Backward street economic potential evaluation method, device, equipment, storage medium and product

Abstract

The invention discloses a posterior street economic potential evaluation method, device and equipment, a storage medium and a product. The method comprises the steps of obtaining related data of posterior street economy of a target area; wherein the related data comprises the spatial data and the urban industrial economic data; determining an evaluation index of the rear street economic potential of the target area according to the related data, and constructing a rear street economic potential evaluation system of the target area according to the evaluation index; and evaluating the target area by using the target area rear street economic potential evaluation system to obtain a target area rear street economic potential evaluation result. According to the method, evaluation indexes conforming to the rear street economy of the target area can be selected, and a rear street economic potential evaluation system of the target area is constructed to evaluate the rear street economic potential of the target area.

Description

Technical Field

[0001] The present invention relates to the technical field of backstreet economy, and particularly to a method, device, equipment, storage medium and product for evaluating the potential of backstreet economy. Background Art

[0002] Since the backstreet economy belongs to an emerging economic development model, there are relatively few relevant technologies at home and abroad at present. There is a lack of research on the spatial form and development model of backstreets. The existing technologies do not have evaluation technologies related to the backstreet economy, making it difficult to conduct quantitative and scientific analysis of the backstreet economy. There are no implementation practice planning cases in China, and there is little research available for reference. A scientific and mature evaluation model has not been formed yet. Summary of the Invention

[0003] The present invention provides a method, device, equipment, storage medium and product for evaluating the potential of backstreet economy, selects evaluation indicators that conform to the backstreet economy of the target area, and constructs an evaluation system for the potential of backstreet economy in the target area to evaluate the potential of backstreet economy in the target area.

[0004] To achieve the above object, an embodiment of the present invention provides a method for evaluating the potential of backstreet economy, including:

[0005] Obtaining relevant data of the backstreet economy in the target area; wherein, the relevant data includes the spatial data and urban industrial economic data;

[0006] Determining evaluation indicators for the potential of the backstreet economy in the target area according to the relevant data, and constructing an evaluation system for the potential of the backstreet economy in the target area according to the evaluation indicators;

[0007] Evaluating the target area by using the evaluation system for the potential of the backstreet economy in the target area to obtain an evaluation result of the potential of the backstreet economy in the target area.

[0008] As an improvement of the above solution, the obtaining of the relevant data of the backstreet economy in the target area includes:

[0009] Collecting multi-source data of the backstreet economy in the target area, cleaning and processing the multi-source data to obtain relevant data of the backstreet economy in the target area.

[0010] As an improvement of the above solution, the determining of the evaluation indicators for the potential of the backstreet economy in the target area according to the relevant data, and constructing an evaluation system for the potential of the backstreet economy in the target area according to the evaluation indicators includes:

[0011] Calculating evaluation indicators for the potential of the backstreet economy in the target area according to the relevant data, performing normalization processing on the evaluation indicators, and calculating the weights of the normalized evaluation indicators; wherein, the evaluation indicators include four types: spatial quality, industrial economy, historical culture and social vitality.

[0012] Construct an evaluation system for the economic potential of backstreets in the target area based on the normalized evaluation indicators and their corresponding weights.

[0013] As an improvement to the above solution, the spatial quality type includes four evaluation indicators: building space vitality, concentration of public housing resources, accessibility of streets and alleys, and density of bus services.

[0014] Among them, the calculation formula for the concentration of public housing resources is:

[0015]

[0016] In the formula, B p is the density score of public housing resource points in the p-th backstreet space, E p is the comprehensive value of public housing resource points in the p-th backstreet space; S p is the total area of the p-th backstreet space.

[0017] As an improvement to the above solution, the industrial economy type includes three evaluation indicators: function density, function mixing degree, and commercial public perception.

[0018] Among them, the calculation formula for the function density is:

[0019]

[0020] In the formula, F pt is the density score of POI data points of the t-th type of facility points in the p-th backstreet space; P t is the comprehensive value of POI points of the t-th type of facility points.

[0021] As an improvement to the above solution, the historical and cultural type includes three evaluation indicators: historical and cultural blocks, cultural protection units, and historical buildings.

