Urban human settlement built-up environment assessment method in combination with multi-source heterogeneous geographic big data

Abstract

The invention relates to the technical field of geographic information science and spatial data analysis, in particular to an urban human settlement built-up environment assessment method combined with multi-source heterogeneous geographic big data, and the method comprises the steps: carrying out the data preprocessing of target city social and environmental data of a target city, so as to generate a multi-source heterogeneous geographic database, determining a city built-up environment assessment sub-framework corresponding to a target assessment module of the built-up environment assessment system in the target city; and based on the city built-up environment evaluation sub-framework, constructing a multi-dimensional city human settlement built-up environment evaluation model, so as to input the pre-investigated city resident space position information in the target city into the multi-dimensional city human settlement built-up environment evaluation model, thereby outputting a city human settlement built-up environment evaluation result. According to the embodiment of the invention, the method can achieve the multi-dimensional evaluation of the built environment of the urban residents, and improves the real-time performance, comprehensiveness and scientificity of the evaluation of the built environment of the urban residents.

Description

Technical Field

[0001] The present application relates to the field of geographic information science and spatial data analysis technology, and in particular to a method for evaluating the built environment of urban human settlements by combining multi-source heterogeneous geographic big data. Background Art

[0002] The living environment, infrastructure quality, and accessibility of urban residents directly impact their quality of life and social harmony. The assessment and monitoring of the urban built environment can dynamically reflect changes in the urban environment and provide important data support for optimizing urban layout and high-quality development.

[0003] Current human settlement environment assessment methods mostly rely on statistical data and social surveys. These methods usually have problems such as poor data timeliness and incomplete geographical coverage. Among related technologies, the built environment of urban residents can be evaluated by monitoring the infrastructure, social support or environmental quality of urban residents' lives.

[0004] However, the built environment assessment dimensions of urban residents in relevant technologies are relatively single, lacking comprehensiveness in the built environment assessment of urban residents, reducing the real-time and comprehensiveness of the urban human settlement built environment assessment, and failing to meet the needs of scientific design of urban built environment design, which urgently needs to be solved. Summary of the Invention

[0005] This application provides an urban human settlement built environment assessment method that combines multi-source heterogeneous geographic big data to solve the problem that the built environment assessment of urban residents in related technologies is relatively single in dimension, lacks comprehensiveness in the assessment of urban residents' built environment, reduces the real-time and comprehensiveness of urban human settlement built environment assessment, and cannot meet the needs of scientific design of urban built environment.

[0006] The first aspect of the present application provides an urban human settlement built environment assessment method combining multi-source heterogeneous geographic big data, comprising the following steps: obtaining target city social and environmental data of a target city, and performing data preprocessing on the target city social and environmental data to generate a multi-source heterogeneous geographic database; determining, based on the multi-source heterogeneous geographic database, an urban built environment assessment subframe corresponding to a target assessment module of a built environment assessment system in the target city; and constructing a multidimensional urban human settlement built environment assessment model based on the urban built environment assessment subframework, so as to input the spatial location information of urban residents pre-surveyed in the target city into the multi-dimensional urban human settlement built environment assessment model to output an urban human settlement built environment assessment result.

[0007] Optionally, in an embodiment of the present application, obtaining the target city's social and environmental data of the target city and preprocessing the target city's social and environmental data to generate a multi-source heterogeneous geographical database includes: obtaining the urban infrastructure data, urban land cover data, and public transportation network and facility data in the target city's social and environmental data; performing georegistration and projection processing on the vectors and rasters of the urban infrastructure data, the urban land cover data, and the public transportation network and facility data to obtain processed multi-source data, and using the processed multi-source data to generate the multi-source heterogeneous geographical database.

[0008] Optionally, in an embodiment of the present application, using the processed multi-source data to generate the multi-source heterogeneous geographical database includes: obtaining the geographical coordinate information and closed planar layer of the target area in the target city; constructing the target city road network within the target area based on the geographical coordinate information and the closed planar layer; constructing an origin-destination cost matrix based on the target city road network and urban public service point-of-interest data, and performing target accessibility analysis on the target area using the origin-destination cost matrix to obtain the accessibility analysis result of the target area; generating the multi-source heterogeneous geographical database based on the geographical coordinate information and closed planar layer of the target area, the target city road network, and the accessibility analysis result.

