Urban space vitality assessment and optimization system based on multi-dimensional event data
The urban spatial vitality assessment and optimization system based on multi-dimensional event data solves the problems of the singleness and inflexibility of traditional assessment methods, realizes accurate assessment and efficient optimization of urban space, and improves the assessment and optimization efficiency of urban spatial vitality.
Patent Information
- Application Number
- CN202511660168.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-11-13
- Publication Date
- 2026-02-10
AI Technical Summary
Traditional methods for assessing urban spatial vitality rely on single indicators, lack dynamism and flexibility, and cannot accurately reflect changes in spatial vitality, leading to discrepancies between assessment results and actual needs. Furthermore, existing multi-dimensional assessment systems lack detailed management and a scientific assessment sequence.
A town spatial vitality assessment and optimization system based on multi-dimensional event data is adopted, including a fragmented space division module, a spatial vitality assessment module, a spatial vitality optimization module, and a vitality correlation assessment module. Through detailed management and dynamic assessment sequence, high-potential areas are prioritized for assessment and vitality optimization.
It has enabled precise assessment and optimization of urban space, improved the efficiency of assessment and optimization, ensured that high-activity areas are assessed first and the assessment order is adjusted in a timely manner, and enhanced the overall efficiency of urban space vitality.
Smart Images
Figure CN121503884A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of urban spatial assessment technology, and more specifically, to an urban spatial vitality assessment and optimization system based on multi-dimensional event data. Background Technology
[0002] With the acceleration of urbanization, urban spatial planning and management face unprecedented challenges. Traditional methods for assessing urban spatial vitality often rely on single indicators or data sources, making it difficult to comprehensively and accurately reflect the true vitality of urban spaces. Furthermore, these assessment methods typically lack dynamism and flexibility, failing to respond promptly to changes in urban spatial vitality, resulting in significant discrepancies between assessment results and actual needs.
[0003] To overcome the limitations of traditional assessment methods, urban spatial vitality assessment methods based on multi-dimensional event data have gradually emerged in recent years. This method, by collecting and analyzing multi-dimensional event data from different channels and time points, can more comprehensively reveal the vitality characteristics and changing trends of urban spaces. However, existing assessment systems based on multi-dimensional event data still have some shortcomings.
[0004] First, existing systems often lack detailed management of urban space. Urban space is a complex system, and the spatial vitality of different areas and time periods can vary significantly. Therefore, it is necessary to fragment urban space to more accurately assess and optimize the vitality of each fragment.
[0005] Secondly, existing systems lack scientific rigor and flexibility in determining the evaluation sequence. Traditional evaluation methods typically follow a fixed order or randomly select evaluation objects, which may delay the evaluation of high-potential optimization areas, thereby affecting the overall efficiency of system vitality improvement.
[0006] To address the aforementioned issues, this invention proposes a system for assessing and optimizing urban spatial vitality based on multi-dimensional event data. Summary of the Invention
[0007] To address the shortcomings of existing technologies, the present invention aims to provide a system for assessing and optimizing urban spatial vitality based on multi-dimensional event data.
[0008] To achieve the above objectives, the present invention provides the following technical solution: The urban spatial vitality assessment and optimization system based on multi-dimensional event data includes a fragmented space division module, a spatial vitality assessment module, a spatial vitality optimization module, and a vitality correlation assessment module. The fragmented space division module is used to divide the urban space into regions, resulting in multiple urban fragmented spaces; The spatial vitality assessment module generates fragmented space assessment steps after each vitality assessment cycle. It then conducts vitality assessments on urban fragmented spaces sequentially according to these steps. After each urban fragmented space completes its vitality assessment, it obtains the vitality assessment value for that urban fragmented space. Based on the comparison between the vitality assessment value and the vitality assessment boundary value, it determines whether to mark the space as lacking vitality. The spatial vitality optimization module is used to optimize low-vitality events involved in low-vitality event data in a space lacking vitality. The vitality association assessment module is used to mark adjacent town fragment spaces lacking vitality as vitality impact spread spaces, obtain the vitality impact linkage value of the vitality impact spread spaces, and based on the comparison result of the vitality impact linkage value and the vitality impact linkage threshold, mark the vitality impact spread spaces as vitality-affected spaces or mark them back as town fragment spaces. All vitality-affected spaces are sorted in descending order of vitality impact linkage value, and impact space assessment steps are generated according to the sorting order. Vitality assessment is performed on the vitality-affected spaces in sequence according to the impact space assessment steps.