[0022] The social vitality type includes two evaluation indicators: intensity of population vitality and volatility of population vitality.

[0023] Among them, the calculation formula for the intensity of population vitality is:

[0024]

[0025] In the formula, V i is the value of the intensity of population vitality of the i-th backstreet space unit, G iw is the heat map vector data of the i-th backstreet space unit at the w-th moment, m is the number of measurements of the heat map vector data, S i is the area of the i-th backstreet space unit.

[0026] To achieve the above object, an embodiment of the present invention provides a backstreet economy potential evaluation device, including:

[0027] A relevant data acquisition module for acquiring relevant data of the backstreet economy in the target area; wherein, the relevant data includes the spatial data and urban industrial economic data;

[0028] An evaluation system construction module for determining evaluation indicators of the backstreet economy potential in the target area according to the relevant data, and constructing an evaluation system for the backstreet economy potential in the target area according to the evaluation indicators;

[0029] An evaluation result acquisition module for evaluating the target area by using the evaluation system for the backstreet economy potential in the target area to obtain an evaluation result of the backstreet economy potential in the target area.

[0030] To achieve the above object, an embodiment of the present invention correspondingly provides a backstreet economy potential evaluation device, including a processor, a memory, and a computer program stored in the memory and configured to be executed by the processor. When the processor executes the computer program, the above-mentioned backstreet economy potential evaluation method is implemented.

[0031] To achieve the above object, an embodiment of the present invention further provides a computer-readable storage medium. The computer-readable storage medium includes a stored computer program. Wherein, when the computer program runs, it controls the device where the computer-readable storage medium is located to execute the above-mentioned backstreet economy potential evaluation method.

[0032] To achieve the above object, an embodiment of the present invention further provides a computer program product. The computer program product is stored in a storage medium, and the program product is executed by at least one processor to implement the steps of the above-mentioned backstreet economy potential evaluation method.

[0033] Compared with the prior art, a backstreet economy potential evaluation method, device, equipment, storage medium and product disclosed in an embodiment of the present invention obtain relevant data of the backstreet economy in the target area; wherein, the relevant data includes the spatial data and urban industrial economic data; determine evaluation indicators of the backstreet economy potential in the target area according to the relevant data, and construct an evaluation system for the backstreet economy potential in the target area according to the evaluation indicators; evaluate the target area by using the evaluation system for the backstreet economy potential in the target area to obtain an evaluation result of the backstreet economy potential in the target area. It can select evaluation indicators that conform to the backstreet economy in the target area and construct an evaluation system for the backstreet economy potential in the target area to evaluate the backstreet economy potential in the target area. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1It is a schematic flowchart of a method for evaluating the potential of backstreet economy provided by an embodiment of the present invention;

[0035] Figure 2 It is a schematic structural diagram of a device for evaluating the potential of backstreet economy provided by an embodiment of the present invention;

[0036] Figure 3 It is a structural block diagram of a device for evaluating the potential of backstreet economy provided by an embodiment of the present invention. Detailed implementation manners

[0037] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0038] It should be noted that the terms "including" and "specific" in the present invention and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product, or device that includes a series of steps or units does not necessarily have to be limited to those clearly listed steps or units, but may include other steps or units not clearly listed or inherent to these processes, methods, products, or devices.

[0039] Please refer to Figure 1 , Figure 1 It is a schematic flowchart of a method for evaluating the potential of backstreet economy provided by an embodiment of the present invention. The method for evaluating the potential of backstreet economy includes:

[0040] S1. Obtain relevant data on the backstreet economy of the target area; wherein, the relevant data includes the spatial data and urban industrial economic data;

[0041] S2. Determine the evaluation indicators for the potential of the backstreet economy in the target area according to the relevant data, and construct an evaluation system for the potential of the backstreet economy in the target area according to the evaluation indicators;

[0042] S3. Evaluate the target area by using the evaluation system for the potential of the backstreet economy in the target area to obtain the evaluation result of the potential of the backstreet economy in the target area.

