Planning method for collaborative planning of urban and industrial infrastructures

Abstract

The invention discloses a planning method for collaborative planning of urban and industrial infrastructures, which belongs to the technical field of urban and industrial planning, and comprises the following steps of: establishing a correlation model of an impervious surface and population density, collecting land blocks of a target city and application types of current land blocks, and extracting a densely populated area; a multi-level and diversified traffic system is constructed, station-city integrated public transportation is set, construction and upgrading of public facilities and infrastructures are improved, a data sharing mechanism is established, a joint evaluation system is established, and a public opinion platform is established. According to the method, a population density model estimation method is established based on an impervious surface, through the population distribution condition and the land utilization condition, a GIS system is utilized to optimize traffic lines, public facilities and infrastructure construction is improved, reasonable layout and structural adjustment of the industry are guided, optimization and upgrading of the industrial structure are achieved, and the method is suitable for popularization and application. And sustainable development of the city is promoted through modes of data sharing, planning negotiation, system integration, project docking and the like.

Description

Technical Field

[0001] The present invention relates to the technical field of urban and industrial planning, and in particular to a planning method for coordinated planning of urban and industrial infrastructure. Background Art

[0002] Traditional urban planning and industrial planning are often carried out separately and lack effective coordination. Urban planning mainly focuses on the livability, accessibility and environmental friendliness of the city, while industrial planning focuses on the optimization of industrial structure, economic growth and employment increase. However, the interactive relationship between the two is crucial to the sustainable development of the city. Land use planning in urban planning directly affects the spatial layout of the industry, and the development of the industry in turn puts forward requirements for the adjustment and optimization of urban planning. Therefore, it is of great significance to achieve coordinated planning of urban and industrial infrastructure. Summary of the invention

[0003] The purpose of the present invention is to provide a planning method for the coordinated planning of urban and industrial infrastructure to solve the above-mentioned problems. Through data collection and the establishment of a population density model, the distribution of population and land use can be intuitively displayed, transportation facilities can be optimized, public facilities and infrastructure construction can be improved, and the coordinated development of urban planning and industrial planning can be achieved.

[0004] Technical solution: The present invention provides a planning method for coordinated planning of urban and industrial infrastructure, comprising the following steps: S1 Establish a correlation model between impervious surface and population density, obtain remote sensing data and census statistics, extract urban impervious surface information from remote sensing images, and establish a linear regression model to show the correlation between population density and urban impervious surface; S2 determines the land blocks of the target city and the application types of the current land blocks based on the current remote sensing image of the target city; S3 obtains the population number in each type of land use and extracts densely populated areas based on the land block type and the population density model obtained in S1; S4 builds a multi-level and diversified transportation system in densely populated areas, sets up integrated station-city public transportation, and connects various life function scenarios in densely populated areas through urban public transportation; S5 improves the construction and upgrading of public facilities and infrastructure. According to the classification of urban land blocks, it arranges energy supply facilities, water supply pipelines and a complete rainwater collection and sewage discharge system to ensure a stable supply of energy, stable water supply and safe water quality, and avoid urban flooding and water pollution.

[0005] Furthermore, in the above-mentioned planning method for coordinated planning of urban and industrial infrastructure, high-resolution satellite remote sensing images are used in S1, and the statistical data include census data and socio-economic statistical data.

[0006] Furthermore, in the above-mentioned planning method for coordinated planning of urban and industrial infrastructure, S1 adopts spectral index method and linear spectral mixed pixel decomposition method to extract urban impervious surface information from remote sensing images, and verifies the accuracy of the extracted impervious surface information to ensure the accuracy of the data.

[0007] Furthermore, in the above-mentioned planning method for coordinated planning of urban and industrial infrastructure, the population density model obtained in S1 needs to be compared and verified with statistical data, and the model needs to be calibrated and optimized based on the verification results to improve the estimation accuracy.

[0008] Furthermore, in the above-mentioned planning method for coordinated planning of urban and industrial infrastructure, the planning of traffic routes in S4 adopts GIS system integration including land use, population density distribution, travel survey data, socio-economic data, combined with spatiotemporal analysis, to predict changes in traffic demand in different time periods and regions, balance and adjust public transportation schedules, increase the number of public transportation in densely populated core areas, reduce traffic routes in sparsely populated areas, reduce ineffective travel, and thus reduce construction and operation costs.

[0009] Furthermore, in the above-mentioned planning method for coordinated planning of urban and industrial infrastructure, S1 uses the Dijkstra algorithm through the GIS route optimization algorithm to calculate the shortest or fastest route between two places, thereby optimizing the public transportation route and simultaneously optimizing the route direction and station settings.

[0010] Furthermore, in the above-mentioned planning method for coordinated planning of urban and industrial infrastructure, S5 also includes the planning of basic industrial facilities. Areas with high population density have more active economic activities and more employment space, which is conducive to the rapid development of industry, services and commerce. Taking into account the distribution of population density, industrial parks and commercial areas are rationally arranged to promote industrial agglomeration and development.

