CN111222661A

CN111222661A - Urban planning implementation effect analysis and evaluation method

Info

Publication number: CN111222661A
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: Kanjoin In Tianjin City; Stargis Tianjin Technology Development Co ltd
Current assignee: Tianjin Survey And Design Institute Group Co ltd
Priority date: 2018-11-25
Filing date: 2018-11-25
Publication date: 2020-06-02
Anticipated expiration: 2038-11-25
Also published as: CN111222661B

Abstract

The invention discloses an analysis and evaluation method for urban planning implementation effect, which relates to the field 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 achievement utilization. The method has the advantages that: by collecting, processing, analyzing and utilizing various data sources, quantitative evaluation indexes and corresponding evaluation systems are quickly formed, evaluation element calculation methods of various methods are provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and the evaluation results are quickly and accurately generated. The evaluation result has various forms, can show the characteristics of the evaluation result in the forms of characters, graphs, tables and the like, and can 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 field of data processing, manufacturing and application, in particular to an urban planning implementation effect analysis and evaluation method which can quickly form quantitative evaluation indexes and a corresponding evaluation system by collecting, processing, analyzing and utilizing various data sources, provide evaluation element calculation methods of various methods, load various data into an evaluation module to obtain quantitative evaluation results, realize quick and accurate generation of the evaluation results and realize various utilization of results, thereby realizing and improving the current situation and the future value of the data.

Background

Urban planning is a prerequisite for building and garden construction, provides conditions for required space, and the progress of urban planning design research also provides unprecedented vast areas for the development of architecture and gardens. The planners are consistent with the work goals of architects and garden designers. With the development of human society, the organic combination and the synergistic creation of the three disciplines tend to push the construction of the body-shaped environment to a higher level.

With the development of social economy, the appearance of cities and the complication of human living environment, city planning and design ideas are generated and are continuously developed. Especially, in the social revolution period, under the condition that the old urban structure cannot meet the requirements of new social life, the urban planning design theory and practice are often leaped. In different generations and different areas, the development level and construction requirements of cities are different, so that the research emphasis of city planning and design is inconsistent and changes along with the development of the times.

The understanding of cities and city planning and design work is continuously deepened. Based on the fact that cities are comprehensive dynamic systems, city planning design research not only focuses on utilization and division of land on a plane, but also is not limited to layout of three-dimensional space, and introduces 'fused comprehensive research' with various requirements on time, economy and society. In urban planning and design work, the largest possible foreseeable and difficult-to-foreseeable situations will be considered, providing as much freedom of choice as possible, and leaving sufficient leeway and many possibilities for future development.

Since the urban problem covers all the imaginations, it has been proposed to establish an urban science with the purpose of studying urban properties, urban models, urban systems and development strategies on the basis of related subject groups; human sociology has also been proposed for the purpose of systematically studying various human habitats in villages, towns, and cities. The new subject can build trees or help deepen the macro understanding of cities, but the development of the new subject needs to be built on the basis of completing a large amount of urban problem research work.

The urban research mission is difficult and numerous, which also indicates its abundant activity. Cities develop forever, and urban problems are always accompanied, but human beings can more consciously apply extensive knowledge and rich imagination and creativity to develop the science of planning, construction and management of urban environments. The city planning and designing work is finally implemented on material construction from the strategic research of the initial social and economic development, and a body-shaped environment for people to live and work is formed.

Economic elements, population elements, environmental elements and policy elements of a city constitute the comprehensive bearing capacity of the city. The comprehensive bearing capacity determines urban development positioning, urban functions, urban comprehensive competitiveness and urban sustainable development. The government is the main body of resource allocation, the planning management exercises the public authority 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, industrial structure proportion, public service facility distribution, the general direction of urban resource investment, urban resource allocation efficiency and the like from the aspects of planning layout, properties, scale, development intensity, policy guidance and the like, and further determines the progress, key direction, bearing capacity, balance degree, target accessibility and achievement conformity of the development target of the urban national economy and society.

The urban planning evaluation aims to guide reasonable and effective configuration of various urban functional lands and promote optimal configuration and coordinated development of urban resources. And auxiliary decision information is provided for the government to make the development strategy of the city, and the working efficiency, scientificity and decision level of planning management are further improved.

At present, a set of complete urban planning and evaluation system is established, and a brand-new urban planning and evaluation method is provided. By collecting, processing, analyzing and utilizing various data sources, quantitative evaluation indexes and corresponding evaluation systems are quickly formed, evaluation element calculation methods of various methods are provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and the evaluation results are quickly and accurately generated. The evaluation result has various forms, can show the characteristics of the evaluation result in the forms of characters, graphs, tables and the like, and can 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, and planning early warning is provided, so that a powerful basis is provided for fine management of urban planning, and the method has great significance for urban planning management.

Disclosure of Invention

The embodiment of the invention provides an analysis and evaluation method for urban planning implementation effect, which is a brand-new urban planning evaluation method for solving the technical problems and defects in the existing urban planning evaluation, establishing a set of complete urban planning evaluation system and providing a brand-new urban planning evaluation method. By collecting, processing, analyzing and utilizing various data sources, quantitative evaluation indexes and corresponding evaluation systems are quickly formed, evaluation element calculation methods of various methods are provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and the evaluation results are quickly and accurately generated. The evaluation result has various forms, can show the characteristics of the evaluation result in the forms of characters, graphs, tables and the like, and can 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, and planning early warning is provided, so that a powerful basis is provided for fine management of urban planning, and the method has great significance for urban planning management.

