CN115545566A

CN115545566A - Service facility reachability evaluation method and device, electronic device and storage medium

Info

Publication number: CN115545566A
Application number: CN202211489064.3A
Authority: CN
Inventors: 张学东; 周泽旭; 李梦薇; 王雪迪; 李兆文; 陈波
Original assignee: Beijing University of Civil Engineering and Architecture
Current assignee: Beijing University of Civil Engineering and Architecture
Priority date: 2022-11-25
Filing date: 2022-11-25
Publication date: 2022-12-30
Anticipated expiration: 2042-11-25
Also published as: CN115545566B

Abstract

The embodiment of the invention discloses a method and a device for evaluating service facility reachability, electronic equipment and a storage medium. The method comprises the following steps: determining at least one service demand area served by each service facility in the target area, and determining at least one service facility corresponding to each service demand area in the target area; acquiring supply scale data, competition weight and demand scale data of each service demand area of each service facility, wherein the competition weight is used for expressing the popularity of the service facility; determining a supply-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight and the demand scale data of the at least one service demand area served by each service facility; and determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area. Based on the method, the accuracy of the accessibility evaluation of the service facility can be improved.

Description

Service facility reachability evaluation method and device, electronic device and storage medium

Technical Field

The embodiment of the invention relates to the technical field of computers, in particular to a method and a device for evaluating service facility reachability, electronic equipment and a storage medium.

Background

The spatial distribution of a municipal service is usually related to the ease of arrival at the facility, and reachability is generally used to measure the spatial distribution of the municipal service. Assessing reachability may measure opportunities, costs, and ease of arrival at a service facility. Therefore, studying the spatial accessibility of urban service facilities is of great importance to the economic development of cities and public health.

Spatial reachability refers to the size of the interaction opportunity of nodes in the traffic network. The accessibility determines the closeness degree of social traffic and economic connection between the departure place and the destination, and also reflects the convenience degree of travel of residents in the area. The existing method for the space accessibility of the service facilities does not fully consider the competitive relationship among the service facilities, and the accuracy of the accessibility evaluation is influenced.

Disclosure of Invention

It is an object of embodiments of the present invention to address at least the above problems and/or disadvantages and to provide at least the advantages described hereinafter.

The embodiment of the invention provides a method and a device for evaluating the reachability of service facilities, electronic equipment and a storage medium, which can improve the accuracy of reachability evaluation on the service facilities.

In a first aspect, a method for evaluating service facility reachability is provided, including:

determining at least one service demand area served by each service facility in a target area, and determining at least one service facility corresponding to each service demand area in the target area;

acquiring supply scale data, competition weight and demand scale data of each service facility in the target area, wherein the competition weight is used for representing the popularity of the service facility;

determining a supply-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight and the demand scale data of the at least one service demand area served by each service facility;

and determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area.

Optionally, the competitive weight is manually assessed based on a preset service experience evaluation rule.

Optionally, the method comprises:

setting a search radius based on a preset passing distance threshold;

the determining at least one service demand area served by each service facility in the target area and the determining at least one service facility corresponding to each service demand area in the target area include:

determining at least one service demand area in the target area within the search radius range of each service facility as at least one service demand area served by each service facility, and determining at least one service demand area in the target area within the search radius range of each service demand area as at least one service facility corresponding to each service demand area.

Optionally, the determining the supply-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight and the demand scale data of the at least one service demand area served by each service facility includes:

determining a supply-demand ratio of each service facility according to supply scale data of each service facility, competition weight, demand scale data of the at least one service demand area served by each service facility and distance weight of each service demand area in the at least one service demand area, wherein the distance weight of the at least one service demand area is reduced along with the increase of the passing distance between the at least one service demand area and the corresponding service facility;

the determining the reachability of the service facility in each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area includes:

and determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area and the distance weight of each service facility in the at least one service facility, wherein the distance weight of the at least one service facility is reduced along with the increase of the passing distance between the at least one service facility and the corresponding service demand area.

