A method for evaluating the convenience of community life based on network map services

Abstract

The present invention discloses a community life convenience evaluation method based on network map service, which is applicable to the community life convenience evaluation at the city level, including: using a keyword search interface to obtain the commercial community and life service facility data of the study area; assigning weights according to the number of life service facilities, and establishing a life convenience evaluation system; using a buffer zone analysis method to screen potential accessible facilities, and obtaining the walking time between the community and the life service facilities through a path planning interface; based on the opportunity accumulation method, introducing a Gaussian decay function to calculate the community life convenience. The present invention makes full use of the characteristics of large data volume, high precision, and fast update of network map services, and incorporates the distance between the community and the public service facilities into the community life convenience evaluation through the Gaussian decay function, thereby improving the accuracy of the evaluation method.

Description

Technical Field

[0001] The present invention relates to a community life convenience evaluation method based on network map service, belonging to the technical field of community life convenience evaluation. Background Art

[0002] Since the Shanghai master plan proposed the concept of "15-minute community life circle", various cities have responded and actively carried out the planning practice of "15-minute community life circle". Community life convenience refers to the convenience of community residents to use public service facilities and enjoy services, which can provide an important reference for evaluating the planning of "15-minute community life circle".

[0003] However, in previous studies, community living convenience evaluation methods often use buffer analysis or network analysis when measuring the accessibility of public facilities. The estimated time cost between the community and public service facilities is quite different from the actual situation. In addition, the community living convenience is often expressed in terms of the number of accessible facilities, without considering the impact of walking time cost on living convenience. Summary of the invention

[0004] The technical problem to be solved by the present invention is: to provide a community life convenience evaluation method based on network map service, use network map service to provide more accurate time cost estimation, and introduce the time cost estimation into the calculation of community life convenience through Gaussian decay function, so as to improve the accuracy of community life convenience.

[0005] The present invention adopts the following technical solutions to solve the above technical problems:

[0006] A method for evaluating the convenience of community life based on network map services includes the following steps:

[0007] Step 1, obtaining the commercial district and life service facility data within the area to be evaluated, and preprocessing the commercial district and life service facility data;

[0008] Step 2: Classify and count the pre-processed life service facility data according to the facility type, assign weights based on the ratio of the number of life service facilities in each category to the total number of all life service facilities, and establish a community life convenience evaluation system;

[0009] Step 3: Use the buffer analysis method to screen potential accessible facilities and obtain the walking cost data between each commercial community and life service facilities;

[0010] Step 4: Based on the opportunity accumulation method, the Gaussian decay function is introduced to calculate the convenience of community life;

[0011] Step 5, perform inverse distance weighted interpolation on the community living convenience calculated in step 4, and use the natural breakpoint method to represent it to produce a thematic map of community living convenience.

[0012] As a preferred embodiment of the present invention, the specific process of step 1 is as follows:

[0013] 1.1, construct a keyword search interface request, the specific parameters include: request service authority identifier, query keyword, query point of interest type, query city and current page number, send a request and receive a response message;

[0014] 1.2, parse the response message received in 1.1, obtain the attribute data of the point of interest including: unique ID, name, point of interest type code, longitude, latitude and timestamp, and store the data in the database;

[0015] 1.3. Clean and deduplicate the data stored in 1.2 in the database to remove data with duplicate IDs or locations;

[0016] 1.4, the coordinate system of the data cleaned and deduplicated in 1.3 is converted from GCJ-02 to WGS-84 through an iterative algorithm.

[0017] As a preferred solution of the present invention, the specific process of step 3 is as follows:

[0018] 3.1. Establish a 1,000-meter buffer zone for each commercial area, and perform an overlay analysis with the data of living service facilities to screen potential accessible living service facilities within a 15-minute straight-line walking distance;

[0019] 3.2, construct a walking path planning request for the potential accessible life service facilities screened out in 3.1, with specific parameters including: request service authority identifier, starting point and destination, where the starting point and destination are expressed in the form of longitude and latitude, send a request and receive a response message;

[0020] 3.3. Parse the response message received in 3.2 to obtain the walking cost data including: starting point, destination, walking distance, and estimated walking time.

[0021] As a preferred solution of the present invention, the specific process of 3.1 is as follows:

[0022] The commercial district data and life service facility data are geographically projected, and then the commercial district data are traversed to create a buffer zone graphic for each commercial district. The life service facility data are traversed again to determine the spatial relationship between the life service facilities and the buffer zone graphic, and the life service facilities that are completely located within the buffer zone graphic are screened. Finally, the corresponding relationship between the commercial district and the potentially accessible facilities is obtained.