[0043] Exemplarily, multi-source data of the backstreet economy in the target area is collected. After cleaning and processing, relevant data of the backstreet economy in the target area is obtained. The relevant data is a combination of spatial data and urban industrial economic data. The spatial data mainly includes administrative division data, building data, public housing data, historical resource data, bus line data, bus stop data, and OSM map data. The urban industrial economic data is population data, Gaode Map POI data, Baidu heat map data, Dianping data, and tourist attraction review data. The backstreet economic potential is specifically divided into four categories: spatial quality, industrial economy, historical culture, and social vitality. These four types of potential evaluation indicators will further explore the differences and changes in the comprehensive potential of backstreets in the time dimension in the following text. Then, according to the four potential evaluation first-level evaluation indicators, it is subdivided into 12 secondary evaluation indicators. The multi-source data is applied to the corresponding backstreet economic potential evaluation indicators and quantified. The specific quantification method for each level of first-level evaluation indicators. The system weights are determined through the Delphi method and the analytic hierarchy process, and an evaluation index system for the backstreet economic potential based on multi-source data is constructed. The values of the four potential evaluation first-level indicators are normalized to eliminate the influence of different indicator units or dimensions. According to the respective weight ratios of the above evaluation index data, the GIS weighted sum is used to quantify the comprehensive potential of the backstreet economy in the target area.

[0044] Specifically, step S1 includes:

[0045] Collect multi-source data of the backstreet economy in the target area, clean and process the multi-source data to obtain relevant data of the backstreet economy in the target area.

[0046] Specifically, step S2 includes:

[0047] S21, calculate the evaluation indicators of the backstreet economic potential in the target area according to the relevant data, normalize the evaluation indicators, and calculate the weights of the normalized evaluation indicators; among them, the evaluation indicators include four types: spatial quality, industrial economy, historical culture, and social vitality;

[0048] S22, construct an evaluation system for the backstreet economic potential in the target area according to the normalized evaluation indicators and the corresponding weights.

[0049] In the embodiment of the present invention, the evaluation indicators of the backstreet economic potential in the target area based on multi-source data quantify each indicator, normalize the values of each indicator to eliminate the influence of different indicator units or dimensions, determine the weight ratios of each indicator using the analytic hierarchy process, and then use the GIS weighted sum to quantify the comprehensive potential of the backstreets in the target area.

[0050] Specifically, the spatial quality type includes four evaluation indicators: building space vitality, public housing resource concentration, street accessibility, and bus service density;

[0051] Among them, the calculation formula for the concentration degree of public housing resources is as follows:

[0052]

[0053] In the formula, B p is the density score of public housing resource points in the p-th backstreet space, and E p is the comprehensive value of public housing resource points in the p-th backstreet space; S p is the total area of the p-th backstreet space.

[0054] Exemplarily, the space quality corresponds to the space dimension, and four dimensions, namely the vitality of the building space, the concentration degree of public housing resources, the accessibility of the streets and alleys, and the density of bus services, are selected as evaluation indicators.

[0055] The evaluation object of the vitality of the building space is the building space excluding historical and cultural relics protection units and historical buildings. According to the building structure, quality and style, the building space is divided into three levels, as shown in Table 1:

[0056] Table 1 Classification Table for the Evaluation of the Vitality of the Building Space

[0057]

[0058] Public housing resources are available public resources of public properties. Activating and utilizing public housing resources can provide a spatial carrier for the backstreets. The longitude and latitude of public housing resources are collected according to the house numbers and connected to the geographical space to calculate the concentration degree of public housing resources. The calculation formula is as follows:

[0059]

[0060] In the formula, B p is the density score (concentration degree of public housing resources) of public housing resource points in the p-th backstreet space, and its unit is points / km 2 , and E p is the comprehensive value of public housing resource points in the p-th backstreet space; S p is the total area of the p-th backstreet space (unit: km 2 ).