Optionally, the method comprises:

setting a search radius based on a preset transit time threshold;

determining a supply-demand ratio of each service facility according to supply scale data of each service facility, a competition weight, demand scale data of the at least one service demand area served by each service facility and a time weight of each service demand area in the at least one service demand area, wherein the time weight of the at least one service demand area decreases with the increase of the transit time between the at least one service demand area and the corresponding service facility;

the determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area includes:

and determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area and the time weight of each service facility in the at least one service facility, wherein the time weight of the at least one service facility is reduced along with the increase of the passing time between the at least one service facility and the corresponding service demand area.

Optionally, the setting of the search radius based on the preset transit time threshold includes:

under a plurality of travel modes, determining a plurality of search radiuses matched with the travel modes based on a preset passing time threshold;

for each travel mode, determining at least one service demand area in the target area within each search radius range of each service facility as at least one service demand area served by each service facility in each travel mode, and determining at least one service demand area in the target area within each search radius range of each service demand area as at least one service facility corresponding to each service demand area;

the determining the supply-demand ratio of each service facility according to the supply scale data, the competition weight and the demand scale data of the at least one service demand area served by each service facility comprises:

for each travel mode, determining the supply-demand ratio of each service facility in each travel mode according to the supply scale data of each service facility, the competition weight and the determined demand scale data of the at least one service demand area served by each service facility in each travel mode;

and determining the reachability of the service facility of each service demand area in each travel mode according to the supply-demand ratio of the at least one service facility corresponding to each service demand area in each travel mode.

Optionally, after determining, for each travel mode, service facility reachability of each service demand area in each travel mode according to the supply-demand ratio of the at least one service facility corresponding to each service demand area in each travel mode, determining, according to the supply-demand ratio of the at least one service facility corresponding to each service demand area, the service facility reachability of each service demand area, further includes:

and determining the service facility reachability of each service demand area in a plurality of travel modes according to the service facility reachability of each service demand area in the plurality of travel modes.

Optionally, the method further comprises:

determining reachability weights of service facility reachability in a plurality of travel modes according to the use frequencies of the plurality of travel modes in the target area;

the determining the reachability of the service facility of each service demand area in the plurality of travel modes according to the reachability of the service facility of each service demand area in the plurality of travel modes comprises:

and obtaining the reachability of the service facilities of each service demand area in a plurality of travel modes according to the reachability and reachability weights of the service facilities of each service demand area in the plurality of travel modes.

In a second aspect, an apparatus for evaluating reachability of service facilities is provided, including:

the system comprises a service facility and service demand area determining module, a service demand area determining module and a service demand area determining module, wherein the service facility and service demand area determining module is used for determining at least one service demand area served by each service facility in a target area and determining at least one service facility corresponding to each service demand area in the target area;

a data acquisition module, configured to acquire supply scale data of each service facility in the target area, a competition weight, and demand scale data of each service demand area, where the competition weight is used to indicate a popularity of the service facility;

a supply-demand ratio determination module for determining a supply-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight, and the demand scale data of the at least one service demand area served by each service facility;

and the reachability determination module is used for determining the reachability of the service facilities in each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area.

In a third aspect, an electronic device is provided, including: at least one processor, and a memory communicatively coupled to the at least one processor, wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform the method.

In a fourth aspect, a storage medium is provided, on which a computer program is stored, characterized in that the program, when executed by a processor, implements the method.

The embodiment of the invention at least comprises the following beneficial effects:

the embodiment of the invention provides a method and a device for evaluating service facility reachability, electronic equipment and a storage medium. The method comprises the steps of firstly determining at least one service demand area served by each service facility in a target area, determining at least one service facility corresponding to each service demand area in the target area, then obtaining supply scale data, competition weight and demand scale data of each service demand area in the target area, wherein the competition weight is used for representing the popularity of the service facilities, then determining the supply-demand ratio of each service facility according to the supply scale data, the competition weight and the demand scale data of the at least one service demand area served by each service facility, and finally determining the accessibility of the service facilities of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area. Based on the method and the device, the competition weight is introduced when the supply-demand ratio of the service facility is determined, the competition weight can represent the popularity of the service facility, and compared with supply scale data representing the service capacity of the service facility objectively, the competition weight can represent the service capacity of the service facility subjectively and can reflect the competition relationship among different service facilities, so that the service capacity of the service facility can be more accurately reflected, and the accessibility evaluation accuracy of the service facility is further improved.

Additional advantages, objects, and features of embodiments of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of embodiments of the invention.

