Supply and demand matching evaluation method, device and equipment for physical fitness facilities in open space

Abstract

The invention discloses a supply and demand matching evaluation method, device and equipment for physical fitness facilities in an open space, and the method comprises the following steps: obtaining the real-time position data of a population in a plurality of preset time periods in a first target range, and obtaining a plurality of demand positions of the physical fitness facilities in each preset time period; obtaining the number of demanded people and fitness activity demand characteristics of each demand position under each age group, and calculating the demand value of each demand position for each physical fitness facility according to the number of demanded people and the fitness activity demand characteristics; obtaining a plurality of supply positions in the second target range, and calculating supply values of various physical fitness facilities in each supply position; the first target range is included in the second target range; and obtaining reachability data between each demand position and each supply position, and performing supply-demand matching evaluation on each demand position and the supply position corresponding to each demand position according to a preset matching evaluation index. According to the method, the matching evaluation accuracy is high.

Description

Technical Field

[0001] The present invention relates to the technical field of urban planning research, and in particular to a method, device and equipment for evaluating the supply and demand matching of sports and fitness facilities in an open space. Background Art

[0002] Under the guidance of the National Fitness Plan and the Healthy China Strategy, building shared facilities that benefit all ages and widely promote national fitness is one of the current focuses of human settlement environment construction. Urban community open spaces are an important carrier for sports and fitness functions because of their wide distribution and close living distance. They are also the main external space for daily sports and fitness activities of community residents. At present, when evaluating the sports and fitness supply capacity of open spaces and the matching evaluation between the sports and fitness supply capacity of open spaces and the sports and fitness needs of residents, the evaluation basis mainly comes from statistics and survey interviews, and the evaluation method is mainly point-to-point evaluation based on distance. However, with the increasing convenience of transportation, activities such as going to work, school, gatherings, and playing have made population mobility changes more frequent and complex. The existing static evaluation model is difficult to accurately match and evaluate, and it is difficult to serve as an effective reference for further planning of open spaces with shared fitness facilities. Summary of the invention

[0003] To this end, the present invention provides a method, device and equipment for evaluating the supply and demand matching of sports and fitness facilities in open spaces, so as to solve the problem that the existing static evaluation model used in the supply and demand matching evaluation of open spaces with sports and fitness supply functions does not take into account the frequent and complex flow changes of the population, the matching evaluation accuracy is poor, and it is difficult to serve as an effective reference for further planning of open spaces with shared fitness facilities.

[0004] To this end, according to a first aspect, the present invention provides a method for evaluating supply and demand matching of sports and fitness facilities in an open space, comprising the following steps:

[0005] Acquire the real-time location data of the population within a first target range within a plurality of preset time periods, and obtain a plurality of required locations of sports and fitness facilities within each preset time period according to the real-time location data of the population;

[0006] Obtain the number of people in each age group and the demand characteristics of fitness activities at each demand location, and calculate the demand value of each demand location for various types of sports and fitness facilities based on the number of people in each demand location and the demand characteristics of fitness activities; the demand characteristics of fitness activities include fitness time period, type of fitness activities, type of fitness facilities, per capita demand area and demand duration;

[0007] Acquire information of open spaces with sports and fitness facilities within the second target range, obtain a number of supply positions, and calculate supply values ​​of various types of sports and fitness facilities within each supply position; the first target range is included in the second target range;

[0008] The accessibility data between each demand position and each supply position is obtained, and supply-demand matching evaluation is performed on each demand position and the supply position corresponding to each demand position according to preset matching evaluation indicators; a supply position corresponding to a demand position refers to a supply position that meets the preset accessibility requirements with the demand position; the preset matching evaluation indicators include the age structure of the demand position, travel mode and accessible time, and each preset matching evaluation indicator has a corresponding matching weight in each preset time period.

[0009] Optionally, the real-time population location data includes crowd flow trajectory data within each preset time period, and the demand position includes demand points and demand lines. When the demand position is a demand line, the accessibility data is calculated based on the shortest path between the demand line and each supply position.

[0010] Optionally, the step of acquiring information of open spaces with sports and fitness facilities within the second target range, obtaining a number of supply positions, and calculating the supply value of each type of sports and fitness facilities in each supply position specifically includes:

[0011] Acquire information of open spaces with sports and fitness facilities within the second target range to obtain a number of supply locations;

[0012] The areas of various sports and fitness facilities within the supply position are obtained, and the supply values ​​of various sports and fitness facilities within the supply position are obtained.