[0009] Optionally, in an embodiment of the present application, determining the urban built environment assessment sub-framework corresponding to the target assessment module of the built environment assessment system in the target city based on the multi-source heterogeneous geographical database includes: constructing a land diversity assessment module, a built environment design module, a destination accessibility module, a public transportation accessibility module, and a built environment density module of the built environment assessment system; determining the first urban built environment assessment sub-framework corresponding to the land diversity assessment module based on the multi-source heterogeneous geographical database; determining the second urban built environment assessment sub-framework corresponding to the built environment design module based on the multi-source heterogeneous geographical database; determining the third urban built environment assessment sub-framework corresponding to the destination accessibility module based on the multi-source heterogeneous geographical database; determining the fourth urban built environment assessment sub-framework corresponding to the public transportation accessibility module based on the multi-source heterogeneous geographical database; determining the fifth urban built environment assessment sub-framework corresponding to the built environment density module based on the multi-source heterogeneous geographical database.

[0010] Optionally, in an embodiment of the present application, after generating the urban human settlement built environment assessment result, it further includes: determining the target problems and improvement spaces of the urban resident space in the target city based on the urban human settlement built environment assessment result; optimizing the urban human settlement built environment in the target city according to the target problems and the improvement spaces.

[0011] An urban human settlement built environment assessment device combining multi-source heterogeneous geographic big data provided by the second aspect embodiment of the present application includes: an acquisition module, configured to acquire target city social and environmental data of a target city, and perform data preprocessing on the target city social and environmental data to generate a multi-source heterogeneous geographic database; a determination module, configured to determine a corresponding urban built environment assessment sub-framework of a target assessment module of a built environment assessment system in the target city based on the multi-source heterogeneous geographic database; an assessment module, configured to construct a multi-dimensional urban human settlement built environment assessment model based on the urban built environment assessment sub-framework, and input pre-investigated urban resident spatial location information in the target city into the multi-dimensional urban human settlement built environment assessment model to output an urban human settlement built environment assessment result.

[0012] Optionally, in an embodiment of the present application, the acquisition module includes: an acquisition unit, configured to acquire urban infrastructure data, urban land cover data, and public transportation network and facility data in the target city social and environmental data; a processing unit, configured to perform georegistration and projection processing on vectors and rasters of the urban infrastructure data, the urban land cover data, and the public transportation network and facility data to obtain processed multi-source data, and use the processed multi-source data to generate the multi-source heterogeneous geographic database.

[0013] Optionally, in an embodiment of the present application, the processing unit includes: an acquisition subunit, configured to acquire geographic coordinate information and a closed planar layer of a target area in the target city; a first construction subunit, configured to construct a target urban road network in the target area based on the geographic coordinate information and the closed planar layer; a second construction subunit, configured to construct an origin-destination cost matrix based on the target urban road network and urban public service interest point data, and perform target accessibility analysis on the target area by using the origin-destination cost matrix to obtain an accessibility analysis result of the target area; a generation subunit, configured to generate the multi-source heterogeneous geographic database based on the geographic coordinate information and the closed planar layer of the target area, the target urban road network, and the accessibility analysis result.

[0014] Optionally, in an embodiment of the present application, the determining module includes: a construction unit configured to construct a land diversity assessment module, a built environment design module, a destination accessibility module, a public transportation accessibility module, and a built environment density module of the built environment assessment system; a first determining unit configured to determine a first sub-framework for urban built environment assessment corresponding to the land diversity assessment module based on the multi-source heterogeneous geographic database; a second determining unit configured to determine a second sub-framework for urban built environment assessment corresponding to the built environment design module based on the multi-source heterogeneous geographic database; a third determining unit configured to determine a third sub-framework for urban built environment assessment corresponding to the destination accessibility module based on the multi-source heterogeneous geographic database; a fourth determining unit configured to determine a fourth sub-framework for urban built environment assessment corresponding to the public transportation accessibility module based on the multi-source heterogeneous geographic database; and a fifth determining unit configured to determine a fifth sub-framework for urban built environment assessment corresponding to the built environment density module based on the multi-source heterogeneous geographic database.

[0015] Optionally, in an embodiment of the present application, the apparatus of the embodiment of the present application further includes: a determining module configured to, after generating an assessment result of the urban human settlement built environment, determine a target problem and an improvement space of the urban resident space in the target city based on the assessment result of the urban human settlement built environment; and an optimization module configured to, after generating an assessment result of the urban human settlement built environment, optimize the urban human settlement built environment in the target city according to the target problem and the improvement space.

[0016] An embodiment of the third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the method for assessing the urban human settlement built environment by combining multi-source heterogeneous geographic big data as described in the above embodiments.

[0017] An embodiment of the fourth aspect of the present application provides a computer-readable storage medium storing a computer program, and when the program is executed by a processor, the method for assessing the urban human settlement built environment by combining multi-source heterogeneous geographic big data as described above is implemented.

[0018] An embodiment of the fifth aspect of the present application provides a computer program product including a computer program, and when the computer program is executed, it is used to implement the method for assessing the urban human settlement built environment by combining multi-source heterogeneous geographic big data as described above.