Drawings

Fig. 1 is a flowchart of a method for evaluating reachability of a service facility according to an embodiment of the present invention.

Fig. 2 is a schematic diagram of search radii in four travel modes according to another embodiment of the present invention.

Fig. 3 is a schematic structural diagram of an evaluation apparatus for service facility reachability provided in an embodiment of the present invention.

Fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.

Detailed Description

The embodiments of the present invention will be described in further detail with reference to the accompanying drawings so that those skilled in the art can implement the embodiments of the invention with reference to the description.

At present, when determining the supply-demand ratio of a service facility, an evaluation method for the reachability of the service facility only evaluates the service capability of the service facility from an objective perspective, and does not fully consider the competitive relationship among different service facilities, so that the service capability of the service facility cannot be accurately reflected, and further the reachability of the service facility cannot be accurately evaluated. Based on this, the embodiment of the invention introduces the competition weight when determining the supply-demand ratio of the service facilities, the competition weight can represent the popularity of the service facilities, and the service capability of the service facilities can be represented from the subjective angle of people, so that the competition relationship among different service facilities can be fully reflected, and the accuracy of the accessibility evaluation of the service facilities can be further improved.

Fig. 1 is a flowchart of a method for evaluating reachability of service facility according to an embodiment of the present invention, which is performed by a system with processing capability, a server device, or a reachability evaluation apparatus of service facility. As shown in fig. 1, the method includes steps 110 to 140.

Step 110, determining at least one service demand area served by each service facility in the target area, and determining at least one service facility corresponding to each service demand area in the target area.

Here, the service facility may be a public service facility such as a city park and a hospital, or may be another type of service facility such as an express station and a pharmacy. The service demand area may be an area having demand for a service, the type of which depends on the service content. For example, when the service facility is a courier station, the service demand area may be a residential area or a business sending couriers, or the like.

In some embodiments, the method comprises: setting a search radius based on a preset passing distance threshold; the determining at least one service demand area served by each service facility in the target area and the determining at least one service facility corresponding to each service demand area in the target area include: determining at least one service demand area in the target area within the search radius range of each service facility as at least one service demand area served by each service facility, and determining at least one service demand area in the target area within the search radius range of each service demand area as at least one service facility corresponding to each service demand area.

In this embodiment, in a service demand area within the search radius range of any service facility, it can be considered that the service demand area can be served by the service facility, and if the search radius is out of the range, it can be considered that the service demand area is difficult to be served by the service facility. Therefore, at least one service demand area can be determined for each service facility, and at least one service facility can also be determined for each service demand area.

The search radius is set based on a preset distance to pass threshold. Here, the passing distance threshold may be selected empirically or experimentally, for example, if the passing distance threshold is set to 10 km, the search radius is 10 km.

In other embodiments, the method comprises: setting a search radius based on a preset transit time threshold; the determining at least one service demand area served by each service facility in the target area and the determining at least one service facility corresponding to each service demand area in the target area include: determining at least one service demand area in the target area within the search radius range of each service facility as at least one service demand area served by each service facility, and determining at least one service demand area in the target area within the search radius range of each service demand area as at least one service facility corresponding to each service demand area.

In practical applications, there is a certain limitation in determining the search radius based on the traffic distance threshold. The search radius determined based on the transit distance threshold does not accurately reflect the true reachability. For example, when a service facility can reach a service demand area through a highway, the accessibility to the service facility from the service demand area is not poor as the distance between the service demand area and the service demand area is long. Based on this, the embodiment of the present invention sets the search radius based on the preset transit time threshold. When the transit time between one service facility and one service demand area is shorter, the service demand area can be considered to be served by the service facility, and the accessibility is better; on the contrary, it is considered that the service demand area is difficult to obtain the service of the service facility, and the accessibility is poor. In other words, the transit time between the service facility and the service demand area can reflect the real reachability more accurately.

Further, setting a search radius based on a preset transit time threshold, including: setting the distance which can be reached at the preset traffic time threshold as a search radius, namely, calculating the search radius according to the product of the preset traffic time threshold and the traffic speed. The transit time threshold may be set based on actual conditions or experience. The traffic speed may be an average traffic speed of traffic in the target area. For example, if the transit time threshold is set to 30 minutes, the search radius may be the distance that can be reached in 30 minutes; assuming a traffic speed of 30 km/h, the search radius is 15 km.