[0009] Furthermore, the fragmented space assessment steps are generated as follows: obtain the spatial shortcoming value of each town's fragmented space, sort all town fragmented spaces in descending order of their spatial shortcoming values, and generate fragmented space assessment steps according to the sorting order.
[0010] Furthermore, the method for obtaining the spatial shortcoming value of urban fragmented spaces is as follows: Obtain the vitality assessment values of an urban fragmented space for the previous m consecutive vitality assessment cycles. Sort all vitality assessment values sequentially according to the order of the vitality assessment cycles. Calculate the difference between two adjacent vitality assessment values after sorting and take the absolute value to obtain the vitality swing value. Sum all vitality swing values and take the average to obtain the average vitality swing value Tqs. Sum two adjacent vitality assessment values after sorting to obtain the vitality duration value. Sum all vitality duration values and take the average to obtain the average vitality duration value Lmx. Use the formula... The spatial shortest-slot value Kdp of the town's fragmented space is obtained.
[0011] Furthermore, the vitality assessment value of urban fragmented spaces is obtained as follows: The vitality index values of event data in each dimension are obtained. The vitality index values of all event data in all dimensions are compared pairwise. The difference between the vitality index values of the compared two-dimensional event data is calculated, and the absolute value is taken to obtain the vitality performance difference value. All vitality performance difference values are summed and averaged to obtain the average vitality difference value Bse. High and low vitality index values are set. When the vitality index value of a dimension event data is greater than or equal to the high vitality index value, no further processing is performed. When the vitality index value of a dimension event data is less than or equal to the low vitality index value, that dimension event data is marked as low vitality event data. The total number of low vitality event data is marked as Hyd. When the vitality index value of a dimension event data is between the high and low vitality index values, that dimension event data is marked as vitality boundary data. The vitality index values of all vitality boundary data are summed and averaged to obtain the average boundary index value Vdz. The formula is then used to calculate the average boundary index value Vdz. The vitality assessment value Tsw of the town's fragmented space is obtained, where f1 is the boundary index coefficient.
[0012] Furthermore, the vitality index values of event data in each dimension are obtained as follows: acquire event data in each dimension generated by urban fragmented spaces within the vitality assessment period, extract data features from the event data in each dimension, extract the event features of the event data in each dimension, acquire the vitality index assessment model corresponding to the event data in each dimension, input the event features of the event data in each dimension into the corresponding vitality index assessment model, and output the vitality index values of the event data in each dimension.
[0013] Furthermore, based on the comparison between the vitality assessment value and the vitality assessment threshold, it is determined whether to mark a space as lacking vitality. Specifically, a vitality assessment threshold is set. When the vitality assessment value of a town fragment space is greater than or equal to the vitality assessment threshold, a vitality assessment is performed on the next town fragment space in the fragment space assessment step. When the vitality assessment value of a town fragment space is less than the vitality assessment threshold, the town fragment space is marked as a space lacking vitality.
[0014] Furthermore, the method for obtaining the vitality impact linkage value of the vitality impact spread space is as follows: obtain the vitality traceability value and the comprehensive vitality comparison value of the vitality-deficient space, and mark them as... To obtain the vitality traceability value and comprehensive vitality comparison value of the space where vitality influences the spread of vitality, and mark them as... The cosine similarity algorithm is used to calculate the linkage value of vitality influence in the vitality influence spread space.
