A method, device and apparatus for evaluating urban space vitality using JANE criteria

Abstract

The present invention discloses a method, device and equipment for evaluating the vitality of urban space using the JANE criterion. The method comprises the following steps: S1, integrating multi-source big data; S2, proposing connotation characteristics of urban space vitality using the JANE criterion; the connotation characteristics include concentration, functional diversity, architectural diversity, contact opportunities, accessibility and distance from boundary vacuum; S3, calculating urban space vitality evaluation indicators; the evaluation indicators include population density, commercial facility density, public service facility density, building mix, residential-non-residential facility index, commercial facility mix, basic-non-basic facility index, average building age, standard deviation of building age, average house price, intersection density, sky openness, the shortest distance from residential area to public transportation station and the shortest distance from residential area to railway station and large park; S4, comprehensively evaluating the vitality of urban space based on the urban space vitality evaluation indicators.

Description

Technical Field

[0001] The present invention relates to the technical field of space vitality assessment, and in particular to a method, device and equipment for assessing urban space vitality using the JANE criterion. Background Art

[0002] The complexity of cities determines that spatial vitality assessment must take into account all aspects. In this regard, Jane Jacobs proposed the JANE criteria in The Death and Life of Great American Cities. The JANE criteria believe that a vibrant city needs to meet four conditions: first, the city should have more than one main function, preferably more than two, which helps the city attract and gather a large number of people; second, the blocks should be small, with relatively dense intersections, providing pedestrians with more convenient environments and walking conditions; third, the age, design and style of buildings should be diverse to meet the different needs of high- and low-rent users; fourth, there should be a sufficiently dense population. However, existing studies mainly characterize urban spatial vitality through the connotation characteristics of diversity or density. Urban spatial vitality is the result of a combination of various urban development, operation, governance and construction modes, and it is difficult to describe it with a simple and single connotation characteristic. In addition, most previous studies have used blocks, streets, cities and other scales as research units, making it difficult to finely characterize the internal differences in spatial vitality. Therefore, it has become an urgent need to explore an evaluation method that can not only solve the complexity of urban spatial vitality but also maintain the precision of spatial vitality. Summary of the invention

[0003] In order to solve the above problems, the present invention proposes a method, device and equipment for evaluating urban space vitality using the JANE criterion.

[0004] To achieve the above object, the present invention adopts the following technical solutions:

[0005] A method for evaluating urban space vitality using the JANE criterion includes the following steps:

[0006] S1, integrating multi-source big data;

[0007] S2. Using the JANE criteria, we propose the connotation characteristics of urban spatial vitality; the connotation characteristics include concentration, functional diversity, architectural diversity, contact opportunities, accessibility, and distance from boundary vacuum;

[0008] S3. Calculate the evaluation index of urban space vitality; the evaluation index includes population density, commercial facility density, public service facility density, building mix, residential-non-residential facility index, commercial facility mix, basic-non-basic facility index, average building age, standard deviation of building age, average housing price, intersection density, sky openness, the shortest distance from residential area to public transportation station, and the shortest distance from residential area to railway station and large park;

[0009] S4. Comprehensively evaluate the vitality of urban space based on the urban space vitality evaluation indicators;

[0010] The specific process of comprehensive evaluation of urban space vitality is as follows:

[0011] S41. The calculation formula of concentration index is: ;

[0012] In the formula, C is the concentration index; PD is the population density, CD is the commercial facility density, PFD is the public service facility density; z is the Z-score standardization;

[0013] S42. The calculation formula of functional diversity index is: ;

[0014] In the formula, FD is the functional diversity index; BFM is the building mix; RNR is the residential-non-residential facility index; CFX is the commercial facility mix; BNB is the basic-non-basic facility index;

[0015] S43. The calculation formula of the building diversity index is: ;

[0016] Where BD is the building diversity index; BAA is the average building age; DBA is the standard deviation of building age; ARR is the average house price;

[0017] S44. The calculation formula of the contact opportunity index is: ; In the formula, CO is the contact opportunity index; ID is the intersection density; O is the sky openness;

[0018] S45. The calculation formula of accessibility index is: ;

[0019] In the formula, A is the accessibility index; DPT is the shortest distance from the residential area to the public transportation station;

[0020] S46. The calculation formula for the distance from the boundary vacuum is: ;

[0021] Where DBV is the distance index to the boundary vacuum; DRLP is the shortest distance from the residential area to the railway station and large park;

[0022] S47. Input the calculated C, FD, BD, CO, A and DBV into the SOFM neural network, set the number of training runs to 2000, and obtain the comprehensive spatial distribution results of urban space vitality.