[0061] Accessibility of the streets and alleys: The integration degree of space syntax is used to quantify the accessibility of the streets and alleys. The higher the integration degree value, the stronger the spatial accessibility level; at the same time, the spatial units with high integration degrees correspond to functional aggregation areas with high attractiveness. The integration degree is composed of the global integration degree and the local integration degree. The global integration degree is used to quantify the aggregation and dispersion degree of the backstreet space units and other spaces, while the local integration degree is used to measure the aggregation and dispersion degree of the backstreet space units and the space units within the distance of three-step connection steps. The calculation formulas for the global integration degree I i and the local integration degree LI i are as follows:

[0062]

[0063] In the formula, MD i represents the average depth value from the i-th backstreet space unit to all other space units; d ij represents the depth value from the i-th backstreet space unit to the j-th other space unit; n is the total number of all space units; RA i is the relative asymmetry value, used to standardize the average depth value MD i ; D n is a standardization constant based on the total number n of all space units, used to standardize the relative asymmetry value RA i ; RRA i is the relative relative asymmetry value, representing the standardization result of the relative asymmetry value RA i relative to the standardization constant D n ; I i is the global integration degree of the i-th backstreet space unit, reflecting the integration level of the i-th backstreet space unit in the target area; LI i is the local integration degree of the i-th backstreet space unit, reflecting the integration level of the i-th backstreet space unit in the backstreet space.

[0064] In order to eliminate the influence of redundant space units on the integration degree, therefore, the relative asymmetry value RA i is used to standardize the evaluation depth value to eliminate the influence of redundant space units on the integration degree.

[0065] The bus service density is the straight-line distance between a space unit and the nearest bus stop. Spatial statistics are carried out using GIS Network Analyst. First, the OSM (Open Street Map) road network data is processed to construct a network dataset. Taking the length as the unit and based on the location of the bus stops, the bus stop service areas are delimited. Using the bus stops within the study area as the facility points, analysis is carried out at different distances. The calculation formula is as follows:

[0066] TCI u =O 0 -Min(O ur ),

[0067] In the formula, TCI u is the bus service density of the u-th space unit; if there are r bus stops within the range where the u-th space unit is located, O ur is the spatial straight-line distance between the u-th space unit and the r-th bus stop, and the minimum value among all spatial straight-line distances is Min(O ur ), O0 is the minimum distance constant. The smaller the distance between the backstreet space unit and the bus stop, the larger the TCI value (bus service density), and the stronger the bus service density in the backstreet space.

[0068] Specifically, the industrial economy includes three evaluation indicators: function density, function mix, and commercial public perception;

[0069] Among them, the calculation formula for the function density is:

[0070]

[0071] In the formula, F pt is the POI data point density score (function density) of the t-th type of facility point in the p-th backstreet space; P t is the comprehensive value of the POI points of the t-th type of facility point.

[0072] Exemplarily, the industrial economy corresponds to the function dimension, and three dimensions of function density, function mix, and commercial public perception are selected as evaluation indicators.

[0073] The calculation formula for the function density is as follows:

[0074]

[0075] In the formula, F pt is the POI data point density score (function density) of the t-th type of facility point in the p-th backstreet space; P t is the comprehensive value of the POI points of the t-th type of facility point.

[0076] The function mix is calculated using information entropy, and the formula is as follows:

[0077] D i = -sum(X iv ×ln X iv ),(v = 1, 2, …, d),

[0078] In the formula, D i is the function mix of the i-th backstreet space unit, d is the total number of POI types in the i-th backstreet space unit, and X iv is the ratio of the number of POIs of the v-th type to the total number of POIs in the i-th backstreet space unit where it is located.

[0079] The commercial public perception is to comprehensively score merchants based on merchant review popularity, merchant service quality, and evaluation star ratings, and divide the online word-of-mouth of each merchant through the scoring, which can reflect the popularity value of the merchant. The calculation formula for the merchant word-of-mouth model is as follows:

[0080]

[0081] Among them, Satisfaction represents the merchant's word-of-mouth, and U e is the number of reviews N for merchant e e as the proportion of the number of reviews of all merchants in the backstreet space, N e is the number of reviews of merchant e, that is, the number of times consumers evaluate this merchant. c is the total number of merchants in the backstreet space, and K is the area of the backstreet space.