In some examples, the setting a search radius based on a preset transit time threshold includes: under a plurality of travel modes, determining a plurality of search radiuses matched with the travel modes based on a preset pass time threshold value.

The travel mode can be driving travel, public transport travel, riding or walking and the like. The "multiple travel modes" may include one or more of driving travel, public transportation travel, riding, and walking. Different travel patterns may result in different accessibility to the services in areas of service demand. For example, given a transit time threshold, the service area of the service facility may be relatively expanded in the drive mode, while the service area of the service facility may be relatively reduced in the walk mode. If a service demand area has better accessibility to the service facilities in the driving mode and has poorer accessibility to the service facilities in the walking mode, it may indicate that the service demand area has certain requirements for the travel mode. Therefore, analyzing the service facility reachability of the service demand area in multiple travel modes helps to improve the accuracy and comprehensiveness of reachability evaluation.

In particular, different travel modes mainly result in different traffic speeds. The search radius in the corresponding travel mode can be calculated according to the product of the preset travel time threshold and the travel speed in a certain travel mode. The passing speed in each trip mode can be determined according to the average passing speed in each trip mode. For example, the walking average speed of an adult is taken as the traffic speed in the walking mode, or the driving average speed is taken as the traffic speed in the driving mode. Thus, the search radius can be calculated for a plurality of travel modes.

Further, the determining at least one service demand area served by each service facility in the target area and the determining at least one service facility corresponding to each service demand area in the target area include: for each travel mode, determining at least one service demand area located in each search radius range of each service facility in the target area as at least one service demand area served by each service facility in each travel mode, and determining at least one service demand area located in each search radius range of each service demand area in the target area as at least one service facility corresponding to each service demand area.

Due to the fact that the search radii determined in different travel modes are different, service demand areas served by the service facilities in different travel modes are changed, and the service facilities corresponding to the service demand areas are also changed. Therefore, for each travel mode, the service demand area of each service facility under the corresponding search radius and the service facility corresponding to each service demand area need to be determined separately.

And 120, acquiring supply scale data, competition weight and demand scale data of each service facility in the target area, wherein the competition weight is used for representing the popularity of the service facility.

In this step, the service capability of the service facility can be determined based on the supply scale data and the competitive weight of the service facility. Compared with supply scale data which represents the service capacity of the service facility objectively, the competition weight can represent the service capacity of the service facility subjectively and reflect the competition relationship among different service facilities, so that the service capacity of the service facility can be more accurately reflected, and the accessibility evaluation accuracy of the service facility is improved.

In some embodiments, the competition weight is manually assessed based on a preset service experience evaluation rule. The preset service experience evaluation rule may include scoring standards for various aspects of the service facility, for example, scoring standards for various aspects of the area, service attitude, service timeliness, parking position, and the like of the service facility, and the residents may score the aspects one by one, and then sum the scores of the detailed items according to the rules in the evaluation rule to obtain a comprehensive score for the service facility, where the comprehensive score may reflect the popularity of the service facility, may characterize the service capability of the service facility from the human subjective perspective, and may serve as a competitive weight.

In some examples, the score in the scoring APP currently in common use on the market may be employed as a competitive weight for the service facility.

The supply scale data may objectively represent the service capability of the service facility, for example, the area of the service facility, the number of service persons, the area of parking positions, and the like, and the content of the supply scale data may be adjusted according to the type of the service facility. The demand scale data is used to characterize how much service is required by the service demand facility, for example, the number of population in a residential neighborhood or the number of a certain class of population that needs service, such as the number of elderly people in a residential neighborhood.

And step 130, determining the supply-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight and the demand scale data of the at least one service demand area served by each service facility.

Specifically, the service capacity of the service facility may be calculated as a product of supply scale data of the service facility and the competitive weight, the sum of demand scale data of all service demand areas served by the service facility may be calculated as a total demand scale of the service facility, and the ratio between the service capacity of the service facility and the total demand scale may be calculated as a supply-to-demand ratio of the service facility.