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

collecting data: the information related to urban planning evaluation is judged manually, and then required data is comprehensively collected through manual data collection and sorting and computer intelligent data import after the data related to urban planning and evaluation is judged; performing attribute sorting on the collected data to judge the category of the collected data, and sorting the data subjected to attribute judgment according to basic data, index data and evaluation data; and respectively storing the data types into an original database;

data preprocessing: respectively calling basic data, index data and evaluation data from an original database, carrying out standardized inspection on the basic data, carrying out format conversion, coordinate unification processing, graphic and attribute information standardization processing and data supplement calculation on the basic data which is unqualified in standardized inspection, obtaining the basic data in a standard format, and storing the basic data in the standard database together with the basic data which is qualified in inspection; standardizing the index data, setting the key words of the planning control index according to the planning property and the industry category, retrieving, searching and extracting the planning control index data, generating the control index data and storing the control index data in a standard database; specially filtering the evaluation data, classifying the evaluation data according to attribute types, screening the special evaluation data with different attribute types according to the requirements of the evaluation index data, removing redundant information, then carrying out fusion comparison on evaluation indexes, 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 incidence relation with the standard data, and establishing an index keyword database;

data storage: storing the preprocessed data into a designated database;

data demand analysis: the method comprises the steps of sorting demand information of users, and obtaining data demand information and index demand information required during evaluation according to a reverse analysis method by combining key element demands and related element demands of urban planning positioning analysis evaluation; respectively analyzing and sorting the data demand information and the index demand to generate a data demand list and an evaluation module demand list;

the evaluation module generates: judging whether the evaluation indexes in the evaluation requirement list exist in a standard database, if so, selecting, and if not, establishing new evaluation indexes; fusing the selected evaluation index and the newly established evaluation index to generate an evaluation module meeting the user requirement;

and (4) evaluation operation: corresponding basic data and index data are called from a standard database and input into an evaluation module for statistical calculation of evaluation related elements; setting weight parameters of corresponding evaluation indexes according to the evaluation data; analyzing and calculating the urban planning implementation effect according to the set weight parameters to generate an urban planning implementation effect evaluation result, and storing the urban planning implementation effect evaluation result in an evaluation result database;

and (3) achievement utilization: calling an urban planning implementation effect evaluation result from a database; classifying and sorting according to the relevant problems of the urban planning in the result to generate various planning early warning information; analyzing the urban planning implementation effect evaluation result in combination with urban planning related laws, professional knowledge and urban positioning to generate an urban planning suggestion; and carrying out special analysis on the urban planning implementation effect evaluation result to generate a special analysis result.

A city planning implementation effect analysis and evaluation method is disclosed, wherein the method further comprises the following steps: and (3) updating data: judging the effectiveness of data through manual judgment and computer intelligent search, carrying out manual data import and computer intelligent automatic collection import on real-time data, carrying out attribute sorting on the collected data to judge the belonged category, and carrying out classification sorting on the data subjected to attribute judgment according to basic data, index data and evaluation data; and 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 so, collecting the required data through manual data collection and sorting and computer intelligent data import; performing attribute sorting on the collected data to judge the category of the collected data, and sorting the data subjected to attribute judgment according to basic data, index data and evaluation data; and respectively stored in the original databases according to the data types.

The city planning implementation effect analysis and evaluation method comprises the following steps of:

data collection: the information related to city planning and evaluation is judged manually, and then the required data is comprehensively collected through manual data collection and sorting and computer intelligent data import;

data classification and arrangement: sorting the attributes of the collected data to judge the category of the collected data, and sorting the data subjected to attribute judgment according to basic data, index data and evaluation data;

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

and (4) classification and judgment: performing attribute sorting on the collected data; judging the attribute data with the attribute of geographic information, the attribute data of public thematic and the attribute data of space planning as basic data, judging the attribute data with the attribute of containing various control indexes as index data, and judging the attribute data with the attribute of containing various evaluation data as evaluation data;

sorting: classifying and sorting the data after attribute judgment, classifying the basic data according to historical data, current data and planning data, and then respectively carrying out spatial positioning attribute association; the index data is combed according to one or a combination of industry, year, region, administrative division and land class; the evaluation data is subjected to carding according to one or the combination of industries and professions.

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

standardized examination: carrying out standardized inspection on the basic data one by one according to a data format, a coordinate system, a spatial range, attribute information and information integrity, judging whether the data is qualified, storing the qualified data into a specified standard database, and storing the unqualified data under a specified path;

data classification processing: carrying out format conversion, coordinate unification processing and graphic and attribute information standardization processing on basic data which is unqualified in standardization check, carrying out space superposition, graphic data updating and attribute calculation on current data and planning data, obtaining basic data in a standard format and storing the basic data in a standard database; generating standard-conforming graphics and text information from the index data, setting the keywords of the planning control indexes according to the planning properties and the industry categories of the graphics and the text information, retrieving and searching the standard-conforming graphics and text information, extracting the planning control indexes according to types, 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 of different attribute categories; screening thematic evaluation data of different attribute categories according to the requirements of evaluation index data, removing redundant information, performing fusion comparison, deleting repeated evaluation index data, and generating evaluation index system data;

creating a standard database: the system comprises a standard database, a data processing module and a data processing module, wherein the standard database is used for storing basic data qualified in standardized inspection, processed basic data, control index data and evaluation index system data respectively;

abstract extraction: extracting standard basic data, evaluation data and index data from a standard database, and classifying according to administrative divisions, industries, current situations, plans and formats; classifying and segmenting the classified evaluation data and index data according to industries and regions, and mining and extracting keywords by adopting a keyword mining algorithm; sorting the extracted keywords according to the characteristics, high correlation and characteristics of the industry and establishing an incidence relation with standard data; and establishing an index keyword database for the sorted keywords.

and (3) basic data processing: carrying out format conversion, coordinate unification processing and graphic and attribute information standardization processing on basic data which is unqualified in standardization check, carrying out space superposition, graphic data updating and attribute calculation on current data and planning data, obtaining basic data in a standard format and storing the basic data in a standard database;

index data processing: extracting index data, and generating graph and text information which accord with the standard from the index data; setting a planning control index keyword according to planning properties and industry categories, and searching in standard graphics and text information; carrying out planning control index extraction on the data obtained by retrieval according to types; generating control index data for the extracted planning control index data;

and (4) 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 of different attribute categories; and screening the thematic evaluation data of different attribute categories according to the requirements of evaluation index data, removing redundant information, performing fusion comparison, deleting repeated evaluation index data, and generating evaluation index system data.

