of the data. And the urban planning problem can be obtained according to the evaluation result, planning early warning is provided, a powerful basis is provided for urban planning refined management, and the method has important significance for urban planning management.

Drawings

FIG. 1 is a schematic diagram of an overall flow chart of an urban planning implementation effect analysis and evaluation method according to an embodiment of the present invention;

FIG. 2 is a second general flow chart of an embodiment of an urban planning implementation effect analysis and evaluation method according to the present invention;

FIG. 3 is a flowchart illustrating a data collection step in the urban planning implementation effect analysis and evaluation method according to an embodiment of the present invention;

fig. 4 is a flow chart illustrating a data sorting step in the urban planning implementation effect analysis and evaluation method according to an embodiment of the present invention;

FIG. 5 is a flowchart illustrating a data preprocessing step in an urban planning implementation effect analysis and evaluation method according to an embodiment of the present invention;

FIG. 6 is a flowchart illustrating steps of data classification processing in the method for analyzing and evaluating urban planning implementation effect according to an embodiment of the present invention;

FIG. 7 is a flowchart illustrating steps of basic data processing in the method for analyzing and evaluating urban planning implementation effect according to an embodiment of the present invention;

FIG. 8 is a flowchart illustrating a data supplementing operation step in the method for analyzing and evaluating urban planning implementation effect according to an embodiment of the present invention;

FIG. 9 is a flowchart illustrating steps of processing index data in the method for analyzing and evaluating urban planning implementation effect according to an embodiment of the present invention;

FIG. 10 is a flowchart illustrating steps of evaluating data in the method for analyzing and evaluating urban planning implementation effect according to an embodiment of the present invention;

FIG. 11 is a flowchart illustrating a summary extracting step in the method for analyzing and evaluating urban planning implementation effect according to an embodiment of the present invention;

FIG. 12 is a flowchart illustrating a data demand analysis step in an embodiment of an urban planning implementation effect analysis and evaluation method according to the present invention;

FIG. 13 is a flowchart illustrating steps for generating an evaluation module in an embodiment of an analysis and evaluation method for urban planning implementation effect;

FIG. 14 is a flowchart illustrating the evaluation operation steps in the method for analyzing and evaluating urban planning implementation effect according to an embodiment of the present invention;

FIG. 15 is a flowchart illustrating steps of population data calculation in a method for analyzing and evaluating urban planning implementation effect according to an embodiment of the present invention;

fig. 16 is a flowchart illustrating a result utilization step in the urban planning implementation effect analysis and evaluation method according to an embodiment of the present invention.

Detailed Description

For a better understanding of the present invention, reference will now be made in detail to the present invention, examples of which are illustrated in the accompanying drawings and described in the following examples, wherein the present invention is illustrated, but is not limited to, the accompanying drawings.

Example 1:

Fig. 1 is a method for analyzing and evaluating the effect of urban planning implementation, which comprises the following steps:

And (3) data storage: storing the preprocessed data into a specified database;

An urban planning implementation effect analysis and evaluation method as shown in fig. 2, the method further comprises: updating data: the real-time data is imported by artificial judgment and computer intelligent searching to judge the effectiveness of the data, the real-time data is imported by artificial data and the computer intelligent automatic collection and import, the collected data is subjected to attribute arrangement to judge the category of the data, and the data after the attribute judgment is classified and arranged according to the basic data, the index data and the evaluation data; respectively storing the data types into an original database; judging whether the required data in the data demand information list exists in a standard database, if not, collecting and sorting the required data through manual data and importing the computer intelligent data to comprehensively collect the required data; classifying and sorting the collected data according to basic data, index data and evaluation data; and respectively storing the data types into an original database.