[0013] Optionally, the step of acquiring information of open spaces with sports and fitness facilities within the second target range, obtaining a number of supply locations, and calculating the supply value of each supply location specifically includes:

[0014] Acquire information of open spaces with sports and fitness facilities within the second target range to obtain a number of supply locations;

[0015] Obtain the area of ​​various sports and fitness facilities within the supply location, and calculate the basic supply flow of the supply location based on the area and per capita demand area;

[0016] Acquire multiple historical passenger flows of the supply position, extract several overflow supply passenger flows that are greater than the basic supply passenger flow in the historical passenger flows, and extract historical passenger flow features corresponding to each overflow supply passenger flow; the historical passenger flow features include age distribution statistics;

[0017] Calculate the average of several overflow supply flow rates and the average of historical flow characteristics to obtain the actual supply flow rate and actual flow characteristics;

[0018] The supply value of the supply position is calculated based on the actual supply flow and the actual flow characteristics.

[0019] Optionally, the historical flow characteristics also include a length of stay statistic; the step of calculating an average value of a number of overflow supply flows and an average value of the historical flow characteristics to obtain an actual supply flow and an actual flow characteristic specifically includes:

[0020] Remove the part of each overflow supply flow whose stay time is less than the preset time, and obtain the intermediate supply flow and the corresponding intermediate flow characteristics;

[0021] Calculate the average of several intermediate supply flow rates and the average of intermediate flow characteristics to obtain the actual supply flow rate and actual flow characteristics.

[0022] Optionally, when calculating the supply value of the supply position according to the actual supply flow and the actual flow characteristics, the following formula is used for calculation:

[0023]

[0024] Among them, k is the serial number of the sports and fitness activity type, O k is the supply value of the supply position for k types of fitness activities; i is the age group number, n is the age group classification number, F i is the number of people in age group i in the actual supply flow, C i is the proportion of people in age group i who perform k types of fitness activities in supply locations, S k is the per capita space required for k types of fitness activities;

[0025]

[0026] Among them, K is the type number of sports and fitness facilities, O K Supply value for K-type sports and fitness facilities.

[0027] Optionally, the demand value of various sports and fitness facilities is calculated by the following formula:

[0028]

[0029] Among them, j is the time period number, k is the sports and fitness activity type number, P jk is the demand value of sports and fitness facilities for k types of sports and fitness activities in time period j; i is the age group number, n is the number of age group categories; M i is the number of people in the i-th age group in the demand position; V is the sports and fitness activity coefficient; R ij T is the proportion of people in age group i who engage in physical fitness activities during time period j; ijkS is the proportion of people in age group i who perform k types of sports and fitness activities in time period j; k h is the per capita space required for k types of sports and fitness activities; k is the average time required to perform k types of physical fitness activities, H j is the total duration of period j; V∈(0.1,0.25);

[0030]

[0031] Among them, j is the time period number, K is the type number of sports and fitness facilities, P jK is the demand value of K-type sports and fitness facilities in time period j; N is the total number of sports and fitness activities based on K-type sports and fitness facilities.

[0032] According to a second aspect, an embodiment of the present invention provides an open space sports and fitness facility supply and demand matching evaluation device, comprising:

[0033] A demand acquisition module, used to acquire real-time population location data within a plurality of preset time periods within the first target range, and obtain a plurality of demand locations of sports and fitness facilities within each of the preset time periods according to the real-time population location data;

[0034] The demand value calculation module is used to obtain the number of people in demand at each age group and the demand characteristics of fitness activities at each demand position, and calculate the demand value of each demand position for various types of sports and fitness facilities according to the number of people in demand and the demand characteristics of fitness activities; the demand characteristics of fitness activities include fitness time period, type of fitness activities, type of fitness facilities, per capita demand area and demand duration;

[0035] a supply value calculation module, used to obtain information of open spaces with sports and fitness facilities within a second target range, obtain a number of supply positions, and calculate the supply value of various types of sports and fitness facilities within each of the supply positions; the first target range is included in the second target range;

[0036] The supply and demand matching module is used to obtain the accessibility data between each of the demand positions and each of the supply positions, and to perform supply and demand matching evaluation on each of the demand positions and the supply positions corresponding to each of the demand positions according to preset matching evaluation indicators; the supply position corresponding to a demand position refers to the supply position that meets the preset accessibility requirements with the demand position; the preset matching evaluation indicators include the age structure of the demand positions, travel modes and accessible time, and each of the preset matching evaluation indicators has a corresponding matching weight in each of the preset time periods.