[0015] Furthermore, the vitality traceability value is obtained as follows: The vitality assessment value Tsw of a town fragment space for the previous S consecutive vitality assessment cycles is obtained, where s = 1, 2, ..., S, and s is the cycle number of the vitality assessment cycle. The vitality assessment coefficient is set to xw, where w = 1, 2, ..., w, x1 < x2 < x3 < ... < xw. The formula is then used... The vitality traceability value Ery of the town's fragmented space is obtained.
[0016] Furthermore, the comprehensive vitality comparison value is obtained as follows: obtain the vitality assessment value Tsw of a town fragment space for the previous S consecutive vitality assessment cycles, match all vitality assessment values in pairs to form a vitality comparison group, obtain the vitality comparison value of each vitality comparison group, and sum all vitality comparison values to obtain the comprehensive vitality comparison value. The vitality comparison value of the vitality comparison group is obtained as follows: the ratio of the vitality assessment value of the earlier vitality assessment period to the vitality assessment value of the later vitality assessment period in the vitality comparison group is calculated to obtain the vitality comparison value of the vitality comparison group.
[0017] Furthermore, based on the comparison results between the vitality impact linkage value and the vitality impact linkage threshold, the space where vitality impact spreads is marked as a space where vitality is affected or marked back to the town fragment space. Specifically, a vitality impact linkage threshold is set. When the vitality impact linkage value of the space where vitality impact spreads is greater than the vitality impact linkage threshold, the space where vitality impact spreads is marked as a space where vitality is affected. When the vitality impact linkage value of the space where vitality impact spreads is less than or equal to the vitality impact linkage threshold, the space where vitality impact spreads is marked back to the town fragment space.
[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. Set up a fragmented space division module, a spatial vitality assessment module, and a spatial vitality optimization module to manage the spatial vitality of towns in detail. Regularly conduct in-depth vitality assessments of each town's fragmented space through multi-dimensional event data, dynamically determine the vitality assessment order of town fragmented spaces, ensure that town fragmented spaces with high potential vitality optimization needs are assessed first, ensure orderly and accurate assessment of town fragmented spaces, and promptly carry out corresponding vitality optimizations after assessment, thereby improving the overall system's vitality assessment and optimization efficiency. 2. Set up a vitality correlation assessment module. After the system assesses the space lacking vitality, it further analyzes the fragmented urban spaces adjacent to the space lacking vitality, accurately analyzes the vitality correlation between the space lacking vitality and the fragmented urban spaces adjacent to the space, and then dynamically adjusts the vitality assessment order to ensure that the fragmented urban spaces whose vitality is severely affected are assessed first. Attached Figure Description
[0019] Figure 1This is a system module diagram of an urban spatial vitality assessment and optimization system based on multi-dimensional event data; Figure 2 This is a system operation flowchart for an urban spatial vitality assessment and optimization system based on multi-dimensional event data. Detailed Implementation
[0020] Reference Figures 1-2 The system for assessing and optimizing urban spatial vitality based on multi-dimensional event data includes modules for fragmented space division, spatial vitality assessment, spatial vitality optimization, and vitality correlation assessment.
[0021] Fragmented Space Division Module: Divide urban space into regions (based on the socio-economic development status and future development trends of the town, and make scientific and reasonable divisions, with the division based on existing principles), resulting in multiple urban fragmented spaces.
[0022] Spatial Vitality Assessment Module: Real-time collection of event data from fragmented spaces in various towns (time data for each town fragmented space is collected through relevant data sources, including but not limited to public transportation data sources, social media data sources, and environmental monitoring data sources). A vitality assessment cycle is set (the vitality assessment cycle is a preset time period, the length of which can be adjusted according to needs, and the vitality assessment cycle loops infinitely). After each vitality assessment cycle, a fragmented space assessment step is generated. The vitality of town fragmented spaces is assessed sequentially according to the fragmented space assessment step. After each town fragmented space completes its vitality assessment, a vitality assessment value is obtained, and a vitality assessment threshold is set. When the vitality assessment value of a town fragmented space is greater than or equal to the vitality assessment threshold, the next town fragmented space in the fragmented space assessment step is assessed. When the vitality assessment value of a town fragmented space is less than the vitality assessment threshold, the town fragmented space is marked as a space lacking vitality.