[0011] Furthermore, the above-mentioned planning method for coordinated planning of urban and industrial infrastructure also includes establishing a data sharing mechanism, in which the urban planning department and the industrial planning department establish a data sharing mechanism, share data related to urban development, hold regular meetings, and conduct planning consultations.

[0012] Furthermore, the above-mentioned planning method for coordinated planning of urban and industrial infrastructure also includes establishing a joint evaluation system to evaluate the implementation effects of urban planning and industrial infrastructure planning every year, and timely adjust and optimize subsequent development plans based on the evaluation results.

[0013] Furthermore, the above-mentioned planning method for coordinated planning of urban and industrial infrastructure also includes establishing a public opinion platform, strengthening planning publicity and public participation, allowing the public to understand the content and purpose of the planning, listening to public opinions and suggestions, and timely adjusting and optimizing planning schemes to improve public satisfaction and recognition.

[0014] It can be seen from the above technical scheme that the present invention has the following beneficial effects: a planning method for coordinated planning of urban and industrial infrastructure described in the present invention, based on an estimation method for establishing a population density model based on an impervious surface, can quickly and effectively estimate the population size of a target area. Population density is an important factor affecting the planning and layout of industrial infrastructure. Through the distribution of population and land use, the GIS system is used to optimize transportation routes, improve public facilities and infrastructure construction, achieve coordinated development of urban planning and industrial planning, guide the rational layout and structural adjustment of industries, and achieve optimization and upgrading of industrial structure. Through data sharing, planning consultation, system integration and project docking, interactive coordination of urban planning and industrial planning is achieved to promote the sustainable development of cities. DETAILED DESCRIPTION

[0015] Through data collection and the establishment of a population density model, the population distribution and land use situation can be intuitively displayed, transportation facilities can be optimized, public facilities and infrastructure construction can be improved, and the coordinated development of urban planning and industrial planning can be achieved.

[0016] A planning method for coordinated planning of urban and industrial infrastructure includes the following steps: S1 establishes a correlation model between impervious surface and population density, obtains remote sensing data and census statistics, extracts urban impervious surface information from remote sensing images, and establishes a linear regression model to show the correlation between population density and urban impervious surface.

[0017] The S1 uses high-resolution satellite remote sensing images, such as Landsat series satellite data, and the statistical data includes population census data and socio-economic statistical data. The spectral index method and the linear spectral mixed pixel decomposition method are used to extract urban impervious surface information from remote sensing images, and the extracted impervious surface information is verified for accuracy to ensure the accuracy of the data. The population density model needs to be compared and verified with the statistical data, and the model is calibrated and optimized according to the verification results to improve the estimation accuracy.

[0018] S2 determines the land blocks of the target city and the application types of the current land blocks based on the current remote sensing images of the target city, and divides them into residential land, commercial land, and industrial land.

[0019] S3 obtains the population number in each type of land use and extracts densely populated areas based on the land block type and the population density model obtained in S1.

[0020] S4 builds a multi-level and diversified transportation system in densely populated areas, sets up station-city integrated public transportation, and connects various life function scenarios in densely populated areas through urban public transportation.

[0021] The planning of traffic routes in S4 adopts GIS system integration including land use, population density distribution, travel survey data, socio-economic data, combined with spatiotemporal analysis, to predict changes in traffic demand in different time periods and regions, balance and adjust the frequency of public transportation, increase the number of public transportation in densely populated core areas, reduce traffic routes in sparsely populated areas, reduce ineffective travel, and reduce construction and operation costs.

[0022] Through the GIS route optimization algorithm, the Dijkstra algorithm is used to calculate the shortest or fastest route between two destinations, thereby optimizing public transportation routes and optimizing the route direction and station settings.

[0023] The specific steps of Dijkstra algorithm are as follows: 1. Initialization: Let G=(V,E) be a weighted graph, where V is the set of vertices in the graph and E is the set of edges or arcs. Let S be the set that stores the vertices of the shortest path that has been found, and T be the vertices other than S. Introduce the auxiliary array dist[], each of whose components dist[i] represents the shortest path length currently found from the starting point to vertex i. During initialization, add the starting point V0 to S, the remaining vertices to T, and initialize the distance from the starting point to each vertex as the weight of the edge (if the starting point is not connected to a vertex, the distance is set to infinity); 2. Find the shortest path: Find the vertex k closest to the starting point in T and add it to S; 3. Update distance: For each vertex i in T, if the path to i through vertex k is shorter than the currently recorded shortest path, update dist[i] to the shorter path length; 4. Repeat steps 2 and 3 until T is empty, that is, all vertices have been visited.

[0024] S5 improves the construction and upgrading of public facilities and infrastructure. According to the classification of urban land blocks, it arranges energy supply facilities, water supply pipelines and a complete rainwater collection and sewage discharge system to ensure a stable supply of energy, stable water supply and safe water quality, and avoid urban flooding and water pollution.