[0037] According to the third aspect, an embodiment of the present invention provides an open space sports and fitness facility supply and demand matching evaluation device, including: at least one processor; and a memory communicatively connected to the at least one processor; the memory stores computer instructions, and the processor executes the method described in the first aspect or any one of the embodiments of the first aspect by executing the computer instructions.

[0038] According to a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer to execute the method described in the first aspect or any one of the embodiments of the first aspect.

[0039] The technical solution provided by the present invention has the following advantages:

[0040] 1. The supply and demand matching evaluation method for sports and fitness facilities in open spaces provided by the present invention obtains the demand position according to the real-time position data of the population, and the acquisition of the real-time position data of the population and the corresponding demand position are performed in time periods, so that after the preset time period is confirmed corresponding to the large-scale flow law of the population, the demand position in each time period obtained is a real and accurate demand position taking into account the population flow; by obtaining the number of demanders and fitness activity demand characteristics by age group, the accuracy of the obtained fitness activity demand characteristics can be improved, and then a relatively accurate demand value at each demand position can be obtained, and a data basis can be provided for the demand position age structure index used in subsequent matching evaluation; and, by performing further supply and demand matching evaluation after obtaining the supply value of various sports and fitness settings in the supply position, not only the age structure of the demand position, travel mode and accessible time are used as evaluation indicators to perform a comprehensive supply and demand accessibility matching evaluation, but also considering that the sports and fitness activity of people of different age groups in each time period is different, and the corresponding matching weight is set for the matching evaluation index under each time period, which can improve the comprehensiveness and accuracy of the evaluation itself. In summary, the method of the present invention takes into account the population flow characteristics, different population flow characteristics in different time periods, and age characteristics when determining demand; and takes into account the influence of different age structures of demand positions, different travel modes, and different accessible times on the actual supply function of the supply position when matching supply and demand. The influence of different levels of physical fitness activity of demanders of different age groups in different time periods on the actual supply function of the supply position is also taken into account, thereby ensuring the accuracy of the final supply and demand matching evaluation structure.

[0041] 2. The supply and demand matching evaluation method for sports and fitness facilities in open spaces provided by the present invention characterizes the actual supply capacity of the supply position by using the overflow flow of people at the supply position that is higher than the basic supply flow of people as a parameter on the basis of the basic supply flow of people calculated only based on the area of ​​sports and fitness facilities in the supply position and the per capita demand area. It takes into account the reuse of various sports and fitness facilities in the supply position, as well as the overlapping occupied areas when multiple people use the same fitness facility, thereby improving the calculation accuracy of the supply value and further improving the accuracy of the supply and demand matching evaluation. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1 A method flow chart of a method for evaluating supply and demand matching of sports and fitness facilities in an open space provided by an embodiment of the present invention;

[0044] Figure 2 for Figure 1 Specific step flow chart of step S300;

[0045] Figure 3 A principle block diagram of a device for evaluating supply and demand matching of sports and fitness facilities in an open space provided by an embodiment of the present invention;

[0046] Figure 4 A schematic diagram of the hardware structure of an open space sports and fitness facility supply and demand matching evaluation device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0048] In the description of the present invention, it should be noted that the terms “first”, “second” and “third” are only used for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0049] Example 1

[0050] Figure 1 A flow chart of a method for evaluating supply and demand matching of sports and fitness facilities in an open space in an embodiment of the present invention is shown. Specifically, Figure 1 As shown, the method may include the following steps:

[0051] S100: Acquire real-time location data of a population within a first target range within a plurality of preset time periods, and obtain a plurality of required locations of sports and fitness facilities within each preset time period according to the real-time location data of the population.

[0052] In specific implementation, preset time periods can be set according to the flow of residents within the first target range and the residents' physical fitness, and the time lengths of various preset time periods can be the same or different. Specifically, several preset time periods can be set, including 6:00-9:00, 9:00-12:00, 15:00-18:00, and 18:00-21:00; several preset time periods can also be set, including 6:00-8:00, 8:00-10:00, 10:00-12:00, 14:00-17:00, 17:00-19:00, and 19:00-21:00.

[0053] In this embodiment, the real-time population location data may be population distribution heat map data and / or population mobile phone signaling information data, etc.

[0054] In this embodiment, the demand position can be a demand point and / or a demand line. Specifically, when the real-time population location data is population distribution heat map data, the population gathering point can be used as the demand point; when the real-time population location data is population mobile phone signaling information data, the population gathering point can be used as the demand point, and the concentrated crowd flow trajectory in the crowd flow trajectory data can also be used as the demand line.