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

and (3) coordinate conversion: extracting data with inconsistent coordinates in basic data with unqualified standardized inspection for coordinate unification, extracting data with inconsistent coordinates in a basic database with a correct format for coordinate unification, and storing the data after coordinate unification into the basic database with consistent coordinates;

and (3) standardization treatment: extracting data with irregular graphs and attribute information in basic data with unqualified standardized inspection to perform graph and attribute information standardized processing, extracting data with irregular graphs and attribute information in basic data with consistent coordinates to perform graph and attribute information standardized processing, and storing the data after graph and attribute information standardized processing into a basic data intermediate library;

and (3) data supplement operation: and extracting the current data from the basic data intermediate library, performing space superposition, graphic data updating and attribute calculation on the current data and the planning data, obtaining basic data in a standard format, and storing the basic data in a standard database.

data superposition: extracting current data from a basic data intermediate library and carrying out spatial superposition on the current data and planning data;

and (3) updating the graphic data: the superposed data is combined with topographic map data, image data and field survey data for interpretation, and the graphic data is updated;

and (3) attribute information operation: 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;

respectively calculating the land area S of the land by using a graph area calculation formula according to the updated graph data boundary point coordinates_GroundThe floor area S of the building_{Account for}Green space area S_GreenWherein the graphic area calculation formula is as follows:

wherein S represents the area of the pattern, x_i、y_iCoordinates, x, representing the ith point on the graph boundary_i+1、y_i+1Represents the coordinates of the (i + 1) th point on the boundary of the graph, wherein i is greater than or equal to 0 and less than or equal to n-1, and x_n＝x₀ and y_n＝y₀；

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

S_{building (2)}＝S_{Account for}*C

S_{Building (2)}Represents the building area, S_{Account for}Represents the floor space of the building, and C represents the number of floors of the building;

calculating the volume ratio of the plots in the updated data by using a volume ratio calculation formula according to the building area information in the plots calculated by the updated data and the plot area information of the corresponding plots, wherein the volume ratio calculation formula is as follows:

r represents the volume fraction of the land, S_GroundArea of land, S, representing land_{Building assembly}Representing the total building area of the buildings in the land;

wherein

wherein S_{Building i}Represents the building area of the ith building in the utilization area, S_{Account for i}Represents the floor area of the ith building in the land, C_iIndicating the number of floors of the ith building in the land;

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

wherein M represents the building density of the plot of land, S_GroundArea of land, S, representing land_{Account for}Representing the total floor area of the buildings in the land;

wherein

wherein S_{Account for i}Representing the floor area of the ith building in the land;

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

wherein U represents a land utilization coefficient of a land plot, S_GroundArea of land, S, representing land_GreenRepresenting the area of the green land in the land;

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

wherein Q represents the greenfield rate of the plot, S_GreenShowing the green space area in the ground, S_GroundRepresenting the plot area of the land;

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

wherein

Mean number of layers, S, representing land area_{Building assembly}Represents the total building area, S, of the in-ground building_{Account for}Representing the total floor area of the buildings in the land;

wherein

S_{Building i}Represents the building area of the ith building in the utilization area, S_{Account for i}The floor area of the ith building in the user ground is shown.

and (3) data standardization treatment: extracting index data, and generating graph and text information which accord with the standard from the index data;

and (3) keyword retrieval: setting a planning control index keyword according to planning properties and industry categories, and searching in standard graphics and text information;

extracting control indexes: carrying out planning control index extraction on the data obtained by retrieval according to types;

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

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

filtering a special subject: carrying out evaluation thematic filtering on the collected evaluation data, and extracting thematic evaluation data related to evaluation indexes;

and (4) industry classification treatment: classifying the extracted thematic evaluation data according to attribute categories to generate thematic evaluation data of different attribute categories;

and (3) filtering the junk information: screening the thematic evaluation data of different attribute categories and eliminating redundant information according to the requirements of evaluation index data;

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

and (3) standard data extraction: extracting standard basic data, evaluation data and index data from a standard database, and storing the standard 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, plans and formats;

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

and (3) keyword mining: mining and extracting keywords by adopting a keyword mining algorithm on the classified and segmented evaluation data and index data;

and (3) keyword association sequencing: sorting the extracted keywords according to the characteristics, high correlation and characteristics of the industry and establishing an incidence relation with standard data;

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

user requirement input: sorting the demand information of the user and inputting the sorted demand information into a specified path;

and (3) related element analysis: the method comprises the steps of combining key element requirements and related element requirements of urban planning positioning analysis and evaluation with requirement information of a user according to a reverse analysis method to obtain data requirement information and index requirement information required during evaluation;

generating a data requirement: sorting and ordering the data demand information to generate a data demand list;

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

judging evaluation indexes: judging whether the evaluation indexes in the evaluation demand list exist in the standard database, if so, selecting corresponding evaluation indexes in the standard database according to the evaluation module demand list, and storing the evaluation indexes in the specified path; if the evaluation index does not exist, establishing an evaluation index;

newly establishing an evaluation index: establishing a new evaluation index according to the evaluation index required in the evaluation module demand list and the original evaluation data and storing the new evaluation index into the designated path;

merging evaluation indexes: selecting a corresponding evaluation index from the standard database and fusing the newly-established evaluation index to form an evaluation index meeting the user requirement;

a generation evaluation module: and storing the evaluation indexes meeting the user requirements to a 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: calling corresponding basic data and index data from a standard database according to the data demand information list, and inputting the called data into an evaluation module;

and (4) evaluating relevant element statistical calculation: carrying out statistical calculation on related elements according to the evaluation indexes in the evaluation module;

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

wherein: the current situation includes: the method comprises the following steps of respectively obtaining various current planning property land data and various current planning property building data through an operational formula, wherein the statistical calculation formula of the various current planning property land data is as follows:

representing the total plot area of the type j property at the time point of the t evaluation,

representing the area of the ith plot of land used at the t evaluation time point in the j-type land use property;