[0023] Preferably, the multi-source big data in step S1 includes Amap POI data, geographic conditions monitoring data, Baidu Street View data, 100-meter grid population density data and Lianjia housing information data; wherein, the acquired Amap POI data is divided into 6 categories, namely commercial facilities, public service facilities, residential facilities, non-residential facilities, basic facilities and non-basic facilities; residential community data is obtained from the geographic conditions monitoring data; street view image data is obtained from Baidu Street View data; 100-meter grid population density data comes from the data product after the WeChat positioning data and the Luojia No. 1 night light data are integrated; intersection data is extracted from Amap POI; building age and housing price data are obtained from Lianjia real estate information data.

[0024] Preferably, the large parks in step S3 include comprehensive parks, ecological parks, natural parks and historical gardens.

[0025] Preferably, the specific calculation process of step S3 is:

[0026] S31, population density uses 100-meter grid population density spatial data;

[0027] S32, commercial facility density, public service facility density and intersection density are all calculated using kernel density, unified into 100-meter grids. The kernel density calculation formula is: ;

[0028] Where f(x) is the kernel density function; h is the distance attenuation threshold; n is the number of point elements within the search distance; k() is the spatial weight function; d is is the distance from the center point i to point s, d is <h;

[0029] S33. The calculation method of building mixing degree and commercial facility mixing degree is the same, and the calculation formula is: ;

[0030] Where BFM is the building mix; CFX is the commercial facility mix; p a is the proportion of the first type to other types; m is the total number of types;

[0031] S34. The calculation method of the residential-non-residential facilities index and the basic-non-basic facilities index is the same, and the calculation formula is: ;

[0032] In the formula, RNR represents the residential-non-residential facilities index; BNB represents the basic-non-basic facilities index;

[0033] F b Indicates the type of residence or basic facilities; NonF b Indicates non-residential type or non-basic facility type; the value range of RNR and BNB is 0-1;

[0034] S35. The calculation method for the average value of the building age is the same as the calculation method for the average house price. The calculation formula is: ;

[0035] Where BAA is the average value of the building age; ARR is the average house price; j is the number of all buildings in a certain area or the number of all houses in a certain area; x c It is the construction year of a certain building in a certain area or the house price of a certain house in a certain area;

[0036] S36. The calculation formula for the standard deviation of building age is: ;

[0037] Where DBA is the standard deviation of building age; N is the total number of buildings; X d is the age of the dth building; BAA is the average age of the building;

[0038] S37. The calculation formula for sky openness is: ;

[0039] Where, O is the sky openness; N sky pixels is the number of sky pixels; N total pixels is the number of all pixels;

[0040] S38. The calculation of the shortest distance from a residential area to a public transportation station and the shortest distance from a residential area to a railway station and a large park is the same, and the calculation formula is: ;

[0041] Where DPT is the shortest distance from residential area to public transportation station; DRLP is the shortest distance from residential area to railway station and large park; C e( k) is the shortest distance between residential area e and the adjacent public transportation station k or the shortest distance between residential area e and the adjacent railway station and large park k; p is the total number of adjacent public transportation stations or the total number of adjacent railway stations and large parks to residential area e;

[0042] S39. Perform Z-Score standardization on the urban space vitality evaluation index, and the calculation formula is: ;

[0043] In the formula, z is the Z-score standardization; X is the individual observation value; is the mean of the overall data; is the standard deviation of the overall data.