An urban planning implementation effect analysis and evaluation method as shown in fig. 3, wherein the data collection comprises the following steps:

The method for analyzing and evaluating the urban planning implementation effect shown in fig. 4 comprises the following steps:

An urban planning implementation effect analysis and evaluation method as shown in fig. 5, wherein the data preprocessing comprises the following steps:

The method for analyzing and evaluating the urban planning implementation effect shown in fig. 6 comprises the following steps:

The city planning implementation effect analysis and evaluation method as shown in fig. 7, the basic data processing includes the following steps:

The city planning implementation effect analysis and evaluation method as shown in fig. 8, the data supplementing operation comprises the following steps:

calculating land areas S of the land by using a graphic area calculation formula according to the updated graphic data boundary point coordinates _{Ground (floor)} Building floor space S _{Occupying the area of} Green area S _{Green, green} Wherein the graphic area calculation formula is:

S _{building construction} ＝S _{Occupying the area of} *C

wherein

/>

wherein

wherein

wherein

The method for analyzing and evaluating the urban planning implementation effect shown in fig. 9 comprises the following steps:

An urban planning implementation effect analysis and evaluation method as shown in fig. 10, wherein the evaluation data processing comprises the following steps:

The method for analyzing and evaluating the urban planning implementation effect shown in fig. 11 comprises the following steps:

An urban planning implementation effect analysis and evaluation method as shown in fig. 12, wherein the data demand analysis comprises the following steps:

An urban planning implementation effect analysis and evaluation method as shown in fig. 13, wherein the evaluation module generation comprises the following steps:

An urban planning implementation effect analysis and evaluation method as shown in fig. 14, wherein the evaluation operation comprises the following steps:

The plot area of the ith plot at the time of t evaluation in the j-class plot property is shown:

total building area of buildings in class j land property at time point of t evaluation, +.>

represents the land quality used floor area variation of class j, < >>

the calculation formulas of the various planning property building change conditions of the current situation of the evaluation time points of different years are as follows:

Representing the total building area of the building for the j-class land property at the time of the reference year of evaluation;

Representing the nature of the j-class landTotal building area of the building at time t evaluation;

the building density calculation formula is:

wherein

wherein

wherein

wherein

ψ (t) represents the index balance at the time of t evaluation, τ (t) represents the index condition at the time of t evaluation, τ ₀ Representing planning indicatorsA standard value;

the method comprises the following steps: carrying out population data linear calculation by using population census data and statistical yearbook data;

parameter setting: according to the evaluation data, applying an analytic hierarchy process, and combining regional characteristics, social investigation and expert advice, setting weight parameters of corresponding evaluation indexes;

/>

A city planning implementation effort analysis and assessment method as shown in fig. 15, the population data calculation comprising the steps of:

raw data input: calling original signaling data from a standard database;

An urban planning implementation effect analysis and evaluation method as shown in fig. 16, wherein the achievement utilization comprises the following steps:

In the specific embodiment: the specific steps of the manual data collection and arrangement are as follows: collecting data by social investigation and field collection, and sorting the collected data with the original data.

In the specific embodiment: the intelligent data importing step of the computer is as follows: and after the related data are acquired by the keywords, the data are intelligently checked and collected through the Internet.

In the specific embodiment: the validity of the judging data can be judged according to the days, months, quarters and years.

In the specific embodiment: the types of the collected data include: basic data, index data and evaluation data.

In the specific embodiment: the base data includes: geographical national condition census data, construction land data, engineering land condition data, image data, topographic map data, house data, land data, planning control data, various types of statistical annual survey data, census data, planning permission data, approval land data, completion acceptance data and overall planning data.

In the specific embodiment: the index data includes: national economic communal bulletin data, social development communal bulletin data, government work report data, government planning schema data, city positioning index data, public thematic index data, and local specialty guide files.

In the specific embodiment: the evaluation data includes: country, minister, local related laws, regulations, standard data, analysis of assessed normative files, study outcome data, expert scoring data.

In the specific embodiment: the format conversion includes: the picture format is converted into a CAD format, the picture format is converted into a GIS format, the CAD format is converted into a GIS format, and the GIS format is converted into a CAD format.

In the specific embodiment: the coordinate unification processing includes: and converting the coordinate system and unifying the comparison factors.