[0019] Embodiments of the present application can utilize a multi-source heterogeneous geographical database to determine a sub-framework for urban built environment assessment corresponding to a target assessment module of a built environment assessment system in a target city, thereby constructing a multi-dimensional urban human settlement built environment assessment model. By inputting the pre-investigated spatial location information of urban residents in the target city into the multi-dimensional urban human settlement built environment assessment model, the assessment results of the urban human settlement built environment can be output, improving the timeliness, comprehensiveness, and scientificity of the assessment of the built environment of urban residents. Thus, the problems in the related art, such as the relatively single dimension of the assessment of the built environment of urban residents, the lack of comprehensiveness in the assessment of the built environment of urban residents, and the reduction of the timeliness and comprehensiveness of the assessment of the urban human settlement built environment, are solved.

[0020] Additional aspects and advantages of the present application will be given in part in the following description, become apparent in part from the following description, or be understood through the practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and / or additional aspects and advantages of the present application will become apparent and be readily understood from the following description of the embodiments in conjunction with the accompanying drawings, where:

[0022] Figure 1 FIG. is a flowchart of a method for assessing the built environment of urban human settlements by combining multi-source heterogeneous geographical big data according to an embodiment of the present application;

[0023] Figure 2 FIG. is a schematic diagram of a system for assessing and monitoring the built environment of urban human settlements in a specific embodiment of the present application;

[0024] Figure 3 FIG. is a schematic structural diagram of a device for assessing the built environment of urban human settlements by combining multi-source heterogeneous geographical big data according to an embodiment of the present application;

[0025] Figure 4 FIG. is a schematic structural diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0026] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the accompanying drawings, where the same or similar reference numerals represent the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to explain the present application, but should not be construed as limiting the present application.

[0027] The following describes the method for evaluating the urban human settlement built environment by combining multi-source heterogeneous geographic big data according to the embodiments of the present application. In view of the problems in the related technologies mentioned in the above background technology, such as the relatively single dimension of the built environment evaluation for urban residents, the lack of comprehensiveness in the evaluation of the built environment for urban residents, and the reduction of the real-time and comprehensiveness of the urban human settlement built environment evaluation, the present application provides a method for evaluating the urban human settlement built environment by combining multi-source heterogeneous geographic big data. In this method, a multi-source heterogeneous geographic database can be used to determine the urban built environment evaluation sub-framework corresponding to the target evaluation module of the built environment evaluation system in the target city, thereby constructing a multi-dimensional urban human settlement built environment evaluation model. Then, the urban resident spatial location information pre-investigated in the target city is input into the multi-dimensional urban human settlement built environment evaluation model to output the evaluation result of the urban human settlement built environment, improving the real-time, comprehensiveness, and scientific nature of the built environment evaluation for urban residents. Thus, the problems in the related technologies, such as the relatively single dimension of the built environment evaluation for urban residents, the lack of comprehensiveness in the evaluation of the built environment for urban residents, and the reduction of the real-time and comprehensiveness of the urban human settlement built environment evaluation, are solved.

[0028] Specifically, Figure 1 FIG. is a schematic flowchart of a method for evaluating the urban human settlement built environment by combining multi-source heterogeneous geographic big data provided by an embodiment of the present application.

[0029] As Figure 1 shown, the method for evaluating the urban human settlement built environment by combining multi-source heterogeneous geographic big data includes the following steps:

[0030] In step S101, obtain the target city's social and environmental data of the target city, and perform data preprocessing on the target city's social and environmental data to generate a multi-source heterogeneous geographic database.

[0031] In the embodiments of the present application, the target city's social and environmental data is high spatio-temporal resolution urban social and environmental data; the target city is the city currently evaluating the urban human settlement built environment.

[0032] It can be understood that the embodiments of the present application can obtain the target city's social and environmental data of the target city. For example, various high spatio-temporal resolution data related to the urban built environment can be collected, such as urban infrastructure, urban land cover, and public transportation networks and facilities. Then, using GIS (Geographic Information System) analysis software to perform georegistration and vectorization processing on the target city's social and environmental data to ensure the spatial reference consistency between different data sources, thereby generating a multi-source heterogeneous geographic database, effectively improving the comprehensiveness of the urban human settlement built environment evaluation.

[0033] Among them, in an embodiment of the present application, target urban social and environmental data of a target city is obtained, and the target urban social and environmental data is preprocessed to generate a multi-source heterogeneous geographic database, including: obtaining urban infrastructure data, urban land cover data, and public transportation network and facility data in the target urban social and environmental data; performing georegistration and projection processing on the vectors and rasters of the urban infrastructure data, urban land cover data, and public transportation network and facility data to obtain processed multi-source data, so as to generate a multi-source heterogeneous geographic database by using the processed multi-source data.