[0023] The fragmented space assessment steps are generated as follows: obtain the spatial shortcoming value of each town's fragmented space, sort all town fragmented spaces in descending order of their spatial shortcoming values, and generate fragmented space assessment steps according to the sorting order.
[0024] The method for obtaining the spatial shortcoming value of urban fragmented spaces is as follows: Obtain the vitality assessment values of an urban fragmented space for the previous m consecutive vitality assessment cycles. Sort all vitality assessment values in chronological order according to the vitality assessment cycles. Calculate the difference between any two adjacent vitality assessment values after sorting and take the absolute value to obtain the vitality swing value. Sum all vitality swing values and take the average to obtain the average vitality swing value Tqs. Sum any two adjacent vitality assessment values after sorting to obtain the vitality duration value. Sum all vitality duration values and take the average to obtain the average vitality duration value Lmx. Use the formula... The spatial shortest-slot value Kdp of the town's fragmented space is obtained.
[0025] The vitality assessment value of urban fragmented spaces is obtained as follows: Event data of various dimensions generated by urban fragmented spaces during the vitality assessment period is acquired. Data feature extraction is performed on the event data of each dimension (feature extraction includes statistical feature extraction, frequency domain feature extraction, etc.). Event features of each dimension are extracted, and the corresponding vitality index assessment model is obtained. The event features of each dimension are input into the corresponding vitality index assessment model, and the vitality index value of each dimension is output. The vitality index values of all dimensions are compared pairwise. The difference between the vitality index values of the two compared dimensions is calculated, and the absolute value is taken to obtain the vitality performance difference value. All vitality performance difference values are summed and averaged to obtain the average value. The average vitality difference value Bse is calculated by setting high and low values for the vitality index (the high value is greater than the low value, and both are system-defined thresholds). When the vitality index value of an event data dimension is greater than or equal to the high value, no further processing is performed. When the vitality index value of an event data dimension is less than or equal to the low value, that event data dimension is marked as low-vitality event data, and the total number of low-vitality event data is marked as Hyd. When the vitality index value of an event data dimension is between the high and low values, that event data dimension is marked as vitality boundary data. The vitality index values of all vitality boundary data are summed and averaged to obtain the average boundary index value Vdz. This is then calculated using the formula... The vitality assessment value Tsw of the town's fragmented space is obtained, where f1 is the boundary index coefficient, and the value of f1 is 1.95.
[0026] Each dimension of event data corresponds to a vitality index evaluation model, and each vitality index evaluation model is constructed based on a neural network model. In this embodiment, the vitality index evaluation models for two dimensions of event data will be disclosed as examples. First, the construction process of the vitality index evaluation model for public transportation data will be disclosed in detail, and then the construction process of the vitality index evaluation model for social media data will be disclosed briefly.
[0027] The process of constructing the public transportation data vitality index assessment model is as follows: Event features of multiple public transportation data points are collected, a neural network model is constructed, and the event features of the public transportation data are used as training data for the neural network model. Each training data point is assigned a vitality index value, with the value ranging from 1.1 to 4.9. A higher vitality index value indicates higher public transportation vitality in fragmented urban spaces, while a lower value indicates lower public transportation vitality in fragmented urban spaces. The training data is divided into a training set, a validation set, and a test set in a 3:1:1 ratio. The neural network is iteratively trained on the training set, validation set, and test set. After training, the public transportation data vitality index assessment model is constructed.