In the specific embodiment: the standardized processing of the graph and the attribute information comprises the following steps: and processing the merging, cutting, replacing and deleting of the graphics and the attribute information.

In the specific embodiment: the attribute calculation includes: land area, building occupation area, building construction area, volume ratio, building density, greenbelt ratio, land utilization coefficient and average number of layers of buildings.

In the specific embodiment: the type of the control index extraction comprises; and extracting according to land indexes of different areas, land areas of various planning properties and quantitative indexes of the end of a planning period.

In the specific embodiment: the control index data includes: limiting drawing, limiting index data and guiding data.

In the specific embodiment: the attribute categories include: social, economic, personal, historical, geographical.

In the specific embodiment: the evaluation index includes: comprehensive index, basic index and element index.

In the specific embodiment: the basic indexes comprise: economic index, social index, resource ecological index, planning and performance index; .

In the specific embodiment: the element index includes: regional economic production total value index, average region production total value index, third industry occupied GDP proportion index, industrial industry density index, non-agricultural increment value proportion index, social fixed asset investment index, urban resident average dominant income index, rural resident average pure income index, resident population index, urban conversion rate index, population density index, urban public facility land area index, urban average residence building area index, urban average sports area index, middle and primary school coverage rate index, urban construction land scale occupied scale proportion index, average urban construction land index, average land utilization coefficient index, industrial volume rate index, forest coverage rate index, construction area green land index, urban average public green land index, ecological red line protection completeness index, sewage treatment rate index, annual air quality number of days excellent proportion index, construction project occupied proportion index, main use property planning permission period average efficiency index, foundation facility falling rate index and public service coverage rate index.

In the specific embodiment: evaluating the relevant element statistical calculation further comprises: carrying out statistical calculation on engineering ground condition data and current environmental condition statistical calculation; the calculation of the related elements is performed according to the evaluation time point of the user demand, and the preset evaluation time point is set as the current situation.

In the specific embodiment: the regional population data includes different regional population data and different regional population density data.

In the specific embodiment: the city planning implementation effect evaluation results are divided into different evaluation time points, and the evaluation time points can be divided into quarterly and year.

In the specific embodiment: the city planning implementation effect evaluation result comprises: urban planning current situation report, urban planning comparison analysis report, urban planning future prediction report, urban planning related problem report and urban planning implementation effect evaluation grade.

In the specific embodiment: output form of the report: presented by a single presentation or a combination of text, forms, graphics, audio, video.

In the specific embodiment: the specialized analysis includes: civil service analysis, economic development analysis, urban population distribution analysis, traffic road condition analysis, crowd travel route analysis, crowd migration analysis, urban space morphology evolution analysis, urban road traffic planning analysis, urban construction land evolution analysis, urban different azimuth extension intensity analysis, regional development condition analysis, urban thematic analysis, job panorama analysis, regional environment analysis and geological condition analysis.

Example 2:

fig. 2 is a flow chart of an urban planning implementation effect analysis and evaluation method provided in the present embodiment, as shown in fig. 2, and the method includes the following steps:

fig. 2 is a method for analyzing and evaluating the effect of urban planning implementation, which comprises the following steps:

updating data: the real-time data is imported by artificial judgment and computer intelligent searching to judge the effectiveness of the data, the real-time data is imported by artificial data and the computer intelligent automatic collection and import, the collected data is subjected to attribute arrangement to judge the category of the data, and the data after the attribute judgment is classified and arranged according to the basic data, the index data and the evaluation data; respectively storing the data types into an original database; judging whether the required data in the data demand information list exists in a standard database, if not, collecting and sorting the required data through manual data and importing the computer intelligent data to comprehensively collect the required data; classifying and sorting the collected data according to basic data, index data and evaluation data; respectively storing the data types into an original database;

And (3) data storage: storing the preprocessed data into a specified database;

S _{building construction} ＝S _{Occupying the area of} *C

S _{Building construction} Representing building construction area, S _{Occupying the area of} Representing the floor area of a building and C representing the number of floors of the building；

wherein

wherein

wherein

Represents the average layer number of land used plots S _{Total of Jian} Representing the total building area of the building in the land, S _{Accounting for the total} Representing the total floor area of the building in the land; />

wherein

S _{Jian i} Representing the building area of the ith building in the land, S _{Occupy i} Representing the footprint of the ith building in the areaAnd (3) accumulation.