[0034] In the actual execution process, the embodiments of the present application can collect various data related to the urban built environment, such as urban infrastructure (such as roads, building density, bus stops, population density, etc.), urban land cover, public transportation network and facilities, that is, public service facility POI (Point of Interest) data, such as shopping, entertainment, squares, hospitals, pharmacies, schools, etc., and land cover products. These data sources can be obtained through multiple channels to ensure the comprehensiveness and high spatio-temporal resolution of the data. Then, the vectors and rasters of the above data can be subjected to georegistration and projection conversion processing through GIS software such as ArcGIS to obtain processed multi-source data and ensure the spatial reference consistency between different data sources. Furthermore, the processed multi-source data is uniformly imported into the geographic file database to generate a multi-source heterogeneous geographic database. Among them, the multi-source heterogeneous geographic database covers the main elements of the urban built environment and provides strong data support for subsequent evaluation and monitoring systems.

[0035] Optionally, in an embodiment of the present application, generating a multi-source heterogeneous geographic database by using the processed multi-source data includes: obtaining the geographic coordinate information and closed polygon layer of a target area in the target city; constructing the target urban road network within the target area based on the geographic coordinate information and the closed polygon layer; constructing an origin-destination cost matrix based on the target urban road network and urban public service interest point data, and performing target accessibility analysis on the target area by using the origin-destination cost matrix to obtain the accessibility analysis result of the target area; generating a multi-source heterogeneous geographic database based on the geographic coordinate information and closed polygon layer of the target area, the target urban road network, and the accessibility analysis result.

[0036] In the embodiments of the present application, the target area can be the spatial locations of urban residents such as parks, shopping malls, and buildings.

[0037] As a possible implementation method, the embodiments of the present application can collect various high spatio-temporal resolution data related to the urban built environment, including urban infrastructure (such as road networks, buildings, public service facility POI data), urban land cover, public transportation networks and facilities, etc.; then, use GIS analysis software to perform georegistration and vectorization processing on the collected built environment data to obtain the geographic coordinate information and closed polygon layers of the built environment data; secondly, the types of urban roads can also be screened, and the road lengths and drivable speeds can be calculated and corrected to construct a multi-mode urban road network with a topological structure; again, based on the constructed urban road network, combined with urban public service POI data (such as: parks, restaurants, shopping, medical care, etc.), an ODCM (Origin-Destination Cost Matrix) is constructed for accessibility analysis; finally, the processed basic geographic data of different modules are integrated into a multi-source heterogeneous geographic database to provide data support for subsequent built environment assessment.

[0038] In step S102, based on the multi-source heterogeneous geographic database, determine the urban built environment assessment sub-framework corresponding to the target assessment module of the built environment assessment system in the target city.

[0039] In the embodiments of the present application, the target assessment module includes a land diversity assessment module, a built environment design module, a destination accessibility module, a public transportation accessibility module, and a built environment density module.

[0040] It can be understood that the embodiments of the present application can determine different urban built environment assessment sub-frameworks corresponding to the land diversity assessment module, the built environment design module, the destination accessibility module, the public transportation accessibility module, and the built environment density module in the following steps based on the multi-source heterogeneous geographic database, so as to reflect the built environment characteristics of residents in different dimensions, effectively improving the comprehensiveness and accuracy of urban human settlement built environment assessment.

[0041] Among them, in an embodiment of the present application, based on a multi-source heterogeneous geographic database, determining a sub-framework of urban built environment assessment corresponding to a target assessment module of a built environment assessment system in a target city includes: constructing a land diversity assessment module, a built environment design module, a destination accessibility module, a public transportation accessibility module, and a built environment density module of the built environment assessment system; based on the multi-source heterogeneous geographic database, determining a first sub-framework of urban built environment assessment corresponding to the land diversity assessment module; based on the multi-source heterogeneous geographic database, determining a second sub-framework of urban built environment assessment corresponding to the built environment design module; based on the multi-source heterogeneous geographic database, determining a third sub-framework of urban built environment assessment corresponding to the destination accessibility module; based on the multi-source heterogeneous geographic database, determining a fourth sub-framework of urban built environment assessment corresponding to the public transportation accessibility module; based on the multi-source heterogeneous geographic database, determining a fifth sub-framework of urban built environment assessment corresponding to the built environment density module.