In some embodiments, the determining the supply-to-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight and the demand scale data of the at least one service demand region served by each service facility comprises: determining the supply-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight, the demand scale data of the at least one service demand area served by each service facility and the distance weight of each service demand area in the at least one service demand area, wherein the distance weight of the at least one service demand area is reduced along with the increase of the passing distance between the at least one service demand area and the corresponding service facility.

In practical applications, for a service facility, the size of the traffic distance between the service demand area within the service range (i.e. the search radius range) of the service facility and the service facility will affect the calculation of the total demand scale of the service facility. In other words, as the traffic distance between a service demand region within a service range (i.e., a search radius range) and the service facility is smaller, the contribution of the service demand region to the total demand size of the service facility is larger; conversely, the smaller the contribution of the service demand region to the total demand size of the service facility. Therefore, the embodiment of the invention introduces the distance weight of the service demand area when calculating the supply-demand ratio of the service facility. For a service facility, the distance weight of a service demand area within its service range will decrease as the distance of traffic between the service demand area and the service facility increases.

The distance weight of the service demand area may be calculated according to a distance decay function. The distance decay function may be a gaussian function, a power function, or an exponential function.

In other embodiments, the determining the supply-to-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight, and the demand scale data of the at least one service demand region served by each service facility includes: and determining the supply-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight, the demand scale data of the at least one service demand area served by each service facility and the time weight of each service demand area in the at least one service demand area, wherein the time weight of the at least one service demand area is reduced along with the increase of the transit time between the at least one service demand area and the corresponding service facility.

In practical applications, for a service facility, the amount of transit time between a service demand area within the service range (i.e., the search radius range) of the service facility and the service facility will affect the calculation of the total demand size of the service facility. In other words, as the transit time between a service demand region within a service range (i.e., a search radius range) and the service facility is smaller, the contribution of the service demand region to the total demand scale of the service facility is larger; conversely, the smaller the contribution of the service demand region to the total demand size of the service facility. Therefore, when calculating the supply-demand ratio of the service facility, the embodiment of the invention introduces the time weight of the service demand area. For a service facility, the time weight of a service demand area within its service range will decrease as the transit time between the service demand area and the service facility increases.

The time weight of the service demand region may be calculated from a distance decay function. The distance decay function may be a gaussian function, a power function or an exponential function.

It should be understood that, in the case where the search radius is set based on a preset traffic distance threshold, the distance weight of the service demand region is used in calculating the supply-demand ratio; in the case where the search radius is set based on a preset transit time threshold, the time weight of the service demand area is used in calculating the supply-demand ratio.

In some embodiments, when considering an influence of a plurality of travel modes on reachability, the determining a supply-demand ratio of each service facility according to supply scale data of each service facility, a competitive weight, and demand scale data of the at least one service demand area served by each service facility includes: and determining the supply-demand ratio of each service facility in each travel mode according to the supply scale data of each service facility, the competition weight and the determined demand scale data of the at least one service demand area served by each service facility in each travel mode.

It should be understood that the calculation method of the supply-demand ratio of each service facility in each travel pattern is the same as that of the supply-demand ratio of each service facility in the case where the travel pattern is not taken into consideration.

And 140, determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area.

For a service demand area, the supply-demand ratios of all the corresponding service facilities can be summed, and the service facility reachability of the service demand area can be calculated.

In some examples, the service facility reachability of the target area may be calculated by averaging the service facility reachability of all the service demand areas in the target area. The local area may be selected from the target area, and the service facility reachability in the local area may be calculated by averaging the service facility reachability in all the service demand areas in the local area. Interpolation algorithms can also be used to calculate the spatial distribution of service facility reachability in the target area.

In some embodiments, the determining the reachability of the service facility in each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area includes: and determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area and the distance weight of each service facility in the at least one service facility, wherein the distance weight of the at least one service facility is reduced along with the increase of the passing distance between the at least one service facility and the corresponding service demand area.

In practical applications, for a service demand area, the calculation of the service facility reachability of the service demand area is affected by the size of the travel distance between the corresponding service facility (i.e., the service facility located within the search radius) and the service demand area. In other words, as the transit distance between a service facility and a service demand area is smaller, the service facility contributes more to the service facility reachability of the service demand area; conversely, the smaller the contribution of the service facility to the service facility reachability for the service demand area. Therefore, the embodiment of the invention introduces the distance weight of the service facility when calculating the service facility reachability of the service demand area. For a service demand area, the distance weight of the corresponding service facility decreases with the increase of the traffic distance between the service facility and the service demand area.