[0055] During specific implementation, the specific location of each demand position may be obtained by clustering using a clustering algorithm, specifically, by using a K-means algorithm or a DBSCAN algorithm.

[0056] S200: Obtain the number of people in each age group and the demand characteristics of fitness activities at each demand location, and calculate the demand value of each demand location for various sports and fitness facilities based on the number of people in each age group and the demand characteristics of fitness activities.

[0057] In this embodiment, the age groups can be divided according to the physical fitness conditions of the residents in the actual application scenario. For example, the age groups can be set to include: infants (0-7 years old), teenagers (7-18 years old), young people (18-40 years old), middle-aged (40-65 years old) and the elderly (over 65 years old); of course, the age groups can also be divided in other interval division methods. The above example is only a specific example listed to facilitate the understanding of technicians in this field.

[0058] In this embodiment, the fitness activity demand characteristics include fitness time period, fitness activity type, fitness facility type, per capita required area and required duration. Specifically, the fitness time period is one of the preset time periods in the above step S100; specifically, the fitness activity type, fitness facility type, per capita required area and required duration can all be obtained based on data statistics of physical fitness conditions in specific application scenarios.

[0059] For example, the types of fitness activities may include walking, running, square dancing, roller skating, equipment training, shuttlecock kicking and rope skipping, playing chasing and climbing, table tennis, basketball, badminton, martial arts, etc.; the types of fitness facilities, per capita required area and required duration corresponding to various types of fitness activities may be shown in the following table:

[0060]

[0061]

[0062] Specifically, the demand value of the above-mentioned demand location for various types of sports and fitness facilities can be calculated by the following formula:

[0063]

[0064] Among them, j is the time period number, k is the sports and fitness activity type number, P jk is the demand value of sports and fitness facilities for k types of sports and fitness activities in time period j; i is the age group number, n is the number of age group categories; M i is the number of people in the i-th age group in the demand position; V is the sports and fitness activity coefficient; R ij T is the proportion of people in age group i who engage in physical fitness activities during time period j; ijk S is the proportion of people in age group i who perform k types of sports and fitness activities in time period j; k h is the per capita space required for k types of sports and fitness activities; k is the average time required to carry out k types of physical fitness activities, H j is the total duration of period j; V∈(0.1,0.25);

[0065]

[0066] Among them, j is the time period number, K is the type number of sports and fitness facilities, P jK is the demand value of K-type sports and fitness facilities in time period j; N is the total number of sports and fitness activity types based on K-type sports and fitness facilities, and k is the serial number of the sports and fitness activity type (for example, when the K-type sports and fitness facility is a "trail", N=2, and the types of sports and fitness activities based on the "trail" include walking and running).

[0067] It should be noted that the specific data of the above-mentioned sports and fitness activity coefficient can be calculated based on the statistical data of the number of people who regularly participate in sports and fitness in the specific application scenario; for example, if the proportion of people who regularly participate in sports and fitness in the specific application scenario is 44%, then the sports and fitness activity coefficient at this time is 0.19, 44%×3 / 7≈0.19 (the Research Center of the General Administration of Sport of China pointed out that only those who participate in sports and fitness 3 times or more a week are considered to be people who regularly participate in sports and fitness).

[0068] S300: Acquire information of open spaces with sports and fitness facilities within a second target range, obtain a number of supply locations, and calculate supply values ​​of various types of sports and fitness facilities in each supply location.

[0069] In this embodiment, the first target range is included in the second target range.

[0070] During specific implementation, information on open spaces with sports and fitness facilities can be obtained based on the "Urban Residential Area Planning and Design Standards", "Urban Community Sports Facilities Construction Land Indicators", "Park Design Specifications", etc., and can be further expanded and supplemented through field data collection.

[0071] During specific implementation, the supply value of each type of sports and fitness facilities in the supply position can be obtained by acquiring the area of ​​each type of sports and fitness facilities in the supply position.

[0072] S400: Acquire accessibility data between each demand position and each supply position, and perform supply-demand matching evaluation on each demand position and the supply position corresponding to each demand position according to a preset matching evaluation index.

[0073] In this embodiment, a supply position corresponding to a demand position refers to a supply position that meets the preset accessibility requirements with the demand position; the preset matching evaluation indicators include the age structure, travel mode and accessible time of the demand position, and each preset matching evaluation indicator has a corresponding matching weight in each preset time period.