[0023] As a preferred solution of the present invention, the specific process of step 4 is as follows:

[0024] Substitute the walking cost data obtained in step 3 into the calculation formula for community living convenience, and the calculation formula is as follows:

[0025]

[0026]

[0027]

[0028] Among them, A i represents the living convenience of commercial district i, X ij represents the accessibility of the jth type of life service facilities in commercial community i, m is the number of types of life service facilities, W j represents the weight of the j-th type of life service facilities, n is the number of the j-th type of life service facilities accessible to commercial community i, G(t k ,t 0 ) represents the accessibility of life service facility k, and the walking time t from commercial community i to life service facility k k Calculated by Gaussian decay function, t 0 Indicates the time threshold, which is 15 minutes in the community life convenience evaluation.

[0029] Compared with the prior art, the present invention adopts the above technical solution and has the following technical effects:

[0030] 1. The present invention obtains POI data and route planning data through network map services. The data has high accuracy and is highly current. In addition, network map service providers continuously iterate and optimize the route planning model based on real traffic conditions and user feedback data, and the accuracy of route planning time estimation is guaranteed.

[0031] 2. When establishing a community life convenience evaluation system, the present invention determines the weights according to the number of various types of life service facilities in the city, thus avoiding the problem of underestimation of facility scale and service capacity by expert experience methods.

[0032] 3. The present invention introduces a Gaussian decay function to add the walking time cost estimate into the calculation of the community life convenience index, taking into account the impact of the distance to life service facilities on life convenience.

[0033] 4. The method of the present invention can effectively improve the accuracy of the calculation of the community life convenience index and provide reliable support for the evaluation of the "15-minute community life circle" planning. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1It is an implementation flow chart of the community life convenience evaluation method based on network map service of the present invention;

[0035] Figure 2 is a diagram of potentially accessible living service facilities taking "Kunlun Community" as an example in an embodiment of the present invention;

[0036] Figure 3 This is a diagram of accessible living service facilities and accessible ranges, taking “Kunlun Community” as an example in an embodiment of the present invention;

[0037] Figure 4 This is a distribution map of the community life convenience index of the commercial district in Urumqi according to an embodiment of the present invention. DETAILED DESCRIPTION

[0038] The embodiments of the present invention are described in detail below, and examples of the embodiments are shown in the accompanying drawings. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be interpreted as limiting the present invention.

[0039] The present invention utilizes the characteristics of large data volume, high precision and fast update of network map services, uses keyword search and path planning interface to obtain high-precision and high-accuracy POI data and path planning data, and considers the walking time cost in the evaluation of community life convenience. It is a more accurate and more in line with real life community life convenience evaluation method.

[0040] like Figure 1 The figure is a flowchart of the implementation of the community life convenience evaluation method based on network map service of the present invention. The following selects Urumqi as the research area to elaborate on the implementation process of the present invention.

[0041] Step 1: Use the keyword search interface to obtain the commercial district and life service facility data in the study area and perform relevant processing on them. The specific steps are as follows:

[0042] 1.1, construct a keyword search interface request, the specific parameters include: key (request service permission identifier), keywords (query keyword), types (query POI type), city (query city), page (current page number), send a request and receive a response message;

[0043] 1.2, parse the response message received in step 1.1, obtain the attributes of the point of interest including: id (unique id), name (name), typecode (point of interest type code), longitude (longitude), latitude (latitude), timestamp (timestamp), and store the data in the database, as shown in Table 1;

[0044] Table 1 Description of interest point dataset

[0045]

[0046]

[0047] 1.3, clean and deduplicate the data stored in step 1.2 in the database, and remove data with duplicate IDs or duplicate locations;

[0048] 1.4, transform the coordinate system of the data obtained in step 1.3 from GCJ-02 to WGS-84 through an iterative algorithm.

[0049] Step 2: categorize and count the life service facility data obtained in step 1 by type, assign weights according to the ratio of the number of facilities in each category to the total number of facilities, and establish a community life convenience evaluation system, as shown in Table 2;

[0050] Table 2 Community life convenience evaluation system

[0051]

[0052]

[0053] Step 3: Use the buffer analysis and path planning interface to obtain the walking time from the community to the living service facilities. The specific steps are as follows:

[0054] 3.1. Establish a 1000-meter (15-minute walking distance) buffer zone for each commercial community point, and do an overlay analysis with the data of life service facilities to select life service facilities within a 15-minute straight-line walking distance. Taking "Kunlun Community" as an example, the screening results are as follows: Figure 2 As shown;

[0055] Among them, the specific method of screening potential accessible facilities is as follows: perform geographic projection on the commercial community data and life service facility data, then traverse the commercial community data, create a buffer zone graphic for each commercial community, and then traverse the life service facility data to determine the spatial relationship between the life service facilities and the buffer zone graphic, screen the life service facilities that are completely located within the buffer zone graphic, and finally obtain the corresponding relationship between the commercial community and the potential accessible facilities.

