A method for evaluating urban agglomeration coordination relationship based on public policy information

Abstract

The application discloses a kind of based on public policy information evaluation city group coordination relationship's method, it is related to urban planning data analysis technical field, step S1 obtains the data text of coordinated development policy from network;Step S2 establishes administrative hierarchy category, policy subject topological relationship category and policy theme category, key attribute is coded, forms city group coordinated development policy information base;Step S3 determines the geographical space coordinate of city, and gives city group coordinated development policy information base assignment;New field is established to refer to the coordinate of two cities that there is coordination relationship between each other, forms OD matrix file;Step S4 creates geographical space database, and OD matrix file is imported to geographical space database;Step S5 generates linear model file using XY to Line tool;Step S6 utilizes natural breakpoint grading method and divides into several levels coordination relationship intensity R, forms city group coordination relationship network diagram.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of urban planning data analysis, in particular to a method for evaluating the coordination relationship of urban agglomerations based on public policy information, which can quantitatively measure the coordination relationship of cities and map it in space. BACKGROUND

[0002] The coordination relationship of urban agglomerations refers to the linkage relationship between cities within an urban agglomeration, in which the costs are shared and the benefits are shared, and the development and governance issues of the urban agglomeration are coordinated, such as infrastructure layout, industrial division and cooperation, public service sharing, ecological construction, and environmental governance. At present, the measurement of the coordination relationship of urban agglomerations is mainly through the construction of a comprehensive index system covering, for example, industry, economy, society, system, and environment, the use of analytic hierarchy process, weighted average method, comprehensive evaluation method, and entropy weight method to determine the index weight, and the combination of relevant measurement models, such as the gravity model and the economic linkage strength model, to modify the comprehensive index system, and finally evaluate the coordination relationship of urban agglomerations.

[0003] The existing evaluation methods: First, from the technical method, due to the lack of data that can directly indicate the coordination relationship of urban agglomerations, the coordination relationship is often evaluated indirectly by establishing certain index systems, and the selection of indicators and the calculation of weight coefficients are both subjective to a certain extent; second, from the data source, the evaluation is often based on big data, on the one hand, the crawling of big data is usually completed by computer professionals and economists, and there is a gap between urban planning professionals, on the other hand, the big data crawled must be cleaned twice or even multiple times, but the data cleaning method of artificial intelligence will still result in a certain proportion of invalid data remaining, when the data sample size is large, these invalid data will affect the authenticity and objectivity of the evaluation results to a certain extent; finally, the coordination relationship between cities changes in real time and dynamically, and the existing evaluation methods use static data at a specific time node, which is difficult to track and reflect the dynamic changes. SUMMARY

[0004] In order to overcome the above-mentioned deficiencies, the present application provides a method for evaluating the coordination relationship of urban agglomerations based on public policy information, which objectively presents the coordination relationship of urban agglomerations through quantitative measurement and visualization of public policy.

[0005] The first aspect of the present application provides a method for identifying and encoding key attributes based on public policy information data, which comprises: using a computer device to obtain coordination development policy data text from relevant government websites and internet media information platforms, establishing an administrative level category of policy document publishing subjects, a policy subject topological relationship category, and a policy theme category, encoding the key attributes of the policy samples, and forming an urban agglomeration coordination development policy information library.

[0006] Optionally, the urban coordinated development policy information base comprises a one-way relationship coordinated development policy sub-information base, a bilateral relationship coordinated development policy sub-information base, a multilateral relationship coordinated development policy sub-information base, a master-slave relationship coordinated development policy sub-information base, and a coordinated development policy sub-information base of each city in the urban agglomeration.

[0007] The second aspect of the present application provides a method for constructing a policy correlation matrix of urban agglomeration coordination relationship. The method first determines the urban geographical space coordinates Point X (Point X1, Point X2, …, Point X n ) and Point Y (Point Y1, Point Y2, …, Point Y n ) according to the spatial position of the geographical center of the city, and assigns them to the urban agglomeration coordinated development policy information base and each sub-information base. i i i i j j j j i j ij， The OD matrix file is a policy correlation matrix of urban agglomeration coordination relationship.

[0008] Optionally, the coordination relationship strength R can be further divided into four categories for separate statistics according to the subject relationship, or can be separately counted according to the subject relationship and the specific combination of cities.

[0009] ​​​​​​​​​​The third aspect of the present application provides a method for mapping and visualizing the policy correlation matrix of the urban agglomeration coordination relationship to space by using ArcGIS software, which first creates a geographic spatial database in the ArcGIS software, imports the OD matrix file into the geographic spatial database, selects the XY to Line tool in the ArcToolbox, sets the command to make the corresponding parameters meet: Start X Field=Start-X, Start Y Field=Start-Y, End X Field=End-X, End Y Field=End-Y, Line Type=GEODESIC, ID=R, thereby generating a linear model file for mapping the policy correlation matrix of the urban agglomeration coordination relationship to space, realizing preliminary visualization, and using the natural breakpoint grading method in the ArcGIS software to divide the coordination relationship strength R into several levels, setting the corresponding symbols and label properties of each level, further visualizing, and finally forming an urban agglomeration coordination relationship network graph representing the contact strength of various types of subject policies.