[0025] The S5 also includes the planning of basic industrial facilities. Areas with high population density have more active economic activities and more employment space, which is conducive to the rapid development of industry, services and commerce. Taking into account the distribution of population density, industrial parks and commercial areas are rationally laid out to promote industrial agglomeration and development.

[0026] A planning method for collaborative planning of urban and industrial infrastructure also includes establishing a data sharing mechanism between urban planning departments and industrial planning departments to share data related to urban development, hold regular meetings, and plan consultations; It also includes establishing a joint evaluation system to evaluate the implementation effects of urban planning and industrial infrastructure planning every year, and timely adjust and optimize subsequent development plans based on the evaluation results; It also includes establishing a public opinion platform, strengthening planning publicity and public participation, allowing the public to understand the content and purpose of the plan, listening to public opinions and suggestions, timely adjusting and optimizing planning schemes, and improving public satisfaction and recognition.

[0027] It should be noted that the above is only a technical solution of the invention and not a limitation. Although the present invention is described in detail with reference to the preferred embodiments, a person skilled in the art should understand that the technical solution of the invention can be modified or replaced by equivalents without departing from the scope of the technical solution of the present invention, which should be included in the scope of the claims of the present invention.

Claims

1. A planning method for collaborative planning of urban and industrial infrastructure, characterized by: The following steps are involved: S1 Establish a correlation model between impervious surface and population density, obtain remote sensing data and census statistics, extract urban impervious surface information from remote sensing images, and establish a linear regression model to show the correlation between population density and urban impervious surface; S2 determines the land blocks of the target city and the application types of the current land blocks based on the current remote sensing image of the target city; S3 obtains the population number in each type of land use and extracts densely populated areas based on the land block type and the population density model obtained in S1; S4 builds a multi-level and diversified transportation system in densely populated areas, sets up integrated station-city public transportation, and connects various life function scenarios in densely populated areas through urban public transportation; S5 improves the construction and upgrading of public facilities and infrastructure. According to the classification of urban land blocks, it arranges energy supply facilities, water supply pipelines and a complete rainwater collection and sewage discharge system to ensure a stable supply of energy, stable water supply and safe water quality, and avoid urban flooding and water pollution.

2. A planning method for coordinated planning of urban and industrial infrastructure according to claim 1, characterized in that: The S1 uses high-resolution satellite remote sensing images, and the statistical data includes census data and socio-economic statistics.

3. The planning method for coordinated planning of urban and industrial infrastructure according to claim 1, characterized in that: The S1 uses a spectral index method and a linear spectral mixed pixel decomposition method to extract urban impervious surface information from remote sensing images, and verifies the accuracy of the extracted impervious surface information to ensure the accuracy of the data.

4. The method for collaborative planning of urban and industrial infrastructure according to claim 1, characterized in that: The population density model obtained in S1 needs to be compared and verified with statistical data, and the model should be calibrated and optimized according to the verification results to improve the estimation accuracy.

5. The method for collaborative planning of urban and industrial infrastructure according to claim 1, characterized in that: The planning of traffic routes in S4 adopts GIS system integration including land use, population density distribution, travel survey data, socio-economic data, combined with spatiotemporal analysis, to predict changes in traffic demand in different time periods and regions, balance and adjust the frequency of public transportation, increase the number of public transportation in densely populated core areas, reduce traffic routes in sparsely populated areas, reduce ineffective travel, and reduce construction and operation costs.

6. A planning method for coordinated planning of urban and industrial infrastructure according to claim 5, characterized in that: The S1 uses the Dijkstra algorithm through the GIS route optimization algorithm to calculate the shortest or fastest route between two destinations, thereby optimizing the public transportation route and optimizing the route direction and station settings.

7. The method for collaborative planning of urban and industrial infrastructure according to claim 1, characterized in that: The S5 also includes the planning of basic industrial facilities. Areas with high population density have more active economic activities and more employment space, which is conducive to the rapid development of industry, services and commerce. Taking into account the distribution of population density, industrial parks and commercial areas are rationally laid out to promote industrial agglomeration and development.

8. The method for collaborative planning of urban and industrial infrastructure according to claim 1, characterized in that: It also includes the establishment of a data sharing mechanism, whereby urban planning departments and industrial planning departments establish a data sharing mechanism, share data related to urban development, hold regular meetings, and conduct planning consultations.

9. A planning method for coordinated planning of urban and industrial infrastructure according to claim 8, characterized in that: It also includes the establishment of a joint evaluation system to evaluate the implementation effects of urban planning and industrial infrastructure planning every year, and to promptly adjust and optimize subsequent development plans based on the evaluation results.

10. A planning method for coordinated planning of urban and industrial infrastructure according to claim 1, characterized in that: It also includes establishing a public opinion platform, strengthening planning publicity and public participation, allowing the public to understand the content and purpose of the plan, listening to public opinions and suggestions, timely adjusting and optimizing planning schemes, and improving public satisfaction and recognition.