[0056] 3.2, construct a walking path planning request for the potential accessible facilities screened in step 3.1, and the specific parameters include: key (request service authority identifier), origin (starting point), and destination (destination), where the starting point and destination are expressed in the form of longitude and latitude;

[0057] 3.3, parse the response message received in step 3.2, and obtain the walking cost data including: origin (origin), destination (destination), distance (walking distance), and duration (estimated walking time).

[0058] Step 4: Substitute the walking cost data obtained in step 3 into the calculation formula of community living convenience, which is as follows:

[0059]

[0060]

[0061]

[0062] Among them, A i represents the living convenience of commercial district i, X ij represents the accessibility of the j-th type of life service facilities in commercial community i, W j represents the weight of the j-th type of life service facilities, G(t k ,t 0 ) represents the accessibility of life service facility k, and the walking time t from commercial community i to life service facility k k Calculated by Gaussian decay function, t 0 Indicates the time threshold, which is 15 minutes in the community life convenience evaluation.

[0063] Taking "Kunlun Community" as an example, the life convenience index is 18.71. The accessible life service facilities and their ranges obtained according to the method of the present invention are as follows: Figure 3 shown.

[0064] Step 5: Perform inverse distance weighted interpolation on the data of community living convenience calculated in step 4, and use the natural breakpoint method to produce a community living convenience thematic map as a visual display of the living convenience evaluation, such as Figure 4 shown.

[0065] The above embodiments are only for illustrating the technical idea of ​​the present invention, and cannot be used to limit the protection scope of the present invention. Any changes made on the basis of the technical solution in accordance with the technical idea proposed by the present invention shall fall within the protection scope of the present invention.

Claims

1. A method for evaluating the convenience of community life based on network map services, characterized by comprising the following steps: Step 1: Obtain the commercial district and life service facility data within the area to be evaluated, and pre-process the commercial district and life service facility data; the specific process is as follows: 1.1, construct a keyword search interface request, the specific parameters include: request service authority identifier, query keyword, query point of interest type, query city and current page number, send a request and receive a response message; 1.

2. Parse the response message received in 1.1 to obtain the attribute data of the point of interest, including: Unique id, name, POI type code, longitude, latitude and timestamp, and store the data in the database; 1.

3. Clean and deduplicate the data stored in 1.2 in the database to remove data with duplicate IDs or locations; 1.4, the coordinate system of the data cleaned and deduplicated in 1.3 is converted from GCJ-02 to WGS-84 through an iterative algorithm; Step 2: Classify and count the pre-processed life service facility data according to the facility type, assign weights based on the ratio of the number of life service facilities in each category to the total number of all life service facilities, and establish a community life convenience evaluation system; Step 3: Use the buffer analysis method to screen potential accessible facilities and obtain the walking cost data between each commercial community and life service facilities; The specific process is as follows: 3.

1. Establish a 1,000-meter buffer zone for each commercial area, and perform an overlay analysis with the data of living service facilities to screen potential accessible living service facilities within a 15-minute straight-line walking distance; 3.2, construct a walking path planning request for the potential accessible life service facilities screened out in 3.1, with specific parameters including: request service authority identifier, starting point and destination, where the starting point and destination are expressed in the form of longitude and latitude, send a request and receive a response message; 3.3, parse the response message received in 3.2, and obtain the walking cost data including: starting point, destination, walking distance, and estimated walking time; Step 4: Based on the opportunity accumulation method, introduce the Gaussian decay function to calculate the convenience of community life; the specific process is as follows: Substitute the walking cost data obtained in step 3 into the calculation formula for community living convenience, and the calculation formula is as follows: Among them, A i represents the living convenience of commercial district i, X ij represents the accessibility of the jth type of life service facilities in commercial community i, m is the number of types of life service facilities, W j represents the weight of the j-th type of life service facilities, n is the number of the j-th type of life service facilities accessible to commercial community i, G(t k ,t0) represents the accessibility of life service facility k, and the walking time t from commercial community i to life service facility k k Calculated by Gaussian decay function, t0 represents the time threshold, which is 15 minutes in the evaluation of community living convenience; Step 5, perform inverse distance weighted interpolation on the community living convenience calculated in step 4, and use the natural breakpoint method to represent it to produce a thematic map of community living convenience.

2. The community life convenience evaluation method based on network map service according to claim 1 is characterized in that: The specific process of 3.1 is as follows: The commercial district data and life service facility data are geographically projected, and then the commercial district data are traversed to create a buffer zone graphic for each commercial district. The life service facility data are traversed again to determine the spatial relationship between the life service facilities and the buffer zone graphic, and the life service facilities that are completely located within the buffer zone graphic are screened. Finally, the corresponding relationship between the commercial district and the potentially accessible facilities is obtained.

Images