Represents the land quality used floor area variation of class j, < >>

The building density calculation formula is:

wherein

wherein

wherein

the average land utilization coefficient calculation formula is:

/>

wherein

/>

The city planning implementation effect analysis and evaluation method as shown in fig. 15, wherein the population data calculation method III comprises the following steps:

raw data input: calling original signaling data from a standard database;

Example 3:

And (3) data storage: storing the preprocessed data into a specified database;

S _{building construction} ＝S _{Occupying the area of} *C

wherein

wherein

wherein

Represents the average layer number of land used plots S _{Total of Jian} Representing the total building area of the building in the land, S _{Accounting for the total} Indicating the interior of the landThe total floor area of the building;

wherein

Wherein evaluating the metric system data comprises: comprehensive indexes, basic indexes and element indexes;

the basic indexes comprise: economic index, social index, resource ecological index, planning and performance index;

the element indexes comprise: regional economic production total value index, average region production total value index, third industry occupied GDP proportion index, industrial industry density index, non-agricultural increment value proportion index, social fixed asset investment index, urban resident average dominant income index, rural resident average pure income index, resident population index, urban conversion rate index, population density index, urban public facility land area index, urban average residence building area index, urban average sports area index, middle and primary school coverage rate index, urban construction land scale occupied scale proportion index, average urban construction land index, average land utilization coefficient index, industrial volume rate index, forest coverage rate index, construction area green land index, urban average public green land index, ecological red line protection completeness index, sewage treatment rate index, annual air quality number of days excellent proportion index, construction project occupied proportion index, main use property planning permission period average efficiency index, foundation facility falling rate index and public service coverage rate index.

The evaluation module for index hierarchy division and generation by adopting the analytic hierarchy process is as follows:

represents the land quality used floor area variation of class j, < >>

the building density calculation formula is:

wherein

wherein

wherein

wherein

the weight setting result of the corresponding index parameter of the urban planning effect evaluation analysis is shown in the following table

/>

F _i a score representing the i index; f (F) _ij Index score representing i index j indexA value; w (W) _ij The weight value of the index j relative to the target i is represented; n represents the number of indexes;

The city planning implementation effect evaluation result comprises: urban planning current situation report, urban planning comparison analysis report, urban planning future prediction report, urban planning related problem report and urban planning implementation effect evaluation grade.

The urban planning implementation effect evaluation grade can be determined according to the urban planning evaluation comprehensive score, and the evaluation grade can be set as follows:

if F is more than or equal to 80, judging that the implementation effect of the urban planning is excellent;

if F is more than or equal to 70 and less than 80, judging that the implementation effect of urban planning is good;

if F is more than or equal to 60 and less than 70, judging that the implementation effect of urban planning is general;

if F is more than or equal to 45 and less than 60, determining that the implementation effect of urban planning is poor;

if F is less than 45, the implementation effect of city planning is judged to be extremely poor.

raw data input: calling original signaling data from a standard database;

Wherein the specialized analysis comprises: civil service analysis, economic development analysis, urban population distribution analysis, traffic road condition analysis, crowd travel route analysis, crowd migration analysis, urban space morphology evolution analysis, urban road traffic planning analysis, urban construction land evolution analysis, urban different azimuth extension intensity analysis, regional development condition analysis, urban thematic analysis, job panorama analysis, regional environment analysis and geological condition analysis.

In the specific embodiment: the calculation of the related elements is performed according to the evaluation time point of the user demand, and the preset evaluation time point is set as the current situation.