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

represents the total building area of the buildings in the property of the land of the j type at the time point of the t evaluation,

represents the building area of the ith building in the property of the land of the j type at the time point of the t evaluation,

represents the floor area of the ith building in the property of the land of the j type at the time point of the t evaluation,

the property of expressing j-type landThe number of floors of i buildings at the time point of t evaluation;

wherein the change condition calculation comprises: the land change conditions of various planning properties at different evaluation time points, and the building change conditions of various planning properties at different evaluation time points;

the formula for calculating the land change conditions of various planning properties of the current situation at different evaluation time points is as follows:

representing the amount of change in the land property area for the j-type land,

representing the total plot area of the j-type land property when the benchmark year is evaluated;

the calculation formula of the building change conditions of various planning properties at different evaluation time points is as follows:

represents the amount of change in the building area of the building in the property of the kind j land,

represents the total building area of the building at the time point of the evaluation of the j-type land property at t,

indicating the nature of the land of the j-typeTotal building area of the building;

wherein the developing the intensity data comprises: volume fraction, building density, average land utilization coefficient;

respectively calculating the volume rate, the building density and the average land utilization coefficient of the land blocks with different land properties according to the retrieved basic data, index data utilization volume rate calculation formula, building density calculation formula and average land utilization coefficient calculation formula, wherein the volume rate calculation formula is as follows:

volume rate of right-of-way at the time point of t evaluation representing the nature of right-of-way,

total plot area of right-of-way at the time point of t evaluation representing the nature of the type j right-of-way,

representing the total building area of the buildings in the property land for the j-type land at the time point of the t evaluation;

the calculation formula of the building density is as follows:

wherein

Representing the building density of the property land of the j-type land at the time point of the t evaluation,

representing the total occupied area of the buildings in the property land for the j-type land at the time point of the t evaluation;

wherein

wherein

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

the average land utilization coefficient calculation formula is as follows:

wherein

Represents the average land use coefficient, U, at the time of the evaluation t_j(t)The land utilization coefficient of the land used for expressing the j-type land property at the time point of t evaluation, and n expresses the number of the land property;

wherein the index execution condition comprises: the method comprises the following steps of (1) executing a town construction land index, executing a total scale index of a town land, executing a cultivated land reserve index and executing a per capita town construction land index;

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

ω (t) represents the index execution at the time of t evaluation, τ₀Representing a standard value of a planning index;

wherein the homo-situation system comprises: the method comprises the following steps of (1) acquiring a per-capita town construction land index, a per-capita living land area index, a per-capita living building area index, a per-capita public facility land area index, a per-capita green land area index and a per-capita public green land area index;

respectively calculating the average-person condition of each index by utilizing an average-person condition calculation formula according to the called basic data and index data, wherein the average-person condition calculation formula is as follows:

α (t) represents the human-average condition at the time of t evaluation, delta (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 comprises: living balance, public facility balance, industrial balance, greenbelt balance, population density balance and sports land balance;

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

psi (t) represents the index equilibrium at the time of t evaluation, τ (t) represents the index condition at the time of t evaluation, τ₀Representing a standard value of a planning index;

wherein t represents the evaluation time point corresponding to the evaluation, j represents the planning property, wherein the planning property can represent any one or combination of residential land, public management and public service land, commercial service industry facility land, industrial land, logistics storage land, road and transportation facility land, public facility land, green land and square land and non-construction land;

wherein the inventory conditions include: planning the current state of the permission stock, the control stock, the total stock, the planning property land area stock and the planning property building area stock;

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

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

the second method comprises the following steps: the population calculation formula in the planning period is calculated by utilizing the population growth rate and the planning saturation year population as follows:

wherein P (t) is the population at the tth evaluation time point, t₀Denotes the initial evaluation time point, P₀For the population at the initial evaluation time point, P_mThe population number of the saturation year, r is the population growth rate, and t represents the corresponding evaluation time point;

the third method comprises the following steps: the method for calculating the population data by using the signaling data specifically comprises the following steps: calling original signaling data and carrying out data preprocessing, data segmentation and field filtering; performing data superposition on the basic data and the filtered data, performing data analysis after mapping association, and obtaining the regional population data condition;

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

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

the evaluation operation is sequentially operated through three levels of element indexes, basic indexes and comprehensive indexes, wherein the element indexes are divided into an implementation degree, a deviation degree and a mixed deviation rate in a calculation mode;

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

f_jthe calculation value of the element index is represented, and when the calculation result is more than 100, the value of the index value is 100; l (t) represents an evaluation time point specific value, L₀Planning targetA quasi value;

l can represent the total regional production value, the total per capita regional production value, the GDP proportion of the third industry, the industrial industry density, the proportion of non-agricultural added value, the investment of social fixed assets, the dominable income of urban residents, the pure income of rural residents, the urbanization rate, the forest coverage rate, the greenbelt rate of a built area, the public greenbelt of urban residents, the integrity of ecological redline protection, the sewage treatment rate, the excellent daily ratio of annual air quality, the proportion of completed construction projects, the average efficiency among main land property planning permission stages, the coverage rate of control regulations, the foundation facility compactness and the public service facility compactness;

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

f_jindicating the calculated value of the element index, D (t) indicating the specific value of the evaluation time point, D₀Planning a standard value;

d can represent the population of the permanent population, the population of the town, the population density, the coverage rate of the primary and the middle schools, the average land utilization coefficient and the industrial volume rate;

calculating element indexes according to the obtained basic data and index data and a calculation formula of the mixed deviation ratio, wherein the calculation formula of the mixed deviation ratio is as follows:

f_jindicating the element index calculation score; h (t) represents a specific value at the evaluation time, H₀And planning a standard value.

H can represent the area of urban per capita public facilities, the area of urban per capita residential land, the area of urban per capita residential buildings, the area of urban per capita sports land, the proportion of the scale of urban construction land to the planning scale and the area of the urban construction land;

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

F_ia score representing the i index; f_ijThe score of the i index j index is represented; w_ijThe weight value of the i index j index relative to the i target is represented; n represents the number of indexes;

and 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 a planning evaluation comprehensive score; f_iRepresents i the target score; w_iA weight value representing the target of i; n represents the number of evaluation targets;

and (3) generating an evaluation result: and generating an evaluation result of the implementation effect of the city planning according to the evaluation analysis operation result, and storing the evaluation result in an evaluation result database.