[0010] Optionally, according to the detailed classification of the policy correlation matrix of the urban agglomeration coordination relationship, the coordination relationship strength of a selected target object city or multiple target object cities and other cities can be compared and analyzed, and the urban agglomeration coordination mechanism can be further analyzed.

[0011] The above-mentioned method for evaluating the urban agglomeration coordination relationship based on public policy information first takes a specific year as the starting time, obtains policy files related to the theme of regional social and economic coordination development, encodes the key attributes of the policy text, and uses the number of policy files as a measure to classify and indicate the policy correlation strength; by analyzing the policy contact of a center city or multiple center cities in the urban agglomeration as the policy subject, the policy contact is mapped to space and visualized, the spatial contact network of the current urban agglomeration is presented, and the urban agglomeration coordination relationship and coordination mechanism characteristics are indicated.

[0012] Compared with the prior art, the present application has the following advantages:

[0013] 1. The present application can objectively and truly reflect the urban agglomeration coordination level, and has the condition to provide technical support for local government customization in the field of coordination development policy and optimization of urban agglomeration coordination mechanism for high-level government;

[0014] 2. The coded public policy information database has the condition to become the basic database for government decision-making;

[0015] 3. The public policy information database can be dynamically updated, track and reflect the dynamic changes of the urban agglomeration coordination relationship, and has the condition to become a city agglomeration coordination government monitoring tool.

[0016] The application aims at: using real-time updated, publicly published public policy information, dynamically reflecting the coordination relationship of urban agglomeration, and realizing the visualization in space, so as to provide technical support for improving the coordination governance level of urban agglomeration and monitoring.

[0017] Additional aspects and advantages of the application will be described in the following description, will become apparent from the following description, or will be learned by practice of the application. BRIEF DESCRIPTION OF DRAWINGS

[0018] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only represent some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0019] Figure 1 is a technical flow schematic diagram of the first embodiment of the present application;

[0020] Figure 2 (a) is a bilateral policy correlation matrix-policy correlation matrix schematic diagram at the provincial level;

[0021] Figure 2 (b) is a bilateral policy correlation matrix-policy correlation matrix schematic diagram at the municipal level;

[0022] Figure 2 (c) is a bilateral policy correlation matrix-policy correlation matrix schematic diagram at the county level;

[0023] Figure 3 is a schematic diagram of XY to Line tool parameter assignment setting page. DETAILED DESCRIPTION

[0024] The technical solutions of the present application will be described in detail below with reference to the drawings. Obviously, the described embodiments are part of the embodiments of the present application, not all embodiments.

[0025] The components of the embodiments of the present application described and shown in the drawings herein can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the claimed application, but only represents selected embodiments of the present application.

[0026] Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0027] Embodiment 1, a method for evaluating the coordination relationship of urban agglomeration based on public policy information, which can be applied to a computer device, and for computer devices that need to evaluate the coordination relationship of urban agglomeration, can be directly integrated on the computer device; in this embodiment, the computer device can be a personal computer, a server, a portable electronic device such as a tablet computer, etc.

[0028] As shown in Figure 1 A method for evaluating the coordination relationship of urban agglomeration based on public policy information specifically includes the following steps, and some steps in the process can be simplified according to different needs;

[0029] Step S1, using a computer device to obtain policy sample data text related to the theme of regional socio-economic coordinated development in a specific area;

[0030] Step S2, preprocessing the obtained policy sample data text. Establish the administrative level category of the policy file publishing subject, the policy subject topological relationship category and the policy theme category, code the policy sample, and form the coded urban agglomeration coordinated development policy information library (.xls);

[0031] The policy level depends on the administrative authority level corresponding to the administrative subject that formulates the policy, including central, provincial, municipal and county levels;

[0032] Policy subjects are divided into policy makers and policy target recipients, and policy subject relationships include master-slave relationships, one-way relationships, bilateral relationships, and multilateral relationships; if the public policy is a strategic and guiding policy document published by a higher-level government subject to a lower-level government subject, then the policy subject relationship is defined as a master-slave relationship; if the public policy is a policy document published by a certain city as a policy maker and facing another city, and the policy implementation is not subject to the policy target recipient, then the policy subject relationship is defined as a one-way relationship; if the public policy is jointly published by two policy subjects, then the policy subject relationship is defined as a bilateral relationship; if the public policy is jointly published by multiple policy subjects, then the policy subject relationship is defined as a multilateral relationship;