[0082] Specifically, the historical and cultural types include three evaluation indicators: historical and cultural blocks, cultural protection units, and historical buildings;

[0083] The social vitality types include two evaluation indicators: population vitality intensity and population vitality volatility;

[0084] Among them, the calculation formula for the population vitality intensity is:

[0085]

[0086] In the formula, V i is the population vitality intensity value of the i-th backstreet space unit, G iw is the heat map vector data of the i-th backstreet space unit at the w-th moment, m is the number of measurements of the heat map vector data, and S i is the area of the i-th backstreet space unit.

[0087] Exemplarily, historical culture corresponds to the cultural dimension, and three dimensions of historical and cultural blocks, cultural protection units, and historical buildings are selected as evaluation indicators.

[0088] The quantification of historical culture is based on the review data of historical and cultural blocks, cultural protection units, and historical buildings on the main tourism attraction websites of the backstreet, including various tourism websites. The star ratings of the review data are associated with each historical and cultural block, cultural protection unit, and historical building, and the kernel density analysis method is used. The density of point features around each output raster pixel in its domain is obtained through the calculation of the kernel function. The calculation formula is as follows:

[0089]

[0090] In the formula, f(x) is the kernel density estimate value of the estimated point position, y is the total number of sample points (historical and cultural blocks, cultural protection units, and historical buildings), h is the kernel density calculation bandwidth, is the kernel function, x - x l is the distance from the estimated point to the sample point.

[0091] Social vitality corresponds to the dimension of the main body of the population. Two dimensions, namely the intensity of population vitality and the volatility of population vitality, are selected as evaluation indicators. The representation of social vitality indicators can be from both static and dynamic dimensions. The intensity of population vitality indicator can statically quantify the level of vitality, and the population vitality fluctuation index can dynamically quantify the fluctuation of vitality.

[0092] The vitality intensity value is an indicator used to quantify the population aggregation density in a certain period of time in the backstreet space unit. The population vitality intensity is directly proportional to the population aggregation density. The calculation formula of the population vitality intensity model is as follows:

[0093]

[0094] In the formula, V i is the population vitality intensity value of the i-th backstreet space unit, G iw is the heat map vector data of the i-th backstreet space unit at the w-th moment, m is the number of measurements of the heat map vector data, and S i is the area of the i-th backstreet space unit. w = 0, 1, 2,..., m, and m can be 24, measured once per moment; in order to eliminate the difference in the size of the backstreet area, it is necessary to divide by the backstreet area.

[0095] The population activity volatility is an indicator used to quantify the change range of population vitality in a backstreet space unit in one day. The vitality volatility is directly proportional to the changeability of population aggregation density, resulting in greater differences in population activities in the backstreet space unit at different times. The vitality volatility is expressed by the vitality fluctuation index. The calculation formula of the vitality fluctuation index is as follows:

[0096]

[0097] In the formula, Vstd i is the population vitality volatility of the i-th backstreet space unit, G iw is the heat map vector data of the i-th backstreet space unit at the w-th moment, w = 0, 1, 2,..., m, and m can be 24, measured once per moment; represents the average value of the heat map vector data of the i-th backstreet space unit at m moments.

[0098] A method for evaluating the potential of backstreet economy disclosed in an embodiment of the present invention includes obtaining relevant data of the backstreet economy in a target area; wherein the relevant data includes the spatial data and urban industrial economic data; determining evaluation indicators for the potential of the backstreet economy in the target area according to the relevant data, and constructing an evaluation system for the potential of the backstreet economy in the target area according to the evaluation indicators; and using the evaluation system for the potential of the backstreet economy in the target area to evaluate the target area to obtain an evaluation result of the potential of the backstreet economy in the target area. It can select evaluation indicators that conform to the backstreet economy in the target area and construct an evaluation system for the potential of the backstreet economy in the target area to evaluate the potential of the backstreet economy in the target area.