[0042] For example, as Figure 2 shown, the embodiment of the present application can determine a first sub-framework of urban built environment assessment corresponding to the land diversity assessment module. Specifically, the embodiment of the present application can use EI (Entropy index) to calculate the heterogeneity degree of land mixed use, and measure the diversity degree of land use by analyzing the diversity degree of different facilities within a 500-meter buffer around the subject's home address.

[0043] Next, the embodiment of the present application can determine a second sub-framework of urban built environment assessment corresponding to the built environment design module. Among them, the built environment design includes road design and facility design; the road design includes: ① Street connectivity: The intersection density can reflect street connectivity, and the GIS technology is used to calculate the intersection density within a 500-meter buffer around the respondent's community respectively; First, use GIS software to draw the boundary of the respondent's community and create a buffer with a radius of 500 meters; Then, use the road network data to identify all intersections (road intersections, intersections, crossroads, etc.) within the buffer; Finally, by dividing the number of intersections by the area of the buffer, the intersection density within 500 meters around the community is obtained. ② Road network density: Usually, the road network density is calculated by dividing the total road length by the total area. The road data that intersects or is included in the buffer is screened within a 500-meter buffer centered on the respondent's community through GIS software. ③ Distance to the main road: The GIS technology is used to calculate the distance between the subject's home address and the main road. In addition, the facility design includes: ① Distance to leisure and sports facilities: Calculate the distance from the respondent to the leisure and sports facilities with the community center as the center point; ② Nearest distance to the park: Calculate the distance from the respondent to the nearest park with the community center as the center point; ③ Number of parks within the buffer.

[0044] Secondly, the embodiments of the present application can determine the third sub-framework for evaluating the urban built environment corresponding to the destination accessibility module. Among them, according to the hierarchical construction standard of public facilities, a facility catalog suitable for the daily activity characteristics of Chinese people is determined. These facility points are divided into 6 main categories, namely commercial facilities, municipal public facilities, cultural and leisure facilities, financial and postal facilities, medical service facilities, and educational institutions. Then these facilities are further divided into 19 sub-categories. Specifically, see Table 1. Table 1 is a table of facility classification and weights, and the specific Table 1 is as follows:

[0045] Table 1

[0046]

[0047] As shown in Table 1, this study uses a distance decay function. For 6 main service facility categories and their 19 sub-categories, based on the OD distance (Origin-Destination) of the road network, the road network travel distance between each service facility and the respondent's home address is calculated. Finally, by adding these weighted decay coefficients, a comprehensive evaluation of destination accessibility is obtained.

[0048] Thirdly, the embodiments of the present application can determine the fourth sub-framework for evaluating the urban built environment corresponding to the public transportation accessibility module. Among them, when evaluating public transportation accessibility, two key indicators are concerned. The first indicator is to calculate the distance between the research object within the 500-meter buffer zone of the home address and the nearest public transportation station (including bus stops and subway stations); the second indicator is to calculate the number of public transportation stations per square kilometer within the 500-meter buffer zone of the research object's home address.

[0049] Finally, the embodiments of the present application can determine the fifth sub-framework for evaluating the urban built environment corresponding to the built environment density module. Among them, the built environment density includes population density, building density, and residential density. The population density is calculated based on the population number per square kilometer within the buffer zone. The evaluation method of building density is to calculate the total building base area and then compare it with the buffer area of the community to determine.

[0050] In step S103, based on the sub-framework for evaluating the urban built environment, a multi-dimensional evaluation model of the urban human settlement built environment is constructed, and the pre-investigated urban resident spatial location information in the target city is input into the multi-dimensional evaluation model of the urban human settlement built environment to output the evaluation result of the urban human settlement built environment.

[0051] It can be understood that the embodiments of the present application can build a multi-dimensional urban human settlement built environment evaluation model based on the urban built environment evaluation sub-framework in the above steps. For example, by means of the 500m buffer zone of residents, the number of bus stops, etc., calculate the land area by zoning statistics and the shortest distance, etc., and finally form a comprehensive built environment evaluation model covering various urban built environments. Then, the urban resident spatial location information of the pre-surveyed respondents can be input into the multi-dimensional urban human settlement built environment evaluation model. The model can quantitatively evaluate the urban human settlement built environment according to different evaluation indicators and five sub-modules, and output the evaluation results of the urban human settlement built environment, enabling a clear understanding of the differences in the environment where residents are located and providing decision-making support for further urban planning.

[0052] Therefore, the embodiments of the present application can comprehensively and deeply evaluate and monitor the suitability of the urban human settlement built environment by integrating multi-source and multi-dimensional urban built environment data, such as land use diversity, accessibility of transportation and service facilities, etc.

[0053] Optionally, in an embodiment of the present application, after generating the evaluation results of the urban human settlement built environment, it further includes: determining the target problems and improvement spaces in the urban resident space in the target city based on the evaluation results of the urban human settlement built environment; optimizing the urban human settlement built environment in the target city according to the target problems and improvement spaces.