It can be seen from this: the city planning implementation effect analysis and evaluation method in the embodiment of the invention comprises the following steps: in order to solve the technical problems and defects existing in the conventional urban planning evaluation, a complete urban planning evaluation system is established, and a brand-new urban planning evaluation method is provided. The quantitative evaluation indexes and the corresponding evaluation systems are formed rapidly through collection, processing and analysis utilization of various data sources, the evaluation element calculation method of various methods is provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and rapid and accurate generation of the evaluation results is realized. The evaluation result has various forms and can display the characteristics of the evaluation result in the forms of characters, figures, tables and the like, and the evaluation result can also load related data to realize various analysis and utilization of results, thereby realizing and improving the current situation and the future value of the data. And the urban planning problem can be obtained according to the evaluation result, planning early warning is provided, a powerful basis is provided for urban planning refined management, and the method has important significance for urban planning management.

Although embodiments of the present invention have been described by way of examples, those of ordinary skill in the art will appreciate that there are numerous modifications and variations to the invention without departing from the spirit of the invention, and it is intended that the appended claims encompass such modifications and variations without departing from the spirit of the invention.

Claims

1. The city planning implementation effect analysis and evaluation method is characterized by comprising the following steps of:

data preprocessing: respectively retrieving basic data, index data and evaluation data from an original database, performing standardized inspection on the basic data, performing format conversion, coordinate unification processing, graph and attribute information standardization processing and data supplement calculation on the basic data unqualified in the standardized inspection, obtaining basic data in a standard format, and storing the basic data and the basic data qualified in the inspection in a standard database together; carrying out standardization processing on the index data, setting planning control index keywords according to planning properties and industry categories, retrieving, searching and extracting the planning control index data, generating control index data and storing the control index data in a standard database; performing thematic filtering on the evaluation data and classifying the evaluation data according to attribute categories, performing data screening and redundant information rejection on the thematic evaluation data with different attribute categories according to the requirements of the evaluation index data, performing evaluation index fusion comparison, deleting repeated evaluation index data, generating evaluation index system data and storing the evaluation index system data in a standard database; extracting standard basic data, evaluation data and index data from a standard database, classifying the data, classifying and segmenting the classified evaluation data and index data, mining and extracting keywords, sequencing the extracted keywords, establishing an association relation with the standard data, and establishing an index keyword database; wherein,

The data preprocessing comprises the following steps:

data classification processing: performing format conversion, coordinate unification, graphics and attribute information standardization on the basic data unqualified in the standardization inspection, performing space superposition, graphics data updating and attribute calculation on the current situation data and the planning data, obtaining basic data in a standard format, and storing the basic data in a standard database; generating graph and text information which accord with the standard from the index data, setting planning control index keywords according to planning properties and industry types, searching and searching in the graph and text information which accord with the standard, extracting the planning control index according to the type, and generating control index data; filtering the collected evaluation data, extracting thematic evaluation data related to the evaluation indexes, classifying according to attribute categories, and generating thematic evaluation data with different attribute categories; the method comprises the steps of screening the thematic evaluation data with different attribute categories according to the requirements of the evaluation index data, eliminating redundant information, then carrying out fusion comparison, deleting repeated evaluation index data, and generating evaluation index system data;

and (3) abstract extraction: extracting standard basic data, evaluation data and index data from a standard database, and classifying according to administrative division, industry, current situation, planning and format; classifying and segmenting the classified evaluation data and index data according to industries and areas, and mining and extracting keywords by adopting a keyword mining algorithm; sorting the extracted keywords according to the characteristics of industry and establishing an association relation with standard data; establishing an index keyword database for the ordered keywords;

and (3) data storage: storing the preprocessed data into a specified database;

data demand analysis: the method comprises the steps of sorting requirement information of a user, combining key element requirements and related element requirements of urban planning, positioning, analyzing and evaluating according to a reverse analysis method, and acquiring data requirement information and index requirement information required during evaluating; the data demand information and the index demand information are respectively arranged and sequenced to generate a data demand list and an evaluation module demand list;