[0099] See Figure 2 , Figure 2 FIG. is a schematic structural diagram of a backstreet economy potential evaluation device 10 provided by an embodiment of the present invention. The backstreet economy potential evaluation device 10 includes:

[0100] A relevant data acquisition module 11 for acquiring relevant data of the backstreet economy in a target area; wherein the relevant data includes the spatial data and urban industrial economic data;

[0101] An evaluation system construction module 12 for determining evaluation indicators for the potential of the backstreet economy in the target area according to the relevant data and constructing an evaluation system for the potential of the backstreet economy in the target area according to the evaluation indicators;

[0102] An evaluation result acquisition module 13 for using the evaluation system for the potential of the backstreet economy in the target area to evaluate the target area to obtain an evaluation result of the potential of the backstreet economy in the target area.

[0103] A backstreet economy potential evaluation device 10 provided by an embodiment of the present invention can implement all processes of the backstreet economy potential evaluation method in the above embodiment. The functions of each module in the device and the achieved technical effects respectively correspond to the functions and achieved technical effects of the backstreet economy potential evaluation method in the above embodiment, and will not be elaborated here.

[0104] See Figure 3 , Figure 3 FIG. is a schematic structural diagram of a backstreet economy potential evaluation device 20 provided by an embodiment of the present invention. The backstreet economy potential evaluation device 20 in this embodiment includes: a processor 21, a memory 22, and a computer program stored in the memory 22 and executable on the processor 21. When the processor 21 executes the computer program, it implements the steps in the embodiment of the above backstreet economy potential evaluation method. Alternatively, when the processor 21 executes the computer program, it implements the functions of each module in the embodiment of the above backstreet economy potential evaluation device.

[0105] Exemplarily, the computer program may be divided into one or more modules, which are stored in the memory 22 and executed by the processor 21 to implement the present invention. The one or more modules may be a series of computer program instruction segments capable of performing specific functions, and these instruction segments are used to describe the execution process of the computer program in the backstreet economic potential evaluation device 20.

[0106] The backstreet economic potential evaluation device 20 may be a computing device such as a desktop computer, a notebook, a palm computer, or a cloud server. The backstreet economic potential evaluation device 20 may include, but is not limited to, a processor 21 and a memory 22. Those skilled in the art can understand that the schematic diagram is only an example of the backstreet economic potential evaluation device 20 and does not constitute a limitation on the backstreet economic potential evaluation device 20. It may include more or fewer components than shown in the figure, or combine certain components, or have different components. For example, the backstreet economic potential evaluation device 20 may further include input / output devices, network access devices, a bus, etc.

[0107] The so-called processor 21 may be a central processing unit (CPU), or may also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may also be any conventional processor, etc. The processor 21 is the control center of the backstreet economic potential evaluation device 20, and connects various parts of the entire backstreet economic potential evaluation device 20 through various interfaces and lines.

[0108] The memory 22 can be used to store the computer programs and / or modules. By running or executing the computer programs and / or modules stored in the memory 22, and invoking the data stored in the memory 22, the processor 21 realizes various functions of the backstreet economy potential evaluation device 20. The memory 22 mainly includes a program storage area and a data storage area. Among them, the program storage area can store an operating system, application programs required for at least one function (such as a sound playback function, an image playback function, etc.); the data storage area can store data created according to the use of the mobile phone (such as audio data, phone book, etc.). In addition, the memory 22 can include a high-speed random access memory, and can also include a non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, at least one magnetic disk storage device, a flash memory device, or other volatile solid-state storage devices.

[0109] Among them, if the modules integrated in the backstreet economy potential evaluation device 20 are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on such an understanding, to implement all or part of the processes in the above-mentioned embodiment methods of the present invention, it can also be completed by instructing relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor 21, the steps of the above-mentioned various method embodiments can be realized. Among them, the computer program includes computer program code, and the computer program code can be in the form of source code, object code, executable file, or some intermediate form, etc. The computer-readable medium can include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disc, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electrical carrier signal, a telecommunication signal, and a software distribution medium, etc. It should be noted that the content included in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0110] It should be noted that the device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed to multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. In addition, in the attached drawings of the device embodiments provided by the present invention, the connection relationships between modules indicate that they have communication connections, which can be specifically implemented as one or more communication buses or signal lines. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0111] An embodiment of the present invention also provides a computer-readable storage medium, which includes a stored computer program. When the computer program runs, it controls the device where the computer-readable storage medium is located to execute the backstreet economic potential evaluation method as described in the above embodiment.