[0044] An urban space vitality assessment device using the JANE criterion, comprising:

[0045] Integrate multi-source big data modules to integrate Amap POI data, geographic national conditions monitoring data, Baidu Street View data, 100-meter grid population density data, and Lianjia housing information data;

[0046] A connotative feature module is proposed to consider concentration, functional diversity, architectural diversity, contact opportunities, accessibility, and distance to boundary vacuum as connotative features of urban spatial vitality;

[0047] An index calculation module is used to calculate the urban space vitality evaluation index; the evaluation indexes include population density, commercial facility density, public service facility density, building mix, residential-non-residential facility index, commercial facility mix, basic-non-basic facility index, average building age, standard deviation of building age, average housing price, intersection density, sky openness, the shortest distance from residential area to public transportation station, and the shortest distance from residential area to railway station and large park;

[0048] Comprehensive evaluation module for urban space vitality, which is used to comprehensively evaluate urban space vitality based on urban space vitality evaluation indicators;

[0049] The specific process of comprehensive evaluation of urban space vitality is as follows:

[0050] S41. The calculation formula of concentration index is: ;

[0051] In the formula, C is the concentration index; PD is the population density, CD is the commercial facility density, PFD is the public service facility density; z is the Z-score standardization;

[0052] S42. The calculation formula of functional diversity index is: ;

[0053] In the formula, FD is the functional diversity index; BFM is the building mix; RNR is the residential-non-residential facility index; CFX is the commercial facility mix; BNB is the basic-non-basic facility index;

[0054] S43. The calculation formula of the building diversity index is: ;

[0055] Where BD is the building diversity index; BAA is the average building age; DBA is the standard deviation of building age; ARR is the average house price;

[0056] S44. The calculation formula of the contact opportunity index is: ; In the formula, CO is the contact opportunity index; ID is the intersection density; O is the sky openness;

[0057] S45. The calculation formula of accessibility index is: ;

[0058] In the formula, A is the accessibility index; DPT is the shortest distance from the residential area to the public transportation station;

[0059] S46. The calculation formula for the distance from the boundary vacuum is: ;

[0060] Where DBV is the distance index to the boundary vacuum; DRLP is the shortest distance from the residential area to the railway station and large park;

[0061] S47. Input the calculated C, FD, BD, CO, A and DBV into the SOFM neural network, set the number of training runs to 2000, and obtain the comprehensive spatial distribution results of urban space vitality.

[0062] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the urban space vitality assessment method using the JANE criterion.

[0063] A computer device comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the urban space vitality assessment method using the JANE criterion when executing the computer program.

[0064] After adopting the above technical solution, the present invention has the following beneficial effects:

[0065] 1. The present invention uses the JANE criterion to propose the connotation characteristics of urban space vitality, including concentration, functional diversity, architectural diversity, contact opportunities, accessibility and distance from boundary vacuum, and then uses the connotation characteristics of spatial vitality to construct evaluation indicators. On the scale of 100-meter grid, each evaluation indicator is calculated and the spatial vitality is evaluated, which can form a spatial vitality distribution pattern map and conduct a comprehensive and refined evaluation of urban space vitality.

[0066] 2. The present invention uses the JANE criterion to evaluate the urban spatial vitality from a comprehensive dimension. Compared with a single dimension, it solves the complexity characteristics of spatial vitality and avoids the problem of over-high or over-low spatial vitality evaluation results caused by the characteristics of the city itself.

[0067] 3. The present invention adopts a multi-source big data calculation evaluation index method, making full use of the advantages of multi-source big data with fine granularity and its ability to be used for research at different scales. It makes up for the defect that traditional census data is difficult to support detailed spatial granularity and improves the precision of depicting spatial vitality. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 A flow chart of the urban space vitality assessment method using the JANE criterion of the present invention;

[0069] Figure 2 It is a schematic diagram of the structure of the urban space vitality evaluation device using the JANE criterion of the present invention. DETAILED DESCRIPTION

[0070] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0071] like Figure 1 to Figure 2 As shown, a method for evaluating urban space vitality using the JANE criterion includes the following steps:

[0072] S1, integrating multi-source big data;