[0054] In some embodiments, the embodiments of the present application can monitor the urban resident space based on the evaluation results of the urban human settlement built environment, determine the target problems and improvement spaces in the urban resident space in the city, so as to optimize the urban human settlement built environment, comprehensively and deeply evaluate and monitor the suitability of the urban human settlement built environment, effectively identify the potential problems and improvement spaces in the living space of the surveyed urban population, and optimize the adaptability design of the residential environment in urban construction.

[0055] According to the urban human settlement built environment evaluation method combining multi-source heterogeneous geographical big data proposed by the embodiments of the present application, a multi-dimensional urban human settlement built environment evaluation model can be constructed by using a multi-source heterogeneous geographical database to determine the urban built environment evaluation sub-framework corresponding to the target evaluation module of the built environment evaluation system in the target city, so as to input the pre-surveyed urban resident spatial location information in the target city into the multi-dimensional urban human settlement built environment evaluation model to output the evaluation results of the urban human settlement built environment, improving the real-time, comprehensiveness and scientificity of the evaluation of the urban resident built environment. Thus, the problems in the related art that the evaluation dimension of the urban resident built environment is relatively single, lacking comprehensiveness in the evaluation of the urban resident built environment, and reducing the real-time and comprehensiveness of the evaluation of the urban human settlement built environment are solved.

[0056] Next, a device for evaluating the urban human settlement built environment by integrating multi-source heterogeneous geographical big data according to an embodiment of the present application will be described with reference to the accompanying drawings.

[0057] Figure 3 It is a block diagram of a device for evaluating the urban human settlement built environment by integrating multi-source heterogeneous geographical big data according to an embodiment of the present application.

[0058] As [[ID=VIII]] Figure 3 [[ID=IX]]As shown, the device 10 for evaluating the urban human settlement built environment by integrating multi-source heterogeneous geographical big data includes: an acquisition module 100, a determination module 200, and an evaluation module 300.

[0059] Specifically, the acquisition module 100 is configured to acquire target city social and environmental data of a target city, and perform data preprocessing on the target city social and environmental data to generate a multi-source heterogeneous geographical database.

[0060] The determination module 200 is configured to determine a sub-framework for evaluating the urban built environment corresponding to a target evaluation module of a built environment evaluation system in the target city based on the multi-source heterogeneous geographical database.

[0061] The evaluation module 300 is configured to construct a multi-dimensional evaluation model for the urban human settlement built environment based on the sub-framework for evaluating the urban built environment, and input the pre-investigated urban resident spatial location information in the target city into the multi-dimensional evaluation model for the urban human settlement built environment to output an evaluation result for the urban human settlement built environment.

[0062] Optionally, in an embodiment of the present application, the acquisition module 100 includes: an acquisition unit and a processing unit.

[0063] Among them, the acquisition unit is configured to acquire urban infrastructure data, urban land cover data, and public transportation network and facility data in the target city social and environmental data.

[0064] The processing unit is configured to perform georegistration and projection processing on the vectors and rasters of the urban infrastructure data, urban land cover data, and public transportation network and facility data to obtain processed multi-source data, and generate a multi-source heterogeneous geographical database by using the processed multi-source data.

[0065] Optionally, in an embodiment of the present application, the processing unit includes: an acquisition subunit, a first construction subunit, a second construction subunit, and a generation subunit.

[0066] Among them, the acquisition subunit is configured to acquire geographical coordinate information and a closed planar layer of a target area in the target city.

[0067] The first construction subunit is configured to construct a target urban road network in the target area based on the geographical coordinate information and the closed planar layer.

[0068] A second construction subunit, configured to construct an origin-destination cost matrix based on the target urban road network and urban public service point-of-interest data, and perform target accessibility analysis on the target area by using the origin-destination cost matrix to obtain the accessibility analysis result of the target area.

[0069] A generation subunit, configured to generate a multi-source heterogeneous geographic database based on the geographic coordinate information of the target area, the closed planar layer, the target urban road network, and the accessibility analysis result.

[0070] Optionally, in an embodiment of the present application, the determination module includes: a construction unit, a first determination unit, a second determination unit, a third determination unit, a fourth determination unit, and a fifth determination unit.

[0071] Wherein, the construction unit is configured to construct a land diversity assessment module, a built environment design module, a destination accessibility module, a public transportation accessibility module, and a built environment density module of the built environment assessment system.

[0072] The first determination unit is configured to determine a first sub-framework for urban built environment assessment corresponding to the land diversity assessment module based on the multi-source heterogeneous geographic database.