[0074] In specific implementation, algorithms such as the two-step moving search method or the Gaussian two-step moving search method may be used to calculate the accessibility of each supply between each demand position.

[0075] In this embodiment, the supply positions are all point positions. When the demand position is a demand point, the accessibility data can be calculated directly based on the path distance between the two points; when the demand position is a demand line, the accessibility data is calculated based on the shortest path between the demand line and each supply position.

[0076] In this embodiment, the preset accessibility requirements are travel time requirements under various travel modes. For example, the preset accessibility requirements can be set to include "walking: within 15 minutes", "bicycle riding: within 18 minutes", "electric vehicle riding: within 15 minutes", and "driving: within 10 minutes". When a supply position and a demand position meet one of the multiple preset accessibility requirements, it is considered that there is a corresponding relationship between the supply position and the demand position, and the supply position can supply sports construction needs to the demand position, and the two can be matched and evaluated (but the matching weights are different).

[0077] In this embodiment, the age structure of the demand position can be set to include a young structure, an adult structure and an elderly structure; in this embodiment, the weight of each preset matching evaluation index in each preset time period can be set according to the physical fitness activity of residents of various age groups in each preset time period; specifically, the preset time periods as mentioned above include 6:00-8:00 period, 8:00-10:00 period, 10:00-12:00 period, 14:00-17:00 period, 17:00-19 For example, the 8:00-10:00 period and the 19:00-21:00 period are the most active in physical fitness activities for elderly residents. When the age structure of the demand position is an elderly structure, the driving mode in this period has a lower weight than that in other periods. For another example, the 19:00-21:00 period is the most active in physical fitness activities for middle-aged residents and young residents. When the age structure of the demand position is an adult structure, the driving mode in this period has a higher weight than that in other periods.

[0078] For example, taking the age structure of a demand position of a demand position as an elderly structure as an example, the matching weights corresponding to each preset matching evaluation index in the 8:00-10:00 time period can be set as shown in the following table (the matching weights corresponding to each preset matching evaluation index in other preset time periods are similarly set, and are not listed one by one in this embodiment):

[0079]

[0080]

[0081] Of course, the above specific example is also a specific example listed to facilitate the understanding of those skilled in the art. The specific content of the preset matching evaluation indicators and the specific weight values ​​corresponding to each indicator can be adjusted accordingly according to the usage requirements of the specific application scenario.

[0082] As an optional specific implementation of this embodiment, in order to improve the calculation accuracy of the supply value of each supply position, thereby further improving the accuracy of the evaluation of the supply and demand matching of sports and fitness facilities by the method in this embodiment, as shown in FIG. Figure 2 As shown, the above step S300 may be configured to specifically include the following steps:

[0083] S310: Acquire information of open spaces with sports and fitness facilities within a second target range to obtain a number of supply locations.

[0084] S320: Acquire the areas of various sports and fitness facilities in the supply location, and calculate the basic supply flow of the supply location based on the areas of various sports and fitness facilities and the per capita demand area.

[0085] S330: Acquire multiple historical passenger flows of the supply position, extract several overflow supply passenger flows that are greater than the basic supply passenger flow from the historical passenger flows, and extract historical passenger flow features corresponding to each overflow supply passenger flow.

[0086] Specifically, the historical traffic characteristics include age distribution statistics.

[0087] Specifically, historical traffic volume can be obtained based on mobile phone signaling information data.

[0088] S340: Calculate the average of several overflow supply human flows and the average of historical human flow characteristics to obtain the actual supply human flow and the actual human flow characteristics.

[0089] S350: Calculate the supply value of the supply position according to the actual supply flow and the actual flow characteristics.

[0090] Specifically, when calculating the supply value of the supply position according to the actual supply flow and the actual flow characteristics, the following formula can be used for calculation:

[0091]

[0092] Among them, k is the serial number of the sports and fitness activity type, O k is the supply value of the supply position for k types of fitness activities; i is the age group number, n is the age group classification number, F i is the number of people in age group i in the actual supply flow, C i is the proportion of people in age group i who perform k types of fitness activities in supply locations, S kis the per capita space required for k types of fitness activities;

[0093]

[0094] Among them, K is the type number of sports and fitness facilities, O K Supply value for K-type sports and fitness facilities, and N is the total number of types of sports and fitness activities conducted based on K-type sports and fitness facilities.