A city planning implementation effect analysis and evaluation method is disclosed, wherein the population data calculation method III comprises the following steps:

inputting original data: calling original signaling data from a standard database;

data preprocessing: carrying out data preprocessing on the called original signaling data;

and field filtering: carrying out data segmentation and field filtering on the preprocessed signaling data;

basic data superposition: performing data superposition and mapping association on the basic data and the filtered data;

and (3) data analysis: and carrying out data analysis on the data after the mapping association to obtain the regional population data condition.

retrieval of evaluation results: calling an urban planning implementation effect evaluation result from a database;

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

and (3) generating a city planning suggestion: analyzing the urban planning implementation effect evaluation result in combination with urban planning related laws, professional knowledge and urban positioning to generate an urban planning suggestion;

special analysis: and carrying out 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 comprises the following specific steps of manual data collection and sorting: collecting data by social investigation and field collection, and collating the collected data with original data; the computer intelligent data importing steps are as follows: after obtaining relevant data by keywords, intelligently performing data investigation and then searching through the Internet; the data effectiveness is judged: the judgment can be carried out according to the days, months, seasons and years; the categories of the collected data include: basic data, index data and evaluation data; the basic data includes: the system comprises geographic national condition general survey data, construction land data, engineering land condition data, image data, topographic map data, house data, land data, planning control data, various statistical yearbook data, general survey data, planning permission data, approved land data, completion acceptance data and overall planning data; the index data includes: national economic bulletin data, social development bulletin data, government work report data, government planning outline data, city positioning index data, public special subject index data and local professional guidance files; the evaluation data includes: the system comprises national, ministration and local related laws, regulations and standard data, analysis and evaluation normative documents, 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 the GIS format, and converting the GIS format into the CAD format; the coordinate unification process includes: converting the coordinate system and unifying the scale factors; the graphic and attribute information standardization processing comprises the following steps: merging, cutting and replacing the graphs, merging and deleting the attribute information; the attribute calculation includes: the land area of land, the occupied area of buildings, the building area of buildings, the volume ratio, the building density, the green land ratio, the land utilization coefficient and the average number of layers of buildings; the types of the control index extraction comprise; extracting according to land use indexes of different areas, various planning properties, land area and quantitative indexes at the end of a planning period; the control index data includes: a restriction map, restriction index data, guidance data; the attribute categories include: social, economic, humanistic, historical, geographic; the evaluation index includes: comprehensive index, basic index and element index. Wherein the basic index includes: economic indicators, social and humanistic indicators, resource ecological indicators, planning and performance indicators; wherein the element index includes: a regional economic production total index, a per capita production total index, a GDP proportion index of third industry, an industrial industry density index, a non-agricultural added value proportion index, a social fixed asset investment index, a town resident average domination income index, a town resident average pure income index, a permanent population index, a town population index, a township rate index, a population density index, a town average public facility land area index, a town average living building area index, a town average living land area index, a middle and primary school coverage rate index, a scale proportion index of town construction land to planning scale, a per capita town construction land index, an average land utilization coefficient, an industrial volume rate index, a forest coverage rate index, a green land rate index of a built-up area, a town average public green land index, Ecological red line protection integrity index, sewage treatment rate index, annual air quality good day ratio index, proportion index of the number of completed construction projects of construction projects, average efficiency index between main geological planning permission stages, control coverage index, infrastructure compactness index and public service facility compactness index; the evaluating the related element statistical calculation further comprises: carrying out statistical calculation and current environmental condition statistical calculation on the engineering ground condition data; 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 comprises different regional population data and different regional population density data; the evaluation result of the urban planning implementation effect is divided into different evaluation time points, and the evaluation time points can be divided according to seasons and years; the evaluation result of the urban planning implementation effect comprises the following steps: the method comprises the following steps of (1) reporting the current situation of urban planning, comparing and analyzing the urban planning, reporting the future prediction of the urban planning, reporting the related problems of the urban planning and evaluating the implementation effect of the urban planning; the output form of the report is as follows: presented by a single presentation or a combination of text, forms, graphics, audio, video; the special analysis comprises: the method comprises the following steps of analysis of civil service, analysis of economic development, analysis of urban population distribution, analysis of traffic road conditions, analysis of crowd traveling routes, analysis of crowd migration, analysis of urban space form evolution, analysis of urban road traffic planning, analysis of urban construction land evolution, analysis of urban different-azimuth extension strength, analysis of regional development conditions, analysis of urban special topics, analysis of job panorama, analysis of regional environment and analysis of geological conditions.

It can be seen from this that:

the city planning implementation effect analysis and evaluation method in the embodiment of the invention comprises the following steps: the method solves the technical problems and defects in the existing urban planning evaluation, establishes a set of complete urban planning evaluation system, and provides a brand-new urban planning evaluation method. By collecting, processing, analyzing and utilizing various data sources, quantitative evaluation indexes and corresponding evaluation systems are quickly formed, evaluation element calculation methods of various methods are provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and the evaluation results are quickly and accurately generated. The evaluation result has various forms, can show the characteristics of the evaluation result in the forms of characters, graphs, tables and the like, and can 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, and planning early warning is provided, so that a powerful basis is provided for fine management of urban planning, and the method has great significance for urban planning management.

Drawings

Fig. 1 is one of the overall flow diagrams of the city planning implementation effect analysis and evaluation method according to the embodiment of the present invention;

fig. 2 is a second schematic overall flow chart of the method for analyzing and evaluating the urban planning implementation effect according to the embodiment of the present invention;

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

fig. 4 is a schematic flow chart illustrating a data sorting step in the method for analyzing and evaluating the urban planning implementation effect according to the embodiment of the present invention;

fig. 5 is a schematic flow chart illustrating a data preprocessing step in the method for analyzing and evaluating the implementation effect of city planning according to the embodiment of the present invention;

fig. 6 is a schematic flow chart illustrating data classification processing steps in the method for analyzing and evaluating the urban planning implementation effect according to the embodiment of the present invention;

fig. 7 is a schematic flowchart of a basic data processing step in the method for analyzing and evaluating the urban planning implementation effect according to the embodiment of the present invention;

fig. 8 is a schematic flow chart illustrating a data supplement operation step in the method for analyzing and evaluating the urban planning implementation effect according to the embodiment of the present invention;

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

fig. 10 is a schematic flowchart of processing steps of evaluation data in the city planning implementation effect analysis and evaluation method according to the embodiment of the present invention;

fig. 11 is a schematic flow chart illustrating a digest extraction step in the method for analyzing and evaluating the urban planning implementation effect according to the embodiment of the present invention;

fig. 12 is a schematic flow chart illustrating a data requirement analysis step in the method for analyzing and evaluating the implementation effect of city planning according to the embodiment of the present invention;

fig. 13 is a schematic flow chart illustrating a generation step of an evaluation module in the analysis and evaluation method for urban planning implementation effect according to the embodiment of the present invention;

fig. 14 is a schematic flow chart illustrating evaluation operation steps in the method for analyzing and evaluating the implementation effect of urban planning according to the embodiment of the present invention;

fig. 15 is a schematic flowchart of a population data calculation step in the city planning implementation effect analysis and evaluation method according to an embodiment of the present invention;

fig. 16 is a schematic flow chart illustrating a result utilization step in the method for analyzing and evaluating the implementation effect of city planning according to the embodiment of the present invention.