The distance weight of the service facility may be calculated from a distance decay function. The distance decay function may be a gaussian function, a power function, or an exponential function.

In other embodiments, the determining reachability of the service facility in each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area includes: and determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area and the time weight of each service facility in the at least one service facility, wherein the time weight of the at least one service facility is reduced along with the increase of the passing time between the at least one service facility and the corresponding service demand area.

In practical applications, for a service demand area, the size of the transit time between the corresponding service facility (i.e. the service facility located within the search radius) and the service demand area will affect the calculation of the service facility reachability of the service demand area. In other words, as the transit time between a service facility and a service demand area is smaller, the contribution of the service facility to the service facility reachability of the service demand area is larger; conversely, the smaller the contribution of the service facility to the service facility reachability for the service demand area. Therefore, the embodiment of the invention introduces the time weight of the service facility when calculating the service facility reachability of the service demand area. For a service demand area, the time weight of the corresponding service facility will decrease as the transit time between the service facility and the service demand area increases.

The time weight of the service facility may be calculated from the distance decay function. The distance decay function may be a gaussian function, a power function, or an exponential function.

It should be understood that, in the case where the search radius is set based on a preset transit distance threshold value, the distance weight of the service facility is used in calculating the service facility reachability; in the case where the search radius is set based on a preset transit time threshold, the time weight of the service facility is used in calculating the service facility reachability.

In some embodiments, when considering an influence of a plurality of travel modes on reachability, the determining reachability of service facility in each service demand area according to a supply-demand ratio of the at least one service facility corresponding to each service demand area includes: and determining the service facility reachability of each service demand area in each travel mode according to the supply-demand ratio of the at least one service facility corresponding to each service demand area in each travel mode.

Based on the embodiment of the invention, the accessibility of the service facilities in the service demand area in different travel modes can be evaluated, so that the accessibility condition can be mastered more accurately and comprehensively. For example, in a public service facility park as an example, a certain residential area has better accessibility in a driving mode, but has poorer accessibility in a walking mode, so that the residential area is considered to be more convenient to drive to and from the park, but has poorer convenience in walking to the park.

It should be understood that the method of calculating the service reachability of each service demand area in each travel pattern is the same as the method of calculating the service reachability of each service demand area in a case where the travel pattern is not taken into consideration.

Further, the determining the reachability of the service facility in each service demand area according to the supply-to-demand ratio of the at least one service facility corresponding to each service demand area further includes: and determining the service facility reachability of each service demand area in a plurality of travel modes according to the service facility reachability of each service demand area in the plurality of travel modes.

And service facility accessibility, namely comprehensive accessibility of each service demand area in a plurality of travel modes. The comprehensive reachability comprehensively reflects the influence of various travel modes on the reachability, so that the reachability can be evaluated more comprehensively and accurately. In some examples, the service reachability calculated by the plurality of travel modes may be summed to obtain the service reachability of each service demand area in the plurality of travel modes.

Further, in other examples, the method further comprises: determining reachability weights of service facility reachability in a plurality of travel modes according to the use frequencies of the plurality of travel modes in the target area; the determining the reachability of the service facility of each service demand area in the plurality of travel modes according to the reachability of the service facility of each service demand area in the plurality of travel modes comprises: and obtaining the reachability of the service facilities of each service demand area in a plurality of travel modes according to the reachability and reachability weights of the service facilities of each service demand area in the plurality of travel modes.

The reachability weight may reflect the contribution of the travel mode to the comprehensive reachability. The larger the reachability weight of a certain travel mode is, the larger the contribution of the travel mode to the comprehensive reachability is. When the comprehensive reachability is calculated, the reachability weight of the trip mode is introduced, so that the reachability can be estimated more comprehensively and accurately.

In some embodiments, the present invention may provide a G2SFCA method based on supply competition to calculate the reachability of the service facility to the service demand area. In the G2SFCA method based on supply competition, a search radius is determined through a traffic distance threshold value. The G2SFCA method is based on the 2SFCA method, and introduces a Gaussian function as a distance attenuation function to obtain a more real space accessibility result.