[0112] In addition, an embodiment of the present invention also provides a computer program product, which is stored in a storage medium and is executed by at least one processor to implement the steps of the backstreet economic potential evaluation method as described in the above embodiment.

[0113] The above is the preferred embodiment of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present invention, several improvements and refinements can be made, and these improvements and refinements are also regarded as the protection scope of the present invention.

Claims

1. A method for evaluating the economic potential of backstreet, characterized in that: include: Obtaining relevant data of the backstreet economy of the target area; wherein the relevant data includes the spatial data and urban industrial economic data; Determine the evaluation index of the economic potential of the back streets in the target area according to the relevant data, and construct an evaluation system of the economic potential of the back streets in the target area according to the evaluation index; The target area is evaluated by using the target area backstreet economic potential evaluation system to obtain the target area backstreet economic potential evaluation results.

2. The backstreet economic potential evaluation method according to claim 1, characterized in that: The acquisition of relevant data on the backstreet economy of the target area includes: Multi-source data of the backstreet economy in the target area are collected, and the multi-source data are cleaned and processed to obtain relevant data of the backstreet economy in the target area.

3. The backstreet economic potential evaluation method according to claim 1, characterized in that: Determining the evaluation index of the backstreet economic potential of the target area according to the relevant data, and constructing the evaluation system of the backstreet economic potential of the target area according to the evaluation index, includes: Calculating the evaluation index of the backstreet economic potential of the target area according to the relevant data, normalizing the evaluation index, and calculating the weight of the normalized evaluation index; wherein the evaluation index includes four types: spatial quality, industrial economy, historical culture and social vitality; Based on the normalized evaluation indicators and corresponding weights, an evaluation system for the economic potential of backstreets in the target area is constructed.

4. The backstreet economic potential evaluation method according to claim 1, characterized in that: The spatial quality type includes four evaluation indicators: building space vitality, public housing resource concentration, street accessibility and public transportation service density; The calculation formula for the concentration of public housing resources is: In the formula, B p is the density score of public housing resource points in the pth backstreet space, E p is the comprehensive value of the public housing resource points in the pth backstreet space; S p is the total area of ​​the pth backstreet space.

5. The backstreet economic potential evaluation method according to claim 4, characterized in that: The industrial economic type includes three evaluation indicators: functional density, functional mix and commercial public perception; Wherein, the calculation formula of the functional density is: In the formula, F pt is the density score of the POI data points of the t-th type of facility in the p-th backstreet space; t It is the comprehensive value of the POI points of the t-th type of facility point.

6. The backstreet economic potential evaluation method according to claim 1, characterized in that: The historical and cultural types include three evaluation indicators: historical and cultural blocks, cultural protection units and historical buildings; The social vitality type includes two evaluation indicators: the intensity of population vitality and the volatility of population vitality; The calculation formula of the crowd vitality intensity is: Where V i is the crowd vitality intensity value of the i-th backstreet space unit, G iw is the heat map vector data of the i-th backstreet space unit at the w-th moment, m is the number of times the heat map vector data is measured, S i is the area of ​​the i-th backstreet space unit.

7. A backstreet economic potential evaluation device, characterized in that: include: A relevant data acquisition module is used to acquire relevant data of the backstreet economy in the target area; wherein the relevant data includes the spatial data and urban industrial economic data; An evaluation system construction module, used to determine the evaluation index of the economic potential of the back streets in the target area according to the relevant data, and to construct an evaluation system of the economic potential of the back streets in the target area according to the evaluation index; The evaluation result obtaining module is used to evaluate the target area by using the target area back street economic potential evaluation system to obtain the target area back street economic potential evaluation result.

8. A backstreet economic potential evaluation 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 backstreet economic potential as described in any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored computer program, wherein when the computer program is executed, the device where the computer-readable storage medium is located is controlled to execute the backstreet economic potential evaluation method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The computer program product is stored in a storage medium, and the program product is executed by at least one processor to implement the steps of the backstreet economic potential evaluation method as described in any one of claims 1-6.

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