Detailed Description

In order that those skilled in the art will better understand the technical solution of the present invention, the present invention will be described in detail with reference to the accompanying drawings and specific embodiments, wherein the exemplary embodiments and the description of the present invention are provided to explain the present invention, but not to limit the present invention.

Example 1:

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

data storage: storing the preprocessed data into a designated database;

As shown in fig. 2, the method for analyzing and evaluating the implementation effect of city planning further includes: and (3) updating data: judging the effectiveness of data through manual judgment and computer intelligent search, carrying out manual data import and computer intelligent automatic collection import on real-time data, carrying out attribute sorting on the collected data to judge the belonged category, and carrying out classification sorting on the data subjected to attribute judgment according to basic data, index data and evaluation data; and 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 the required data does not exist, comprehensively searching the required data through manual data searching and sorting and computer intelligent data importing; performing attribute sorting on the collected data to judge the category of the collected data, and sorting the data subjected to attribute judgment according to basic data, index data and evaluation data; and respectively stored in the original databases according to the data types.

As shown in fig. 3, the method for analyzing and evaluating the effect of urban planning implementation includes the following steps:

As shown in fig. 4, the method for analyzing and evaluating the effect of urban planning implementation includes the following steps:

As shown in fig. 5, the method for analyzing and evaluating the implementation effect of urban planning includes the following steps:

As shown in fig. 6, the method for analyzing and evaluating the effect of urban planning implementation includes the following steps:

As shown in fig. 7, the method for analyzing and evaluating the implementation effect of urban planning includes the following steps:

As shown in fig. 8, the method for analyzing and evaluating the implementation effect of urban planning includes the following steps:

S_{building (2)}＝S_{Account for}*C

wherein

wherein

wherein

wherein

As shown in fig. 9, the method for analyzing and evaluating the implementation effect of urban planning includes the following steps:

As shown in fig. 10, the method for analyzing and evaluating the effect of urban planning implementation includes the following steps:

As shown in fig. 11, the method for analyzing and evaluating the implementation effect of urban planning includes the following steps:

As shown in fig. 12, the method for analyzing and evaluating the implementation effect of urban planning includes the following steps:

As shown in fig. 13, the method for analyzing and evaluating the implementation effect of urban planning, where the evaluation module includes the following steps:

As shown in fig. 14, the method for analyzing and evaluating the implementation effect of urban planning includes the following steps:

evaluating the ith plot right at t in the property of representing the j plot rightPlot area at time point:

representing the number of layers of the ith building in the property of the land of the j type at the time point of the t evaluation;

to express the nature of the land of j classt total plot area at the evaluation time point,

the calculation formula of the building change conditions of various planning properties of the current situation at the evaluation time points in different years is as follows:

representing the total building area of the building when the property of the land of the j type is evaluated in a benchmark year;

the calculation formula of the building density is as follows:

wherein

wherein

wherein

wherein

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

setting parameters: setting weight parameters of corresponding evaluation indexes by using a hierarchical analysis method according to the evaluation data and combining regional characteristics, social investigation and expert advice;

f_jthe calculation value of the element index is represented, and when the calculation result is more than 100, the value of the index value is 100; l (t) represents an evaluation time point specific value, L₀Planning a standard value;

f represents a planning evaluation comprehensive score; f_iRepresents i the target score;W_ia weight value representing the target of i; n represents the number of evaluation targets;

As shown in fig. 15, the method for analyzing and evaluating the effectiveness of urban planning implementation includes the following steps:

As shown in fig. 16, the method for analyzing and evaluating the implementation effect of urban planning includes 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 collating the collected data with original data.

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

In the specific embodiment: the effectiveness of the data can be judged according to days, months, seasons and years.

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

In the specific embodiment: the basic data includes: the system comprises geographic national condition general survey data, construction land data, engineering land condition data, image data, topographic map data, house data, land data, planning control data, various statistical yearbook data, general survey data, planning permission data, approved land data, completion acceptance data and overall planning data.

In the specific embodiment: the index data includes: national economic bulletin data, social development bulletin data, government work report data, government planning outline data, city positioning index data, public special subject index data and local professional guidance files.

In the specific embodiment: the evaluation data includes: the system comprises national, ministration, local related laws, regulations and standard data, analysis and evaluation normative documents, research result data and 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 the GIS format, and the GIS format is converted into the CAD format.

In the specific embodiment: the coordinate unification process includes: and converting the coordinate system and unifying the scale factors.

In the specific embodiment: the graphic and attribute information standardization processing comprises the following steps: and processing the merging, cutting and replacing of the graphs, and the merging and deleting of the attribute information.

In the specific embodiment: the attribute calculation includes: the land area of land, the building floor area, the building area of the building, the volume ratio, the building density, the green space ratio, the land utilization coefficient and the average number of layers of the building.

In the specific embodiment: the types of the control index extraction comprise; and extracting according to land use indexes of different areas, various planning properties, land area and quantitative indexes at the end of a planning period.

In the specific embodiment: the control index data includes: a restriction map, restriction index data, and guidance data.

In the specific embodiment: the attribute categories include: social, economic, humanistic, historical, geographic.

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

In the specific embodiment: the basic indexes include: economic indicators, social and humanistic indicators, resource ecological indicators, planning and performance indicators; .

In the specific embodiment: the element index includes: a regional economic production total index, a per capita production total index, a GDP proportion index of third industry, an industrial industry density index, a non-agricultural added value proportion index, a social fixed asset investment index, a town resident average domination income index, a town resident average pure income index, a permanent population index, a town population index, a township rate index, a population density index, a town average public facility land area index, a town average living building area index, a town average living land area index, a middle and primary school coverage rate index, a scale proportion index of town construction land to planning scale, a per capita town construction land index, an average land utilization coefficient, an industrial volume rate index, a forest coverage rate index, a green land rate index of a built-up area, a town average public green land index, The ecological red line protection integrity index, the sewage treatment rate index, the annual air quality good day ratio index, the proportion index of the number of completed construction projects of the construction projects, the average efficiency index between main geological planning permission stages, the control coverage rate index, the infrastructure compactness index and the public service facility compactness index.