[0033] Policy themes are divided into 5 categories and 12 subcategories, 5 categories are industry, public service, ecological environment, resources (energy, water resources, land, etc.), and crisis response, 12 subcategories are urban construction, technological innovation, infrastructure, modern industry, ecological civilization, high-quality life, business environment, development platform, forest land and sea, financial support, customs service, and entrepreneurship and employment;

[0034] Step S3: The computer device assigns the X and Y coordinates of the city's geospatial coordinates to the coded urban agglomeration coordinated development policy information database; and establishes new fields Start-X, Start-Y, End-X, End-Y, and R; where Start-X, Start-Y, End-X, and End-Y respectively represent the X and Y coordinates of two cities with a coordinated relationship, and R represents the strength of the coordinated relationship between the cities, satisfying R i =∑ j R ij， The resulting OD matrix file is a policy correlation matrix of urban agglomeration collaboration. To facilitate the explanation of the operation process, the urban policy correlation matrix is ​​shown in Figure 2(a), Figure 2(b), and Figure 2(c).

[0035] Step S4: The computer device creates a geospatial database in ArcGIS software and imports the OD matrix file into the geospatial database.

[0036] Step S5, as follows Figure 3 As shown, in ArcGIS software, the computer device selects the XY to Line tool in ArcToolbox and sets the command to satisfy the following parameters: Start X Field=Start-X, Start Y Field=Start-Y, End X Field=End-X, End Y Field=End-Y, Line Type=GEODESIC, ID=R; thereby generating a linear model file that maps the policy association matrix of urban agglomeration collaboration to space, achieving preliminary visualization.

[0037] Step S6: To more clearly characterize the strength of collaborative relationships, the computer device uses the natural discontinuity classification method in ArcGIS software to divide the strength of collaborative relationships into several levels, and sets the corresponding symbols and label attributes for each level for further visualization, ultimately forming a network map of urban agglomeration collaborative relationships that characterizes the policy connection strength of various subjects.

[0038] This embodiment does not impose any limitation on the shape, material, structure, etc. of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention shall fall within the protection scope of the technical solution of the present invention.

Claims

1. A method for assessing the collaborative relationship of urban agglomerations based on public policy information, characterized in that, Includes the following steps: Step S1: Use a computer device to obtain the data text of the coordinated development policy from relevant government websites and Internet media information platforms; Step S2: Establish administrative level categories, policy subject topology categories, and policy theme categories for policy document issuing entities; encode the key attributes of policy samples; and form a policy information database for coordinated development of urban agglomerations. Step S3: Based on the spatial location of the city's geographic center, determine the city's geospatial coordinates and assign them to the urban agglomeration collaborative development policy information database and each sub-database; create new fields to refer to the coordinates of two cities that have a collaborative relationship with each other, forming an OD matrix file, which is a policy association matrix of urban agglomeration collaborative relationships; Step S4: Create a geospatial database in ArcGIS software and import the OD matrix file into the geospatial database; Step S5: Using the XY to Line tool in ArcToolbox, generate a linear model file that maps the policy correlation matrix of the city cluster's collaborative relationship onto space, achieving preliminary visualization; The city's geospatial coordinates are Point X (Point X1, Point X2, ..., Point X...). n ) and Point Y (PointY1, Point Y2,..., Point Y n Create new fields named Start-X, Start-Y, End-X, End-Y, and R; where Start-X, Start-Y, End-X, and End-Y represent the X and Y coordinates of two cities that have a collaborative relationship, respectively. i =Point X i Start-Y i =Point Y i End-X j =Point X j End-Y j =Point Y j R represents the strength of the collaborative relationship between the two cities, satisfying R i =∑ j R ij ; The XY to Line tool in step S5 needs to meet the following requirements when setting the command: Start X Field=Start-X, Start Y Field=Start-Y, End X Field=End-X, End Y Field=End-Y, Line Type=GEODESIC, ID=R.

2. The method for assessing the collaborative relationship of urban agglomerations based on public policy information according to claim 1, characterized in that: It also includes step S6, which uses the natural discontinuity classification method in ArcGIS software to divide the collaborative relationship strength R into several levels, and sets the corresponding symbols and label attributes for each level for further visualization, ultimately forming a city cluster collaborative relationship network map that represents the policy connection strength of various subjects.

3. The method for assessing the collaborative relationship of urban agglomerations based on public policy information according to claim 2, characterized in that: The strength of the synergistic relationship R is further subdivided into four or more categories.

4. The method for assessing the collaborative relationship of urban agglomerations based on public policy information according to claim 1, characterized in that: The urban agglomeration coordinated development policy information database includes sub-databases for coordinated development policies based on one-way relationships, bilateral relationships, multilateral relationships, master-servant relationships, and individual cities within the urban agglomeration.

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