[0073] The second determination unit is configured to determine a second sub-framework for urban built environment assessment corresponding to the built environment design module based on the multi-source heterogeneous geographic database.

[0074] The third determination unit is configured to determine a third sub-framework for urban built environment assessment corresponding to the destination accessibility module based on the multi-source heterogeneous geographic database.

[0075] The fourth determination unit is configured to determine a fourth sub-framework for urban built environment assessment corresponding to the public transportation accessibility module based on the multi-source heterogeneous geographic database.

[0076] The fifth determination unit is configured to determine a fifth sub-framework for urban built environment assessment corresponding to the built environment density module based on the multi-source heterogeneous geographic database.

[0077] Optionally, in an embodiment of the present application, the device 10 of the embodiment of the present application further includes: a determination module and an optimization module.

[0078] Wherein, the determination module is configured to determine the target problems and improvement spaces of the urban resident space in the target city based on the urban human settlement built environment assessment result after generating the urban human settlement built environment assessment result.

[0079] The optimization module is configured to optimize the urban human settlement built environment in the target city according to the target problems and improvement spaces after generating the urban human settlement built environment assessment result.

[0080] It should be noted that the foregoing explanatory description of the embodiments of the method for evaluating the urban human settlement built environment by combining multi-source heterogeneous geographical big data also applies to the device for evaluating the urban human settlement built environment by combining multi-source heterogeneous geographical big data in this embodiment, and will not be elaborated here.

[0081] The device for evaluating the urban human settlement built environment by combining multi-source heterogeneous geographical big data according to the embodiments of the present application can use a multi-source heterogeneous geographical database to determine the sub-framework of the urban built environment evaluation corresponding to the target evaluation module of the built environment evaluation system in the target city, so as to construct a multi-dimensional urban human settlement built environment evaluation model, and input the pre-investigated urban resident spatial location information in the target city into the multi-dimensional urban human settlement built environment evaluation model to output the evaluation result of the urban human settlement built environment, improving the real-time, comprehensiveness and scientific nature of the evaluation of the built environment of urban residents. Thus, the problems in the related art that the evaluation dimension of the built environment of urban residents is relatively single, lacking the comprehensiveness of the evaluation of the built environment of urban residents, and reducing the real-time and comprehensiveness of the evaluation of the urban human settlement built environment are solved.

[0082] Figure 4 The following is a schematic structural diagram of the electronic device provided by the embodiments of the present application. The electronic device may include:

[0083] A memory 401, a processor 402, and a computer program stored on the memory 401 and executable on the processor 402.

[0084] When the processor 402 executes the program, it implements the method for evaluating the urban human settlement built environment by combining multi-source heterogeneous geographical big data provided in the foregoing embodiments.

[0085] Further, the electronic device further includes:

[0086] A communication interface 403 for communication between the memory 401 and the processor 402.

[0087] The memory 401 is used to store a computer program executable on the processor 402.

[0088] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory, such as at least one disk memory.

[0089] If the memory 401, the processor 402, and the communication interface 403 are implemented independently, the communication interface 403, the memory 401, and the processor 402 can be interconnected through a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 only a thick line is used in Figure 4 , but it does not mean that there is only one bus or one type of bus.

[0090] Optionally, in a specific implementation, if the memory 401, the processor 402, and the communication interface 403 are integrated on a single chip, the memory 401, the processor 402, and the communication interface 403 can communicate with each other through an internal interface.

[0091] The processor 402 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0092] This embodiment also provides a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, it implements the urban human settlement built environment assessment method in combination with multi-source heterogeneous geographic big data as described above.

[0093] This embodiment also provides a computer program product, including a computer program, and when the computer program is executed, it is used to implement the urban human settlement built environment assessment method in combination with multi-source heterogeneous geographic big data as described above.

[0094] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples", etc., mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0095] In addition, the terms "first" and "second" are used for descriptive purposes only and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0096] Any process or method description, whether in a flowchart or described otherwise herein, can be understood to represent a module, segment, or portion of code including one or N executable instructions for implementing a customized logical function or process, and the scope of the preferred embodiments of this application includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in the reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of this application pertain.

[0097] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definable list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion (electronic device) having one or N wirings, a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then stored in a computer memory.

[0098] It should be understood that various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), and the like.