[0073] The multi-source big data in step S1 includes Amap POI data, geographic national conditions monitoring data, Baidu Street View data, 100-meter grid population density data and Lianjia housing information data; the Amap POI data obtained is divided into 6 categories, namely commercial facilities, public service facilities, residential facilities, non-residential facilities, basic facilities and non-basic facilities; residential community data is obtained from the geographic national conditions monitoring data; street view image data is obtained from Baidu Street View data; 100-meter grid population density data comes from the data product after the WeChat positioning data and the Luojia No. 1 night light data are integrated; intersection data is extracted from Amap POI; and intersection data is extracted from Lianjia The building age and housing price data are obtained from the real estate information data; among them, the geographical national conditions monitoring is to comprehensively use the global satellite navigation positioning technology (GNSS), aerospace remote sensing technology (RS), geographic information system technology (GIS), spatial statistics, cloud computing, communication and other technologies, integrate the existing surveying and mapping results archives of various periods, and conduct dynamic, quantitative and spatial monitoring of topography, water system, transportation, surface cover and other elements, and statistically analyze their changes, change frequencies, distribution characteristics, regional differences, change trends, etc., to form monitoring data, map graphics and research reports reflecting the spatial distribution of various resources, environment, ecology and economic elements and their development and change laws;

[0074] S2. Using the JANE criteria, we propose the connotation characteristics of urban spatial vitality; the connotation characteristics include concentration, functional diversity, architectural diversity, contact opportunities, accessibility, and distance from boundary vacuum;

[0075] S3. Calculate the evaluation index of urban space vitality; the evaluation index includes population density, commercial facility density, public service facility density, building mix, residential-non-residential facility index, commercial facility mix, basic-non-basic facility index, average building age, standard deviation of building age, average housing price, intersection density, sky openness, the shortest distance from residential area to public transportation station, and the shortest distance from residential area to railway station and large park;

[0076] The large parks in step S3 include comprehensive parks, ecological parks, natural parks and historical gardens;

[0077] The specific calculation process of step S3 is:

[0078] S31, population density uses 100-meter grid population density spatial data;

[0079] S32, commercial facility density, public service facility density and intersection density are all calculated using kernel density, unified into 100-meter grids. The kernel density calculation formula is: ;

[0080] Where f(x) is the kernel density function; h is the distance attenuation threshold; n is the number of point elements within the search distance; k() is the spatial weight function; d is is the distance from the center point i to point s, d is <h;

[0081] S33. The calculation method of building mixing degree and commercial facility mixing degree is the same, and the calculation formula is: ;

[0082] Where BFM is the building mix; CFX is the commercial facility mix; p a is the proportion of the first type to other types; m is the total number of types;

[0083] S34. The calculation method of the residential-non-residential facilities index and the basic-non-basic facilities index is the same, and the calculation formula is: ;

[0084] In the formula, RNR represents the residential-non-residential facilities index; BNB represents the basic-non-basic facilities index;

[0085] F b Indicates the type of residence or basic facilities; NonF bIndicates non-residential type or non-basic facility type; the value range of RNR and BNB is 0-1;

[0086] S35. The calculation method for the average value of the building age is the same as the calculation method for the average house price. The calculation formula is: ;

[0087] Where BAA is the average value of the building age; ARR is the average house price; j is the number of all buildings in a certain area or the number of all houses in a certain area; x c It is the construction year of a certain building in a certain area or the house price of a certain house in a certain area;

[0088] S36. The calculation formula for the standard deviation of building age is: ;

[0089] Where DBA is the standard deviation of building age; N is the total number of buildings; X d is the age of the dth building; BAA is the average age of the building;

[0090] S37. The calculation formula for sky openness is: ;

[0091] Where, O is the sky openness; N sky pixels is the number of sky pixels; N total pixels is the number of all pixels;

[0092] S38. The calculation of the shortest distance from a residential area to a public transportation station and the shortest distance from a residential area to a railway station and a large park is the same, and the calculation formula is: ; Where DPT is the shortest distance from residential area to public transportation station; DRLP is the shortest distance from residential area to railway station and large park; C e( k) is the shortest distance between residential area e and the adjacent public transportation station k or the shortest distance between residential area e and the adjacent railway station and large park k; p is the total number of adjacent public transportation stations or the total number of adjacent railway stations and large parks to residential area e;

[0093] S39. Perform Z-Score standardization on the urban space vitality evaluation index, and the calculation formula is: ;

[0094] In the formula, z is the Z-score standardization; X is the individual observation value; is the mean of the overall data; is the standard deviation of the overall data;