[0028] The process of constructing the vitality index assessment model for social media data is as follows: Collect event characteristics from multiple social media data. The larger the vitality index value, the higher the social media vitality of the urban fragmented space. The smaller the vitality index value, the lower the social media vitality of the urban fragmented space. The rest is consistent with the construction process of the vitality index assessment model for public transportation data.
[0029] Spatial vitality optimization module: Optimizes low-vitality events involved in low-vitality event data in spaces lacking vitality (e.g., if public transportation data is low-vitality event data in a space lacking vitality, then optimize public transportation).
[0030] The system includes modules for fragmented space division, spatial vitality assessment, and spatial vitality optimization. These modules enable detailed management of urban spatial vitality. The system regularly conducts in-depth vitality assessments of each urban fragmented space using multi-dimensional event data. It dynamically determines the assessment sequence for urban fragmented spaces, ensuring that fragmented spaces with high potential for vitality optimization are assessed first. This guarantees orderly and accurate assessment of urban fragmented spaces. Furthermore, it promptly optimizes vitality after assessment, thereby improving the overall efficiency of vitality assessment and optimization within the system.
[0031] Vitality Association Assessment Module: Adjacent town fragment spaces lacking vitality (and not assessed in the current vitality assessment period) are marked as vitality impact spread spaces. The vitality impact linkage value of the vitality impact spread spaces is obtained, and a vitality impact linkage threshold is set (the vitality impact linkage threshold is a system preset threshold). When the vitality impact linkage value of the vitality impact spread space is greater than the vitality impact linkage threshold, the vitality impact spread space is marked as a vitality-affected space. When the vitality impact linkage value of the vitality impact spread space is less than or equal to the vitality impact linkage threshold, the vitality impact spread space is marked back as a town fragment space. All vitality-affected spaces are sorted in descending order of vitality impact linkage value. Impact space assessment steps are generated according to the sorting order. Vitality assessment is performed on the vitality-affected spaces in the impact space assessment steps in sequence (after all vitality-affected spaces in the impact space assessment steps have completed vitality assessment, the town fragment spaces that have not been assessed after the vitality-deficient spaces are assessed according to the fragment space assessment steps).
[0032] Obtain the vitality traceability value and the comprehensive vitality comparison value of the space lacking vitality, and label them as follows. , For vitality that lacks space, traceability value. To obtain the comprehensive vitality comparison value for spaces lacking vitality, the vitality traceability value and comprehensive vitality comparison value for the space where vitality influences and spreads are obtained, and these are marked as follows: , The vitality traceability value for the influence and spread of vitality in the space. To calculate the comprehensive vitality impact linkage value of the vitality impact spread space, the cosine similarity algorithm is used to determine the vitality impact linkage value of the vitality impact spread space.
[0033] The influence of vitality on the spread of space and the linkage value of vitality influence .
[0034] The vitality traceability value is obtained as follows: The vitality assessment value Tsw of a town fragment space for the previous S consecutive vitality assessment cycles is obtained, where s = 1, 2, ..., S, and s is the cycle number of the vitality assessment cycle. The vitality assessment coefficient is set as xw, where w = 1, 2, ..., w, x1 < x2 < x3 < ... < xw. Each vitality assessment coefficient corresponds to a range of vitality assessment values. The range of vitality assessment values includes (0, Ts1], (Ts1, Ts2], ..., (Tsw-1, Tsw], where Tsw ∈ (Ts1, Ts2], and the vitality assessment coefficient is x2. The formula is then used... The vitality traceability value Ery of the town's fragmented space is obtained.
[0035] The comprehensive vitality comparison value is obtained as follows: obtain the vitality assessment value Tsw of a town fragment space for the previous S consecutive vitality assessment cycles, match all vitality assessment values in pairs to form a vitality comparison group, obtain the vitality comparison value of each vitality comparison group, and sum all vitality comparison values to obtain the comprehensive vitality comparison value.