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

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

In the specific embodiment: the evaluation result of the urban planning implementation effect is divided into different evaluation time points, and the evaluation time points can be divided according to seasons and years.

In the specific embodiment: the evaluation result of the urban planning implementation effect comprises the following steps: the method comprises the following steps of urban planning current situation report, urban planning comparative analysis report, urban planning future prediction report, urban planning related problem report and urban planning implementation effect evaluation level.

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

In the specific embodiment: the special analysis comprises: the method comprises the following steps of analysis of civil service, analysis of economic development, analysis of urban population distribution, analysis of traffic road conditions, analysis of crowd traveling routes, analysis of crowd migration, analysis of urban space form evolution, analysis of urban road traffic planning, analysis of urban construction land evolution, analysis of urban different-azimuth extension strength, analysis of regional development conditions, analysis of urban special topics, analysis of job panorama, analysis of regional environment and analysis of geological conditions.

Example 2:

fig. 2 is a schematic flow chart of the method for analyzing and evaluating the implementation effect of the urban planning, and as shown in fig. 2, the method for analyzing and evaluating the implementation effect of the urban planning includes the following steps:

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

and (3) updating data: judging the effectiveness of data through manual judgment and computer intelligent search, carrying out manual data import and computer intelligent automatic collection import on real-time data, carrying out attribute sorting on the collected data to judge the belonged category, and carrying out classification sorting on the data subjected to attribute judgment according to basic data, index data and evaluation data; and 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 the required data does not exist, comprehensively searching the required data through manual data searching and sorting and computer intelligent data importing; performing attribute sorting on the collected data to judge the category of the collected data, and sorting the data subjected to attribute judgment according to basic data, index data and evaluation data; and respectively storing the data types into an original database;

data storage: storing the preprocessed data into a designated database;

S_{building (2)}＝S_{Account for}*C

wherein

wherein

wherein

wherein

the calculation formula of the building density is as follows:

wherein

wherein

wherein

the average land utilization coefficient calculation formula is as follows:

wherein

As shown in fig. 15, the third population data calculation method includes the following steps:

Example 3:

data storage: storing the preprocessed data into a designated database;

S_{building (2)}＝S_{Account for}*C

wherein

wherein

wherein

wherein

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

the basic indexes include: economic indicators, social and humanistic indicators, resource ecological indicators, planning and performance indicators;

the element indexes include: a regional economic production total index, a per capita production total index, a GDP proportion index of third industry, an industrial industry density index, a non-agricultural added value proportion index, a social fixed asset investment index, a town resident average domination income index, a town resident average pure income index, a permanent population index, a town population index, a township rate index, a population density index, a town average public facility land area index, a town average living building area index, a town average living land area index, a middle and primary school coverage rate index, a scale proportion index of town construction land to planning scale, a per capita town construction land index, an average land utilization coefficient, an industrial volume rate index, a forest coverage rate index, a green land rate index of a built-up area, a town average public green land index, The ecological red line protection integrity index, the sewage treatment rate index, the annual air quality good day ratio index, the proportion index of the number of completed construction projects of the construction projects, the average efficiency index between main geological planning permission stages, the control coverage rate index, the infrastructure compactness index and the public service facility compactness index.

The evaluation module which is generated by dividing the index levels by adopting the analytic hierarchy process is as follows:

representing the area of the ith plot at the t evaluation time point of the plot in the j-type plot property:

the calculation formula of the building density is as follows:

wherein

wherein

wherein

wherein

the results of the weight setting of the corresponding index parameters in the city planning effect evaluation analysis are shown in the following table

The evaluation result of the implementation effect of the city planning comprises the following steps: the method comprises the following steps of urban planning current situation report, urban planning comparative analysis report, urban planning future prediction report, urban planning related problem report and urban planning implementation effect evaluation level.

The evaluation grade of the implementation effect of the urban planning can be judged according to the comprehensive evaluation value of the urban planning, and 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, the urban planning implementation effect is judged to be good;

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

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

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

Wherein the special analysis comprises: the method comprises the following steps of analysis of civil service, analysis of economic development, analysis of urban population distribution, analysis of traffic road conditions, analysis of crowd traveling routes, analysis of crowd migration, analysis of urban space form evolution, analysis of urban road traffic planning, analysis of urban construction land evolution, analysis of urban different-azimuth extension strength, analysis of regional development conditions, analysis of urban special topics, analysis of job panorama, analysis of regional environment and analysis of geological conditions.

In the specific embodiment: and the related elements are calculated according to the evaluation time point of the user requirement, and the specified evaluation time point is set as the current situation.

It can be seen from this that: 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 in the existing urban planning evaluation, a set of complete urban planning evaluation system is established, and a brand-new urban planning evaluation method is provided. By collecting, processing, analyzing and utilizing various data sources, quantitative evaluation indexes and corresponding evaluation systems are quickly formed, evaluation element calculation methods of various methods are provided, various data can be loaded into an evaluation module, quantitative evaluation results are obtained, and the evaluation results are quickly and accurately generated. The evaluation result has various forms, can show the characteristics of the evaluation result in the forms of characters, graphs, tables and the like, and can 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, and planning early warning is provided, so that a powerful basis is provided for fine management of urban planning, and the method has great significance for urban planning management.

While the embodiments of the present invention have been described by way of example, those skilled in the art will appreciate that there are numerous variations and permutations of the present invention without departing from the spirit of the invention, and it is intended that the appended claims cover such variations and modifications as fall within the true spirit of the invention.

Claims

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

data storage: storing the preprocessed data into a designated database;

2. The city planning implementation effectiveness analysis and evaluation method according to claim 1, further comprising: and (3) updating data: judging the effectiveness of data through manual judgment and computer intelligent search, carrying out manual data import and computer intelligent automatic collection import on real-time data, carrying out attribute sorting on the collected data to judge the belonged category, and carrying out classification sorting on the data subjected to attribute judgment according to basic data, index data and evaluation data; and 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 the required data does not exist, comprehensively searching the required data through manual data searching and sorting and computer intelligent data importing; performing attribute sorting on the collected data to judge the category of the collected data, and sorting the data subjected to attribute judgment according to basic data, index data and evaluation data; and respectively stored in the original databases according to the data types.