[0095] Table 1 shows the connotation characteristics and evaluation indicators of urban space vitality;

[0096] Table 1: Connotation characteristics and evaluation indicators of urban space vitality

[0097]

[0098] S4. Comprehensively evaluate the vitality of urban space based on the urban space vitality evaluation indicators;

[0099] The specific process of comprehensive evaluation of urban space vitality is as follows:

[0100] S41. The calculation formula of concentration index is: ;

[0101] In the formula, C is the concentration index; PD is the population density, CD is the commercial facility density, PFD is the public service facility density; z is the Z-score standardization;

[0102] S42. The calculation formula of functional diversity index is: ;

[0103] In the formula, FD is the functional diversity index; BFM is the building mix; RNR is the residential-non-residential facility index; CFX is the commercial facility mix; BNB is the basic-non-basic facility index;

[0104] S43. The calculation formula of the building diversity index is: ;

[0105] Where BD is the building diversity index; BAA is the average building age; DBA is the standard deviation of building age; ARR is the average house price;

[0106] S44. The calculation formula of the contact opportunity index is: ; In the formula, CO is the contact opportunity index; ID is the intersection density; O is the sky openness;

[0107] S45. The calculation formula of accessibility index is: ;

[0108] In the formula, A is the accessibility index; DPT is the shortest distance from the residential area to the public transportation station;

[0109] S46. The calculation formula for the distance from the boundary vacuum is: ;

[0110] Where DBV is the distance index to the boundary vacuum; DRLP is the shortest distance from the residential area to the railway station and large park;

[0111] S47. Input the calculated C, FD, BD, CO, A and DBV into the SOFM neural network, set the number of training runs to 2000, and obtain the comprehensive spatial distribution results of urban space vitality.

[0112] An urban space vitality assessment device using the JANE criterion, comprising:

[0113] Integrate multi-source big data modules to integrate Amap POI data, geographic national conditions monitoring data, Baidu Street View data, 100-meter grid population density data, and Lianjia housing information data;

[0114] A connotative feature module is proposed to consider concentration, functional diversity, architectural diversity, contact opportunities, accessibility, and distance to boundary vacuum as connotative features of urban spatial vitality;

[0115] An index calculation module is used to calculate the urban space vitality evaluation index; the evaluation indexes include population density, commercial facility density, public service facility density, building mix, residential-non-residential facility index, commercial facility mix, basic-non-basic facility index, average building age, standard deviation of building age, average housing price, intersection density, sky openness, the shortest distance from residential area to public transportation station, and the shortest distance from residential area to railway station and large park;

[0116] Comprehensive evaluation module for urban space vitality, which is used to comprehensively evaluate urban space vitality based on urban space vitality evaluation indicators;

[0117] The specific process of comprehensive evaluation of urban space vitality is as follows:

[0118] S41. The calculation formula of concentration index is: ;

[0119] In the formula, C is the concentration index; PD is the population density, CD is the commercial facility density, PFD is the public service facility density; z is the Z-score standardization;

[0120] S42. The calculation formula of functional diversity index is: ;

[0121] In the formula, FD is the functional diversity index; BFM is the building mix; RNR is the residential-non-residential facility index; CFX is the commercial facility mix; BNB is the basic-non-basic facility index;

[0122] S43. The calculation formula of the building diversity index is: ;

[0123] Where BD is the building diversity index; BAA is the average building age; DBA is the standard deviation of building age; ARR is the average house price;

[0124] S44. The calculation formula of the contact opportunity index is: ; In the formula, CO is the contact opportunity index; ID is the intersection density; O is the sky openness;

[0125] S45. The calculation formula of accessibility index is: ;

[0126] In the formula, A is the accessibility index; DPT is the shortest distance from the residential area to the public transportation station;

[0127] S46. The calculation formula for the distance from the boundary vacuum is: ;

[0128] Where DBV is the distance index to the boundary vacuum; DRLP is the shortest distance from the residential area to the railway station and large park;

[0129] S47. Input the calculated C, FD, BD, CO, A and DBV into the SOFM neural network, set the number of training runs to 2000, and obtain the comprehensive spatial distribution results of urban space vitality.