[0095] As an optional specific implementation of this embodiment, in order to further improve the calculation accuracy of the supply value of each supply position, the historical flow characteristics can be set to also include the length of stay statistics; in this case, the above step S340 can be set to specifically include the following steps:

[0096] S341: removing the parts of each overflow supply flow whose stay time is less than the preset time, and obtaining the intermediate supply flow and the corresponding intermediate flow characteristics.

[0097] Specifically, the preset duration can be set according to the specific conditions of the open space in the actual application scenario and the residents' stay in the open space; illustratively, the preset duration can be 10 minutes, 13 minutes or 15 minutes, etc.

[0098] S342: Calculate the average of several intermediate supplied passenger flows and the average of intermediate passenger flow characteristics to obtain the actual supplied passenger flow and the actual passenger flow characteristics.

[0099] The embodiment of the present invention also provides an open space sports and fitness facility supply and demand matching evaluation device, such as Figure 3 As shown, the device includes: a demand acquisition module 100, a demand value calculation module 200, a supply value calculation module 300 and a supply and demand matching module 400; wherein,

[0100] The demand acquisition module 100 is used to acquire the real-time location data of the population within a plurality of preset time periods within the first target range, and obtain the plurality of demand positions of the sports and fitness facilities within each of the preset time periods according to the real-time location data of the population;

[0101] The demand value calculation module 200 is used to obtain the number of people in demand at each age group and the demand characteristics of fitness activities at each demand position, and calculate the demand value of each demand position for various types of sports and fitness facilities according to the number of people in demand and the demand characteristics of fitness activities; the demand characteristics of fitness activities include fitness time period, type of fitness activities, type of fitness facilities, per capita demand area and demand duration;

[0102] The supply value calculation module 300 is used to obtain information about open spaces with sports and fitness facilities within a second target range, obtain a number of supply positions, and calculate the supply value of various types of sports and fitness facilities within each of the supply positions; the first target range is included in the second target range;

[0103] The supply and demand matching module 400 is used to obtain the accessibility data between each of the demand positions and each of the supply positions, and to perform supply and demand matching evaluation on each of the demand positions and the supply positions corresponding to each of the demand positions according to preset matching evaluation indicators; the supply position corresponding to a demand position refers to the supply position that meets the preset accessibility requirements with the demand position; the preset matching evaluation indicators include the age structure of the demand positions, travel modes and accessible time, and each of the preset matching evaluation indicators has a corresponding matching weight in each of the preset time periods.

[0104] The specific functions of each module in the device can be understood by referring to the contents of the above method, and will not be repeated here.

[0105] The sports and fitness facilities supply and demand matching evaluation method and device in this embodiment obtains the demand position according to the real-time position data of the population, and the acquisition of the real-time position data of the population and the corresponding demand position are performed in time periods, so that after the preset time period is confirmed corresponding to the large-scale flow law of the population, the corresponding demand position in each time period is a real and accurate demand position taking into account the population flow; by obtaining the number of demanders and fitness activity demand characteristics by age group, the accuracy of the obtained fitness activity demand characteristics can be improved, and then a relatively accurate demand value at each demand position can be obtained, and a data basis can be provided for the demand position age structure index used in subsequent matching evaluation; and, by performing further supply and demand matching evaluation after obtaining the supply value of various sports and fitness settings in the supply position, not only the age structure of the demand position, travel mode and accessible time are used as evaluation indicators to perform a comprehensive supply and demand accessibility matching evaluation, but also considering that the sports and fitness activity of people of different age groups in each time period is different, and setting corresponding matching weights for the matching evaluation indicators under each time period can improve the comprehensiveness and accuracy of the evaluation itself. In summary, the method of the present invention takes into account the population flow characteristics, different population flow characteristics in different time periods, and age characteristics when determining demand; and takes into account the influence of different age structures of demand positions, different travel modes, and different accessible times on the actual supply function of the supply position when matching supply and demand. The influence of different levels of physical fitness activity of demanders of different age groups in different time periods on the actual supply function of the supply position is also taken into account, thereby ensuring the accuracy of the final supply and demand matching evaluation structure.

[0106] Example 2

[0107] The embodiment of the present invention also provides an open space sports and fitness facility supply and demand matching evaluation device, such as Figure 4 As shown, the device may include a processor 41 and a memory 42, wherein the processor 41 and the memory 42 may be connected via a bus or other means. Figure 4 The example of connecting through bus is taken in the following.

[0108] The processor 41 may be a central processing unit (CPU). The processor 41 may also be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or a combination of the above chips.