The supply points are used to represent service facilities in the target area and the demand points represent service demand areas in the target area. The calculation procedure for the 2SFCA method is as follows: (1) For each feed point

Search all at the feed point

Search radius

Demand point within range

Calculating the supply-demand ratio

(ii) a (2) For each demand point

Search all in

Search radius

Feed point in range

All the supply-to-demand ratios

Summing to obtain the demand point

Accessibility of

.2SFCA process expression formula (1) and (2):

（1）

（2）

in the formula:

a serial number representing a demand point;

a serial number indicating a supply point;

representing demand points calculated according to the 2SFCA method

(ii) accessibility; searching for radius

Set based on a transit distance threshold;

representing points of demand

And a feed point

The passing distance between;

is a supply point

Supply scale and search radius of

The ratio between the total demand size of served demand points, i.e. the supply-to-demand ratio;

indicating a supply point

The scale of supply of (a);

representing points of demand

The required scale of (a);

is a supply point

Radius of search of

The total number of demand points served within,

is a demand point

Radius of search of

The total number of corresponding feed points in the table.

The G2SFCA method is to add an additional Gaussian function within the search radius of the 2SFCA method as a distance attenuation function. The expressions for the G2SFCA process are as in formulae (3) to (5):

（3）

（4）

（5）

in the formula (I), the compound is shown in the specification,

as a point of demand

To the feed point

For calculating the demand point

Distance weight of (2). At the point of calculation of supply

Supply to demand ratio of

When it searches for a service within a radius

A requirementDistance weighting of points with demand and supply points

The distance traveled in between increases and decreases. At the point of calculating demand

When the service facility is reachable, its search radius

Corresponding therein

Distance weight of supply point with supply point and demand point

The passing distance between them increases and decreases.

Further, the embodiment of the invention introduces competition weight on the G2SFCA method to reflect the competition relationship between the service facilities, thereby establishing the G2SFCA method based on supply competition. The G2SFCA method expression based on supply competition is as follows:

（6）

（7）

（8）

in the formula (I), the compound is shown in the specification,

is a supply point

The competition weight of (1);

is a supply point

Supply scale and search radius of

indicating demand points calculated according to the G2SFCA method based on supply competition

Accessibility of the cell.

In other embodiments, embodiments of the present invention may provide another G2SFCA method based on supply competition to achieve the calculation of the reachability of the service facility to the service demand area. In the G2SFCA method based on supply competition, the search radius is determined by a transit time threshold value. The G2SFCA method is based on the 2SFCA method, introduces competition weight reflecting competition relation among different service facilities, and introduces Gaussian function as time attenuation function to obtain more real space accessibility result.

The supply points are used to represent service facilities in the target area and the demand points represent service demand areas in the target area. The calculation process of the G2SFCA method based on supply competition is as follows: (1) For each feed point

Search all at the feed point

Search radius

Demand points within range

Calculating the supply-demand ratio

(ii) a (2) For each demand point

Search all in

Search radius

Feed point in range

All the supply and demand ratios

Summing to obtain the demand point

Accessibility of

. The G2SFCA method expression based on supply competition is as follows:

（9）

（10）

（11）

in the formula:

a serial number representing a demand point;

a serial number indicating a supply point;

is a supply point

The competition weight of (1);

representing points of demand

(ii) accessibility; radius of search

Set based on a transit time threshold;

representing points of demand

And a feed point

The transit time in between;

is a supply point

Supply scale and search radius of

indicating a supply point

The scale of supply of (a);

representing points of demand

The required scale of (a);

is a supply point

Radius of search of

The total number of demand points served within,

is a demand point

Radius of search of

The total number of corresponding supply points in the table;

is a gaussian time decay function used to calculate the time weight. At the point of calculation of supply

Supply to demand ratio of

When it searches for a service within a radius

Time weighting of demand points with demand points and supply points

The transit time between increases and decreases. At the point of calculating demand

When the service facility is reachable, its search radius

Corresponding therein

Time weighting of individual supply points with supply point and demand point

The transit time therebetween decreases.