The evaluation module generates: judging whether the evaluation indexes in the evaluation demand list exist in a standard database, if yes, selecting, and if no, newly building the evaluation indexes; fusing the selected evaluation index and the newly-built evaluation index to generate an evaluation module meeting the requirements of users; wherein,

the evaluation module generation comprises the following steps:

generating an evaluation module: storing the evaluation index meeting the user requirement under a specified path, and generating an evaluation module meeting the user requirement;

Evaluation operation: corresponding basic data and index data are called in a standard database, and are input into an evaluation module to carry out statistical calculation of evaluation related elements; setting weight parameters of corresponding evaluation indexes according to the evaluation data; according to the set weight parameters, analyzing and calculating the urban planning implementation effect, generating an urban planning implementation effect evaluation result, and storing the urban planning implementation effect evaluation result into an evaluation result database; wherein,

the evaluation operation includes the steps of:

the related elements comprise evaluation time point current situation, evaluation time point change situation, evaluation time point development intensity, evaluation time point index execution situation, evaluation time point average situation, evaluation time point balance situation, evaluation time point stock situation and evaluation time point population situation;

Representing the ith block of the j-class property at the time of t-assessmentLand area at point;

represents the land quality used floor area variation of class j, < >>

representation ofVolume rate of land of class j land property at time point of t evaluation, +.>

the building density calculation formula is:

wherein

wherein

wherein

Representing the floor area of an ith building in the j-class land property land at the time point of t evaluation; />

The average land utilization coefficient calculation formula is:

wherein

wherein, the people average condition includes: a city and town construction land index, a city and residence building area index, a public facility land index, a public green area index and a public green area index;

wherein: the statistical calculation of the population condition is specifically as follows: calling original signaling data, and performing data preprocessing, data segmentation and field filtering; the basic data and the filtered data are subjected to data superposition, mapping association is carried out, and data analysis is carried out to obtain regional population data conditions;

f _j Calculating scores representing the element indexes; h (t) represents the specific value of the evaluation time point, H ₀ The standard value is planned to be a standard value,

F _i a score representing the i goal; f (F) _ij A score representing the j index in the i target; w (W) _ij The weight value of the j index in the i target relative to the i target is represented; n represents the number of indexes;

f represents the comprehensive score of the planning evaluation; f (F) _i A score representing the i goal; w (W) _i A weight value representing the i target; k represents the number of evaluation targets;

generating an evaluation result: generating an urban planning implementation effect evaluation result according to the evaluation analysis operation result, and storing the result into an evaluation result database;

2. The urban planning implementation outcome analysis and assessment method according to claim 1, further comprising: updating data: the timeliness of the data is judged by manual judgment and intelligent computer search, the real-time data is imported by manual data and automatically collected and imported by intelligent computer, the collected data is subjected to attribute sorting and judgment to be of the category, and the data after the attribute judgment is sorted and arranged according to the basic data, the index data and the evaluation data; respectively storing the data types into an original database; judging whether the required data in the data demand information list exists in a standard database, if not, collecting and sorting the required data through manual data and importing the computer intelligent data to comprehensively collect the required data; classifying and sorting the collected data according to basic data, index data and evaluation data; and respectively storing the data types into an original database.

3. The method for analyzing and evaluating the effect of urban planning implementation according to claim 1, wherein the data classification and arrangement comprises the following steps:

sorting: classifying and sorting the data after attribute judgment, classifying the basic data according to historical data, current data and planning data, and respectively carrying out space positioning attribute association; carding the index data according to one or a combination of industries, years, areas, administrative divisions and grounds; the assessment data is carded by one or a combination of industry and specialty.