[0109] The memory 42, as a non-transitory computer-readable storage medium, can be used to store non-transitory software programs, non-transitory computer executable programs and modules, such as program instructions / modules corresponding to the open space sports and fitness facilities supply and demand matching evaluation method in Embodiment 1 of the present invention. The processor 41 executes various functional applications and data processing of the processor by running the non-transitory software programs, instructions and modules stored in the memory 42, that is, to implement the open space sports and fitness facilities supply and demand matching evaluation method in Embodiment 1 of the above method.

[0110] The memory 42 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and applications required for at least one function; the data storage area may store data created by the processor 41, etc. In addition, the memory 42 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 42 may optionally include a memory remotely arranged relative to the processor 41, and these remote memories may be connected to the processor 41 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0111] The one or more modules are stored in the memory 42 and when executed by the processor 41, perform the following steps: Figure 1-Figure 2 The supply and demand matching evaluation method of sports and fitness facilities in open spaces in Example 1 is shown.

[0112] The specific details of the above-mentioned open space sports and fitness facilities supply and demand matching evaluation equipment can be found in Figure 1 to Figure 2 The corresponding related descriptions and effects in the embodiment 1 shown are understood and will not be repeated here.

[0113] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, the storage medium can be a disk, an optical disk, a read-only memory (ROM), a random access memory (RAM), a flash memory, a hard disk drive (HDD) or a solid-state drive (SSD), etc.; the storage medium can also include a combination of the above-mentioned types of memory.

[0114] Obviously, the above embodiments are merely examples for the purpose of clear explanation, and are not intended to limit the implementation methods. For those skilled in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation methods here. The obvious changes or modifications derived therefrom are still within the scope of protection of the invention.

Claims

1. A method for evaluating supply and demand matching of sports and fitness facilities in open spaces, characterized in that: The steps include: Acquire the real-time location data of the population within a plurality of preset time periods within the first target range, and obtain the plurality of required locations of the sports and fitness facilities within each of the preset time periods according to the real-time location data of the population; Obtain the number of people in demand and the characteristics of fitness activity demand at each age group of each demand position, and calculate the demand value of each demand position for various types of sports and fitness facilities based on the number of people in demand and the characteristics of fitness activity demand; the characteristics of fitness activity demand include fitness time period, fitness activity type, fitness facility type, per capita demand area and demand duration; Acquire information of open spaces with sports and fitness facilities within a second target range, obtain a number of supply positions, and calculate supply values ​​of various types of sports and fitness facilities within each of the supply positions; the first target range is included in the second target range; Accessibility data between each of the demand positions and each of the supply positions is obtained, and supply-demand matching evaluation is performed on each of the demand positions and the supply positions corresponding to each of the demand positions according to preset matching evaluation indicators; a supply position corresponding to a demand position refers to a supply position that meets preset accessibility requirements with the demand position; the preset matching evaluation indicators include the age structure of the demand positions, travel modes and accessible time, and each of the preset matching evaluation indicators has a corresponding matching weight in each of the preset time periods.

2. The method for evaluating supply and demand matching of sports and fitness facilities in open spaces according to claim 1 is characterized in that: The real-time population location data includes crowd flow trajectory data within each of the preset time periods, and the demand position includes demand points and demand lines. When the demand position is a demand line, the accessibility data is obtained by calculating the shortest path between the demand line and each of the supply positions.

3. The method for evaluating supply and demand matching of sports and fitness facilities in open spaces according to claim 1 or 2, characterized in that: The step of acquiring the open space information with sports and fitness facilities within the second target range, obtaining a plurality of supply positions, and calculating the supply value of each type of sports and fitness facilities in each of the supply positions specifically includes: Acquire information of open spaces with sports and fitness facilities within the second target range to obtain a number of supply locations; The areas of various types of sports and fitness facilities in the supply position are obtained, and the supply values ​​of various types of sports and fitness facilities in the supply position are obtained.

4. The method for evaluating supply and demand matching of sports and fitness facilities in open spaces according to claim 1 or 2, characterized in that: The step of acquiring the information of the open space with sports and fitness facilities within the second target range, obtaining a plurality of supply positions, and calculating the supply value of each of the supply positions specifically includes: Acquire information of open spaces with sports and fitness facilities within the second target range to obtain a number of supply locations; Acquire the areas of various sports and fitness facilities in the supply location, and calculate the basic supply flow of the supply location based on the areas and the per capita demand area; Acquire multiple historical human flows of the supply position, extract a number of overflow supply human flows that are greater than the basic supply human flow from the historical human flows, and extract historical human flow features corresponding to each of the overflow supply human flows; the historical human flow features include age distribution statistics; Calculate the average of several overflow supply flow rates and the average of the historical flow rate characteristics to obtain the actual supply flow rate and the actual flow rate characteristics; The supply value of the supply position is calculated according to the actual supply flow and the actual flow characteristics.