[0099] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the methods of the above-described embodiments can be completed by a program instructing relevant hardware, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0100] In addition, each functional unit in various embodiments of the present application may be integrated into one processing module, may exist physically alone for each unit, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0101] The above-mentioned storage medium may be a read-only memory, a magnetic disk, an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. An urban human settlement built environment assessment method combining multi-source heterogeneous geographical big data, characterized in that, Including the following steps: Obtain the target city's social and environmental data, and preprocess the target city's social and environmental data to generate a multi-source heterogeneous geographical database; Based on the multi-source heterogeneous geographical database, determine the urban built environment assessment sub-framework corresponding to the target assessment module of the built environment assessment system in the target city; Based on the urban built environment assessment sub-framework, construct a multi-dimensional urban human settlement built environment assessment model, and input the pre-investigated urban resident spatial location information in the target city into the multi-dimensional urban human settlement built environment assessment model to output the urban human settlement built environment assessment result.

2. The method according to claim 1, characterized in that, The obtaining of the target city's social and environmental data, and the preprocessing of the target city's social and environmental data to generate a multi-source heterogeneous geographical database includes: Obtain the urban infrastructure data, urban land cover data, and public transportation network and facility data in the target city's social and environmental data; Perform georegistration and projection processing on the vectors and rasters of the urban infrastructure data, the urban land cover data, and the public transportation network and facility data to obtain processed multi-source data, and use the processed multi-source data to generate the multi-source heterogeneous geographical database.

3. The method according to claim 2, wherein The generating of the multi-source heterogeneous geographical database using the processed multi-source data includes: Obtain the geographical coordinate information and closed planar layer of the target area in the target city; Based on the geographical coordinate information and closed planar layer, construct the target city road network in the target area; Based on the target city road network and urban public service point of interest data, construct an origin-destination cost matrix, and use the origin-destination cost matrix to perform target accessibility analysis on the target area to obtain the accessibility analysis result of the target area; Based on the geographical coordinate information and closed planar layer of the target area, the target city road network, and the accessibility analysis result, generate the multi-source heterogeneous geographical database.

4. The method according to claim 1, characterized in that, The determining of the urban built environment assessment sub-framework corresponding to the target assessment module of the built environment assessment system in the target city based on the multi-source heterogeneous geographical database includes: Construct the land diversity assessment module, built environment design module, destination accessibility module, public transportation accessibility module, and built environment density module of the built environment assessment system; Based on the multi-source heterogeneous geographical database, determine the first urban built environment assessment sub-framework corresponding to the land diversity assessment module; Based on the multi-source heterogeneous geographical database, determine the second urban built environment assessment sub-framework corresponding to the built environment design module; Based on the multi-source heterogeneous geographical database, determine the third urban built environment assessment sub-framework corresponding to the destination accessibility module; Based on the multi-source heterogeneous geographical database, determine the fourth urban built environment assessment sub-framework corresponding to the public transportation accessibility module; Based on the multi-source heterogeneous geographical database, determine the fifth urban built environment assessment sub-framework corresponding to the built environment density module.

5. The method according to claim 1, wherein After generating the evaluation results of the urban human settlement built environment, it further includes: Based on the evaluation results of the urban human settlement built environment, determining the target problems and improvement spaces of the urban resident space in the target city; Optimizing the urban human settlement built environment in the target city according to the target problems and the improvement spaces.

6. An urban human settlement built environment assessment device combining multi-source heterogeneous geographical big data, characterized in that, It includes: An acquisition module, configured to acquire the target city social and environmental data of the target city, and perform data preprocessing on the target city social and environmental data to generate a multi-source heterogeneous geographic database; A determination module, configured to determine the urban built environment evaluation sub-framework corresponding to the target evaluation module of the built environment evaluation system in the target city based on the multi-source heterogeneous geographic database; An evaluation module, configured to construct a multi-dimensional urban human settlement built environment evaluation model based on the urban built environment evaluation sub-framework, and input the pre-investigated urban resident spatial location information in the target city into the multi-dimensional urban human settlement built environment evaluation model to output the evaluation results of the urban human settlement built environment.

7. The device according to claim 6, characterized in that, The acquisition module includes: An acquisition unit, configured to acquire the urban infrastructure data, urban land cover data, and public transportation network and facility data in the target city social and environmental data; A processing unit, configured to perform georegistration and projection processing on the vectors and rasters of the urban infrastructure data, the urban land cover data, and the public transportation network and facility data to obtain the processed multi-source data, and use the processed multi-source data to generate the multi-source heterogeneous geographic database.

8. An electronic device, characterized in that, It includes: A memory, a processor, and a computer program stored on the memory and executable on the processor, where the processor executes the program to implement the urban human settlement built environment evaluation method combining multi-source heterogeneous geographic big data as described in any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to be used to implement the urban human settlement built environment evaluation method combining multi-source heterogeneous geographic big data as described in any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, The computer program is executed by the processor to be used to implement the urban human settlement built environment evaluation method combining multi-source heterogeneous geographic big data as described in any one of claims 1-5.

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