4. The urban planning implementation outcome analysis and assessment method according to claim 1, wherein the basic data processing comprises the steps of:

5. The urban planning implementation outcome analysis and assessment method according to claim 1, wherein said data supplementary calculation comprises the steps of:

S _{building construction} ＝S _{Occupying the area of} *C

wherein

wherein

wherein

wherein

6. The urban planning implementation outcome analysis and assessment method according to claim 1, wherein said data demand analysis comprises the steps of:

7. A city planning implementation effort analysis and assessment method according to any of claims 1-6, characterized in that: the specific steps of the manual data collection and arrangement are as follows: collecting data by social investigation and field collection, and sorting the collected data and the original data; the intelligent data importing step of the computer is as follows: after related data is acquired by keywords, the data is intelligently checked and then collected through the Internet; judging the timeliness of data: the judgment can be carried out according to the day, month, quarter and year; the types of collected data include: basic data, index data, and evaluation data; the base data includes: geographical national condition census data, construction land data, engineering land condition data, image data, topographic map data, house data, land data, planning control data, various types of statistical annual survey data, census data, planning permission data, verification land data, completion acceptance data and overall planning data; the index data includes: national economic communal bulletin data, social development communal bulletin data, government work report data, government planning schema data, city positioning index data, public thematic index data and local specialty guide files; the evaluation data includes: country, minister, local related laws, regulations, standard data, analysis and evaluation of normative files, research result data and expert scoring data; the format conversion includes: converting the picture format into a CAD format, converting the picture format into a GIS format, converting the CAD format into a GIS format, and converting the GIS format into a CAD format; the coordinate unification processing includes: converting the coordinate system and unifying the comparison factors; the standardized processing of the graph and the attribute information comprises the following steps: merging, cutting, replacing, merging and deleting attribute information of the graphics; the attribute calculation includes: land area, building occupation area, building construction area, volume rate, building density, green land rate, land utilization coefficient and average number of layers of buildings; the type of the control index extraction comprises; extracting according to land indexes of different areas, land areas of various planning properties and quantitative indexes of the end of a planning period; the control index data includes: limiting graphs, limiting index data and guiding data; the attribute categories include: social, economic, personal, historical, geographic; the evaluation index includes: comprehensive indexes, basic indexes and element indexes; wherein the basic index comprises: economic index, social index, resource ecological index, planning and performance index; wherein the element index includes: regional economic production total value index, average region production total value index, third industry occupied GDP proportion index, industrial industry density index, non-agricultural increment value proportion index, social fixed asset investment index, urban resident average dominant income index, rural resident average pure income index, resident population index, urban conversion rate index, population density index, urban public facility land area index, urban average residence building area index, urban average sports area index, middle and primary school coverage rate index, urban construction land scale occupied scale proportion index, average urban construction land index, average land utilization coefficient index, industrial volume rate index, forest coverage rate index, construction area green land index, urban average public green land index, ecological red line protection completeness index, sewage treatment rate index, annual air quality number of days excellent ratio index, construction project occupied proportion index, main use property planning permission period average efficiency index, control foundation facility falling rate index, public service coverage rate index; evaluating the relevant element statistical calculation further comprises: carrying out statistical calculation on engineering ground condition data and current environmental condition statistical calculation; the calculation of the related elements is carried out according to the evaluation time point of the user requirement, and the specified evaluation time point is set as the current situation; the regional population data includes different regional population data, different regional population density data; the city planning implementation effect evaluation results are divided into different evaluation time points which can be divided into quarterly and year; the city planning implementation effect evaluation result comprises: urban planning current situation report, urban planning comparison analysis report, urban planning future prediction report, urban planning related problem report and urban planning implementation effect evaluation grade; output form of the report: presented singly or in combination by text, forms, graphics, audio, video; the specialized analysis includes: civil service analysis, economic development analysis, urban population distribution analysis, traffic road condition analysis, crowd travel route analysis, crowd migration analysis, urban space morphology evolution analysis, urban road traffic planning analysis, urban construction land evolution analysis, urban different azimuth extension intensity analysis, regional development condition analysis, urban thematic analysis, job panorama analysis, regional environment analysis and geological condition analysis.