[0130] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the urban space vitality assessment method using the JANE criterion.

[0131] A computer device comprises a processor, a memory and a computer program stored in the memory and configured to be executed by the processor, wherein the processor implements the urban space vitality assessment method using the JANE criterion when executing the computer program.

[0132] The above is only a preferred specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by a person skilled in the art within the technical scope disclosed by the present invention should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for evaluating urban space vitality using the JANE criterion, characterized in that: The following steps are involved: S1, integrating multi-source big data; S2. Using the JANE criteria, we propose the connotation characteristics of urban spatial vitality; the connotation characteristics include concentration, functional diversity, architectural diversity, contact opportunities, accessibility, and distance from boundary vacuum; S3. Calculate the evaluation index of urban space vitality; the evaluation index includes population density, commercial facility density, public service facility density, building mix, residential-non-residential facility index, commercial facility mix, basic-non-basic facility index, average building age, standard deviation of building age, average housing price, intersection density, sky openness, the shortest distance from residential area to public transportation station, and the shortest distance from residential area to railway station and large park; S4. Comprehensively evaluate the vitality of urban space based on the urban space vitality evaluation indicators; The specific process of comprehensive evaluation of urban space vitality is as follows: S41. The calculation formula of concentration index is: ; In the formula, C is the concentration index; PD is the population density, CD is the commercial facility density, PFD is the public service facility density; z is the Z-score standardization; S42. The calculation formula of functional diversity index is: ; In the formula, FD is the functional diversity index; BFM is the building mix; RNR is the residential-non-residential facility index; CFX is the commercial facility mix; BNB is the basic-non-basic facility index; S43. The calculation formula of the building diversity index is: ; Where BD is the building diversity index; BAA is the average building age; DBA is the standard deviation of building age; ARR is the average house price; S44. The calculation formula of the contact opportunity index is: ; In the formula, CO is the contact opportunity index; ID is the intersection density; O is the sky openness; S45. The calculation formula of accessibility index is: ; In the formula, A is the accessibility index; DPT is the shortest distance from the residential area to the public transportation station; S46. The calculation formula for the distance from the boundary vacuum is: ; Where DBV is the distance index to the boundary vacuum; DRLP is the shortest distance from the residential area to the railway station and large park; S47. Input the calculated C, FD, BD, CO, A and DBV into the SOFM neural network, set the number of training runs to 2000, and obtain the comprehensive spatial distribution results of urban space vitality.

2. The urban space vitality assessment method using the JANE criterion as claimed in claim 1, characterized in that: The multi-source big data described in step S1 includes Amap POI data, geographic conditions monitoring data, Baidu Street View data, 100-meter grid population density data and Lianjia housing information data; wherein, the acquired Amap POI data is divided into 6 categories, namely commercial facilities, public service facilities, residential facilities, non-residential facilities, basic facilities and non-basic facilities; residential community data is obtained from the geographic conditions monitoring data; street view image data is obtained from Baidu Street View data; 100-meter grid population density data comes from the data product after the WeChat positioning data and the Luojia No. 1 night light data are integrated; intersection data is extracted from Amap POI; building age and housing price data are obtained from Lianjia real estate information data.

3. The urban space vitality assessment method using the JANE criterion as claimed in claim 1, characterized in that: The large parks in step S3 include comprehensive parks, ecological parks, natural parks and historical gardens.