5. The method for evaluating supply and demand matching of sports and fitness facilities in open spaces according to claim 4 is characterized in that: The historical flow characteristics also include a length of stay statistic; the step of calculating the average of a number of overflow supply flows and the average of the historical flow characteristics to obtain the actual supply flow and the actual flow characteristics specifically includes: Removing the portion of the overflow supply flow of people whose stay time is less than the preset time, to obtain the intermediate supply flow of people and the corresponding intermediate flow characteristics; The average values ​​of several intermediate supply human flows and the average values ​​of the intermediate human flow characteristics are calculated to obtain the actual supply human flow and the actual human flow characteristics.

6. The method for evaluating supply and demand matching of sports and fitness facilities in open spaces according to claim 4, characterized in that: When the supply value of the supply position is calculated based on the actual supply flow and the actual flow characteristics, the following formula is used for calculation: Among them, k is the serial number of the sports and fitness activity type, O k is the supply value of the supply position for k types of fitness activities; i is the age group number, n is the age group classification number, F i is the number of people in age group i in the actual supply flow, C i is the proportion of people in age group i who perform k types of fitness activities in supply locations, S k is the per capita space required for k types of fitness activities; Among them, K is the type number of sports and fitness facilities, O K Supply value for K-type sports and fitness facilities.

7. The method for evaluating supply and demand matching of sports and fitness facilities in open spaces according to claim 1, characterized in that: The demand value of various types of sports and fitness facilities is calculated by the following formula: Among them, j is the time period number, k is the sports and fitness activity type number, P jk is the demand value of sports and fitness facilities for k types of sports and fitness activities in time period j; i is the age group number, n is the number of age group categories; M i is the number of people in the i-th age group in the demand position; V is the sports and fitness activity coefficient; R ij T is the proportion of people in age group i who engage in physical fitness activities during time period j; ijk S is the proportion of people in age group i who perform k types of sports and fitness activities in time period j; k h is the per capita space required for k types of sports and fitness activities; k is the average time required to perform k types of physical fitness activities, H j is the total duration of period j; V∈(0.1, 0.25); Among them, j is the time period number, K is the type number of sports and fitness facilities, P jK is the demand value of K-type sports and fitness facilities in time period j; N is the total number of sports and fitness activities based on K-type sports and fitness facilities.

8. An open space sports and fitness facility supply and demand matching evaluation device, characterized in that: include: A demand acquisition module, used to acquire real-time population location data within a plurality of preset time periods within the first target range, and obtain a plurality of demand locations of sports and fitness facilities within each of the preset time periods according to the real-time population location data; The demand value calculation module is used to obtain the number of people in demand at each age group and the demand characteristics of fitness activities at each demand position, and calculate the demand value of each demand position for various types of sports and fitness facilities according to the number of people in demand and the demand characteristics of fitness activities; the demand characteristics of fitness activities include fitness time period, type of fitness activities, type of fitness facilities, per capita demand area and demand duration; a supply value calculation module, used to obtain information of open spaces with sports and fitness facilities within a second target range, obtain a number of supply positions, and calculate the supply value of various types of sports and fitness facilities within each of the supply positions; the first target range is included in the second target range; The supply and demand matching module is used to obtain the accessibility data between each of the demand positions and each of the supply positions, and to perform supply and demand matching evaluation on each of the demand positions and the supply positions corresponding to each of the demand positions according to preset matching evaluation indicators; the supply position corresponding to a demand position refers to the supply position that meets the preset accessibility requirements with the demand position; the preset matching evaluation indicators include the age structure of the demand positions, travel modes and accessible time, and each of the preset matching evaluation indicators has a corresponding matching weight in each of the preset time periods.

9. An open space sports and fitness facility supply and demand matching evaluation device, characterized in that: include: at least one processor; And a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the one processor, and the instructions are executed by the at least one processor so that the at least one processor executes any of the methods described in claims 1-7 above.

10. A computer-readable storage medium having computer instructions stored thereon, characterized in that: When the instruction is executed by a processor, the steps of the method described in any one of claims 1 to 7 are implemented.

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