[0036] The vitality comparison value of the vitality comparison group is obtained as follows: the vitality assessment value of the earlier vitality assessment period in the vitality comparison group is calculated as a ratio to the vitality assessment value of the later vitality assessment period (the earlier and later periods are related in terms of time), and the vitality comparison value of the vitality comparison group is obtained.
[0037] A vitality correlation assessment module is set up. After the system assesses the space lacking vitality, it further analyzes the fragmented urban spaces adjacent to the space lacking vitality, accurately analyzes the vitality correlation between the space lacking vitality and the fragmented urban spaces adjacent to the space, and then dynamically adjusts the vitality assessment order to ensure that the fragmented urban spaces whose vitality is severely affected are assessed first.
[0038] The above formulas are all dimensionless calculations. The formulas are derived from software simulations based on a large amount of collected data to obtain the most recent real-world results. The preset parameters in the formulas are set by those skilled in the art according to the actual situation.
[0039] The above embodiments can be implemented, in whole or in part, by software, hardware, firmware, or any other combination thereof. When implemented using software, the above embodiments can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, all or part of the processes or functions described in the embodiments of this application are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that includes one or more sets of available media. The available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium. A semiconductor medium can be a solid-state drive.
[0040] It should be understood that in the various embodiments of this application, the order of the above-mentioned processes does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.
[0041] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.
[0042] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.
[0043] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.
[0044] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.
[0045] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.
Claims
1. A system for assessing and optimizing urban spatial vitality based on multi-dimensional event data, characterized in that: It includes modules for fragmented space division, spatial vitality assessment, spatial vitality optimization, and vitality correlation assessment. The fragmented space division module is used to divide the urban space into regions, resulting in multiple urban fragmented spaces; The spatial vitality assessment module generates fragmented space assessment steps after each vitality assessment cycle. It then conducts vitality assessments on urban fragmented spaces sequentially according to these steps. After each urban fragmented space completes its vitality assessment, it obtains the vitality assessment value for that urban fragmented space. Based on the comparison between the vitality assessment value and the vitality assessment boundary value, it determines whether to mark the space as lacking vitality. The spatial vitality optimization module is used to optimize low-vitality events involved in low-vitality event data in a space lacking vitality. The vitality association assessment module is used to mark adjacent town fragment spaces lacking vitality as vitality impact spread spaces, obtain the vitality impact linkage value of the vitality impact spread spaces, and based on the comparison result of the vitality impact linkage value and the vitality impact linkage threshold, mark the vitality impact spread spaces as vitality-affected spaces or mark them back as town fragment spaces. All vitality-affected spaces are sorted in descending order of vitality impact linkage value, and impact space assessment steps are generated according to the sorting order. Vitality assessment is performed on the vitality-affected spaces in sequence according to the impact space assessment steps.
2. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 1, characterized in that, The fragmented space assessment steps are generated as follows: obtain the spatial shortcoming value of each town's fragmented space, sort all town fragmented spaces in descending order of their spatial shortcoming values, and generate fragmented space assessment steps according to the sorting order.
3. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 2, characterized in that, The method for obtaining the spatial shortcoming value of urban fragmented spaces is as follows: Obtain the vitality assessment values of an urban fragmented space for the previous m consecutive vitality assessment cycles. Sort all vitality assessment values in chronological order according to the vitality assessment cycles. Calculate the difference between any two adjacent vitality assessment values after sorting and take the absolute value to obtain the vitality swing value. Sum all vitality swing values and take the average to obtain the average vitality swing value Tqs. Sum any two adjacent vitality assessment values after sorting to obtain the vitality duration value. Sum all vitality duration values and take the average to obtain the average vitality duration value Lmx. Use the formula... The spatial shortest-slot value Kdp of the town's fragmented space is obtained.
4. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 1, characterized in that, The vitality assessment value of urban fragmented spaces is obtained as follows: The vitality index values of event data in each dimension are obtained. The vitality index values of all event data in all dimensions are compared pairwise. The difference between the vitality index values of the compared two-dimensional event data is calculated, and the absolute value is taken to obtain the vitality performance difference value. All vitality performance difference values are summed and averaged to obtain the average vitality difference value Bse. High and low vitality index values are set. When the vitality index value of a dimension event data is greater than or equal to the high vitality index value, no further processing is performed. When the vitality index value of a dimension event data is less than or equal to the low vitality index value, that dimension event data is marked as low vitality event data, and the total number of low vitality event data is marked as Hyd. When the vitality index value of a dimension event data is between the high and low vitality index values, that dimension event data is marked as vitality boundary data. The vitality index values of all vitality boundary data are summed and averaged to obtain the average boundary index value Vdz. The formula is then used to calculate the average boundary index value Vdz. The vitality assessment value Tsw of the town's fragmented space is obtained, where f1 is the boundary index coefficient.
5. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 4, characterized in that, The vitality index values of event data in each dimension are obtained as follows: acquire event data in each dimension generated by urban fragmented spaces during the vitality assessment period, extract data features from the event data in each dimension, obtain the event features of the event data in each dimension, obtain the vitality index assessment model corresponding to the event data in each dimension, input the event features of the event data in each dimension into the corresponding vitality index assessment model, and output the vitality index values of the event data in each dimension.
6. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 1, characterized in that, Based on the comparison between the vitality assessment value and the vitality assessment threshold, it is determined whether to mark a space as lacking vitality. Specifically, a vitality assessment threshold is set. When the vitality assessment value of a town fragment space is greater than or equal to the vitality assessment threshold, the vitality assessment of the next town fragment space in the fragment space assessment step is performed. When the vitality assessment value of a town fragment space is less than the vitality assessment threshold, the town fragment space is marked as a space lacking vitality.
7. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 1, characterized in that, The method for obtaining the vitality impact linkage value of the vitality-affected space is as follows: Obtain the vitality traceability value and the comprehensive vitality comparison value of the vitality-deficient space, and mark them as follows. To obtain the vitality traceability value and comprehensive vitality comparison value of the space where vitality influences the spread of vitality, and mark them as... The cosine similarity algorithm is used to calculate the linkage value of vitality influence in the vitality influence spread space.
8. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 7, characterized in that, The vitality traceability value is obtained as follows: The vitality assessment value Tsw of a town fragment space for the previous S consecutive vitality assessment cycles is obtained, where s = 1, 2, ..., S, and s is the cycle number of the vitality assessment cycle. The vitality assessment coefficient is set to xw, where w = 1, 2, ..., w, x1 < x2 < x3 < ... < xw. The formula is then used... The vitality traceability value Ery of the town's fragmented space is obtained.
9. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 7, characterized in that, The comprehensive vitality comparison value is obtained as follows: obtain the vitality assessment value Tsw of a town fragment space for the previous S consecutive vitality assessment cycles, match all vitality assessment values in pairs to form a vitality comparison group, obtain the vitality comparison value of each vitality comparison group, and sum all vitality comparison values to obtain the comprehensive vitality comparison value. The vitality comparison value of the vitality comparison group is obtained as follows: the ratio of the vitality assessment value of the earlier vitality assessment period to the vitality assessment value of the later vitality assessment period in the vitality comparison group is calculated to obtain the vitality comparison value of the vitality comparison group.
10. The urban spatial vitality assessment and optimization system based on multi-dimensional event data according to claim 1, characterized in that, Based on the comparison between the vitality impact linkage value and the vitality impact linkage threshold, the space where vitality impact spreads is marked as a space affected by vitality or marked back to the town fragment space. Specifically, a vitality impact linkage threshold is set. When the vitality impact linkage value of the space where vitality impact spreads is greater than the vitality impact linkage threshold, the space where vitality impact spreads is marked as a space affected by vitality. When the vitality impact linkage value of the space where vitality impact spreads is less than or equal to the vitality impact linkage threshold, the space where vitality impact spreads is marked back to the town fragment space.