4. The urban space vitality evaluation method using the JANE criterion as claimed in claim 1, characterized in that: The specific calculation process of step S3 is: S31, population density uses 100-meter grid population density spatial data; S32, commercial facility density, public service facility density and intersection density are all calculated using kernel density, unified into 100-meter grids. The kernel density calculation formula is: ; Where f(x) is the kernel density function; h is the distance attenuation threshold; n is the number of point elements within the search distance; k() is the spatial weight function; d is is the distance from the center point i to point s, d is < h; S33. The calculation method of building mixing degree and commercial facility mixing degree is the same, and the calculation formula is: ; Where BFM is the building mix; CFX is the commercial facility mix; p a is the proportion of the first type to other types; m is the total number of types; S34. The calculation method of the residential-non-residential facilities index and the basic-non-basic facilities index is the same, and the calculation formula is: ; In the formula, RNR represents the residential-non-residential facilities index; BNB represents the basic-non-basic facilities index; F b Indicates the type of residence or basic facilities; NonF b Indicates non-residential type or non-basic facility type; the value range of RNR and BNB is 0-1; S35. The calculation method for the average value of the building age is the same as the calculation method for the average house price. The calculation formula is: ; Where BAA is the average value of the building age; ARR is the average house price; j is the number of all buildings in a certain area or the number of all houses in a certain area; x c It is the construction year of a certain building in a certain area or the house price of a certain house in a certain area; S36. The calculation formula for the standard deviation of building age is: ; Where DBA is the standard deviation of building age; N is the total number of buildings; X d is the age of the dth building; BAA is the average age of the building; S37. The calculation formula for sky openness is: ; Where, O is the sky openness; N sky pixels is the number of sky pixels; N total pixels is the number of all pixels; S38. The calculation of the shortest distance from a residential area to a public transportation station and the shortest distance from a residential area to a railway station and a large park is the same, and the calculation formula is: ; Where DPT is the shortest distance from residential area to public transportation station; DRLP is the shortest distance from residential area to railway station and large park; C e( k) is the shortest distance between residential area e and the adjacent public transportation station k or the shortest distance between residential area e and the adjacent railway station and large park k; p is the total number of adjacent public transportation stations or the total number of adjacent railway stations and large parks to residential area e; S39. Perform Z-Score standardization on the urban space vitality evaluation index, and the calculation formula is: ; In the formula, z is the Z-score standardization; X is the individual observation value; is the mean of the overall data; is the standard deviation of the overall data.

5. An urban space vitality assessment device using the JANE criterion, characterized in that: include: Integrate multi-source big data modules to integrate Amap POI data, geographic national conditions monitoring data, Baidu Street View data, 100-meter grid population density data, and Lianjia housing information data; A connotative feature module is proposed to consider concentration, functional diversity, architectural diversity, contact opportunities, accessibility, and distance to boundary vacuum as connotative features of urban spatial vitality; An index calculation module is used to calculate the urban space vitality evaluation index; the evaluation indexes include population density, commercial facility density, public service facility density, building mix, residential-non-residential facility index, commercial facility mix, basic-non-basic facility index, average building age, standard deviation of building age, average housing price, intersection density, sky openness, the shortest distance from residential area to public transportation station, and the shortest distance from residential area to railway station and large park; Comprehensive evaluation module for urban space vitality, which is used to comprehensively evaluate urban space vitality based on urban space vitality evaluation indicators; The specific process of comprehensive evaluation of urban space vitality is as follows: S41. The calculation formula of concentration index is: ; In the formula, C is the concentration index; PD is the population density, CD is the commercial facility density, PFD is the public service facility density; z is the Z-score standardization; S42. The calculation formula of functional diversity index is: ; In the formula, FD is the functional diversity index; BFM is the building mix; RNR is the residential-non-residential facility index; CFX is the commercial facility mix; BNB is the basic-non-basic facility index; S43. The calculation formula of the building diversity index is: ; Where BD is the building diversity index; BAA is the average building age; DBA is the standard deviation of building age; ARR is the average house price; S44. The calculation formula of the contact opportunity index is: ; In the formula, CO is the contact opportunity index; ID is the intersection density; O is the sky openness; S45. The calculation formula of accessibility index is: ; In the formula, A is the accessibility index; DPT is the shortest distance from the residential area to the public transportation station; S46. The calculation formula for the distance from the boundary vacuum is: ; Where DBV is the distance index to the boundary vacuum; DRLP is the shortest distance from the residential area to the railway station and large park; S47. Input the calculated C, FD, BD, CO, A and DBV into the SOFM neural network, set the number of training runs to 2000, and obtain the comprehensive spatial distribution results of urban space vitality.

6. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method for evaluating urban space vitality using the JANE criterion as described in any one of claims 1 to 4 is implemented.

7. A computer device, characterized in that: The method comprises a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor, wherein when the processor executes the computer program, the method for evaluating the vitality of an urban space using the JANE criterion as described in any one of claims 1 to 4 is implemented.

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