3. The city planning implementation effectiveness analysis and evaluation method according to claim 1, wherein the data collection comprises the following steps:

4. The city planning implementation effect analysis and evaluation method according to claims 1 and 3, wherein the data classification and sorting comprises the following steps:

5. The city planning implementation effect analysis and evaluation method according to claim 1, wherein: the data preprocessing comprises the following steps:

6. The city planning implementation effect analysis and evaluation method according to claims 1 and 5, wherein the method comprises the following steps: the data classification processing comprises the following steps:

7. The city planning implementation effect analysis and evaluation method according to claims 1, 5 and 6, wherein the basic data processing comprises the following steps:

8. The city planning implementation effect analysis and evaluation method according to claims 1, 5, 6 and 7, wherein the data supplement operation comprises the following steps:

S_{building (2)}＝S_{Account for}*C

wherein

wherein

wherein

wherein

9. The city planning implementation effect analysis and evaluation method according to claims 1, 5 and 6, wherein the index data processing comprises the following steps:

10. The city planning implementation effect analysis and evaluation method according to claims 1, 5 and 6, wherein the evaluation data processing comprises the following steps:

11. The city planning implementation effect analysis and evaluation method according to claims 1 and 5, wherein the abstract extraction comprises the following steps:

12. The city planning implementation effect analysis and evaluation method according to claim 1, wherein the data demand analysis comprises the following steps:

13. The city planning implementation effect analysis and evaluation method according to claim 1, wherein the evaluation module generates the evaluation result including the steps of:

14. The city planning implementation effect analysis and evaluation method according to claim 1, wherein the evaluation operation comprises the following steps:

the calculation formula of the building density is as follows:

wherein

wherein

wherein

the average land utilization coefficient calculation formula is as follows:

wherein

psi (t) represents the index equilibrium at the time of t evaluation, τ (t) represents the index condition at the time of t evaluation, τ₀Indicating gaugeMarking an index standard value;

15. The city planning implementation effectiveness analysis and evaluation method according to claims 1 and 14, wherein the population data calculation method three comprises the following steps:

16. The city planning implementation effectiveness analysis and evaluation method according to claim 1, wherein the achievement utilization comprises the following steps:

17. The city planning implementation effectiveness analysis and evaluation method according to claims 1-16, wherein: the specific steps of the manual data collection and arrangement are as follows: collecting data by social investigation and field collection, and collating the collected data with original data; the computer intelligent data importing steps are as follows: after obtaining relevant data by keywords, intelligently performing data investigation and then searching through the Internet; the data effectiveness is judged: the judgment can be carried out according to the days, months, seasons and years; the categories of the collected data include: basic data, index data and evaluation data; the basic data includes: the system comprises geographic national condition general survey data, construction land data, engineering land condition data, image data, topographic map data, house data, land data, planning control data, various statistical yearbook data, general survey data, planning permission data, approved land data, completion acceptance data and overall planning data; the index data includes: national economic bulletin data, social development bulletin data, government work report data, government planning outline data, city positioning index data, public special subject index data and local professional guidance files; the evaluation data includes: the system comprises national, ministration and local related laws, regulations and standard data, analysis and evaluation normative documents, 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 the GIS format, and converting the GIS format into the CAD format; the coordinate unification process includes: converting the coordinate system and unifying the scale factors; the graphic and attribute information standardization processing comprises the following steps: merging, cutting and replacing the graphs, merging and deleting the attribute information; the attribute calculation includes: the land area of land, the occupied area of buildings, the building area of buildings, the volume ratio, the building density, the green land ratio, the land utilization coefficient and the average number of layers of buildings; the types of the control index extraction comprise; extracting according to land use indexes of different areas, various planning properties, land area and quantitative indexes at the end of a planning period; the control index data includes: a restriction map, restriction index data, guidance data; the attribute categories include: social, economic, humanistic, historical, geographic; the evaluation index includes: comprehensive index, basic index and element index. Wherein the basic index includes: economic indicators, social and humanistic indicators, resource ecological indicators, planning and performance indicators; wherein the element index includes: a regional economic production total index, a per capita production total index, a GDP proportion index of third industry, an industrial industry density index, a non-agricultural added value proportion index, a social fixed asset investment index, a town resident average domination income index, a town resident average pure income index, a permanent population index, a town population index, a township rate index, a population density index, a town average public facility land area index, a town average living building area index, a town average living land area index, a middle and primary school coverage rate index, a scale proportion index of town construction land to planning scale, a per capita town construction land index, an average land utilization coefficient, an industrial volume rate index, a forest coverage rate index, a green land rate index of a built-up area, a town average public green land index, Ecological red line protection integrity index, sewage treatment rate index, annual air quality good day ratio index, proportion index of the number of completed construction projects of construction projects, average efficiency index between main geological planning permission stages, control coverage index, infrastructure compactness index and public service facility compactness index; the evaluating the related element statistical calculation further comprises: carrying out statistical calculation and current environmental condition statistical calculation on the engineering ground condition data; 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 comprises different regional population data and different regional population density data; the evaluation result of the urban planning implementation effect is divided into different evaluation time points, and the evaluation time points can be divided according to seasons and years; the evaluation result of the urban planning implementation effect comprises the following steps: the method comprises the following steps of (1) reporting the current situation of urban planning, comparing and analyzing the urban planning, reporting the future prediction of the urban planning, reporting the related problems of the urban planning and evaluating the implementation effect of the urban planning; the output form of the report is as follows: presented by a single presentation or a combination of text, forms, graphics, audio, video; the special analysis comprises: the method comprises the following steps of analysis of civil service, analysis of economic development, analysis of urban population distribution, analysis of traffic road conditions, analysis of crowd traveling routes, analysis of crowd migration, analysis of urban space form evolution, analysis of urban road traffic planning, analysis of urban construction land evolution, analysis of urban different-azimuth extension strength, analysis of regional development conditions, analysis of urban special topics, analysis of job panorama, analysis of regional environment and analysis of geological conditions.