Further, on the basis of the G2SFCA method based on the supply competition, the influence of the travel mode on the accessibility is comprehensively considered, and a G2SFCA model (SCM-G2 SFCA model) based on the supply competition and the travel mode is provided, and the expression formula of the model is as shown in formula (12) to formula (15):

（12）

（13）

（14）

（15）

in the formula (I), the compound is shown in the specification,

for a trip mode

Demand point

And a feed point

The transit time in between;

for a trip mode

A lower gaussian time decay function;

for a trip mode

Lower feed point

The supply-to-demand ratio of (c),

for a trip mode

Lower point of need

(ii) accessibility;

for demand points under N travel modes

Comprehensive accessibility of (a);

for a trip mode

The accessibility weight adopts a trip mode

As reachability weights.

In summary, an embodiment of the present invention provides an evaluation method for reachability of service facilities, which includes determining at least one service demand area served by each service facility in a target area, determining at least one service facility corresponding to each service demand area in the target area, then obtaining supply scale data, a competition weight, and demand scale data of each service demand area of each service facility in the target area, where the competition weight is used to indicate a popularity of the service facility, then determining a supply-demand ratio of each service facility according to the supply scale data, the competition weight, and the demand scale data of the at least one service demand area served by each service facility, and finally determining reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area. Based on the method, the competition weight is introduced when the supply-demand ratio of the service facility is determined, the competition weight can represent the popularity of the service facility, and compared with supply scale data representing the service capacity of the service facility objectively, the competition weight can represent the service capacity of the service facility subjectively and can reflect the competition relationship among different service facilities, so that the service capacity of the service facility can be more accurately reflected, and the accessibility evaluation accuracy of the service facility is further improved.

A specific implementation scenario is provided below to further illustrate the method for evaluating reachability of service facility provided by the embodiment of the present invention.

The present embodiment is directed to a city 902 cells and 31 parks in the city. The park is used as a service facility, and the residential district is used as a service demand area. Map navigation data, park data, population data, residential community data, and park score data are obtained. The park data is mainly a park area, and is supply scale data of the park. The demographic data is from census data. The residential community data comprises the area of residential communities, the population of the residential community is divided according to the area of 902 residential communities, and the number of the population of the residential community of each residential community is used as the demand scale data of each residential community. The park scoring data is used for representing competition relations among different parks and is used as competition weight, and the park scoring data is comprehensive scoring of residents for experience in various aspects such as park area, greening, service facilities and parking positions and reflects the popularity of each park. Transit time in map navigation data is employed for reachability calculation. When the passing time between a cell and a park is obtained, a path planning function of a map is used for path planning, the center of mass of the cell/park is taken as a starting point and a finishing point, and a road network and an entrance and exit of the cell/park are required to be passed through in the path planning process, so that the more real passing time is obtained.

The travel mode is an important factor for measuring the accessibility of the park, and the selection of different travel modes by residents determines the travel time cost from the community to the park. The commuting mode proportion and the commuting mode frequency of a main urban area of a certain city are obtained. In terms of commuting mode selection, the driving mode accounts for 25.7% of the total sample, the public transport and subway accounts for 43.2%, the electric vehicle and bicycle accounts for 8.6%, and the walking mode accounts for 22.5%. It can be known that the public transportation mode has the highest proportion of travel modes, and is the main commuting mode. The respective use frequencies of the four travel modes are used as respective reachability weights.

According to statistics, the average one-way commute time of a certain city is 39 minutes, and the average commute mileage is 9.1 kilometers. Therefore, the present embodiment sets the preset transit time threshold to 39 minutes. The search radius at 39 minutes for the above four travel modes is shown in fig. 2, starting from a park at the center of the study area. Fig. 2 shows the search radius ranges in four travel modes provided by the embodiment of the present invention, wherein the black triangle represents the center of the research area. Boundaries of search ranges determined by the four travel modes are distributed from inside to outside in sequence, an area encircled by the boundary A represents a search range formed by search radiuses determined in a walking mode, an area encircled by the boundary B represents a search range formed by search radiuses determined in a riding mode, an area encircled by the boundary C represents a search range formed by search radiuses determined in a public transportation travel mode, and an area encircled by the boundary D represents a search range formed by search radiuses determined in a driving travel mode. The driving speed is fastest, and all cells in the range of the research area can be reached within 39 minutes from the center point of the research area; the walking speed is the slowest, and the walking robot can only reach a cell within the range of about 2.7 kilometers around the central point within 39 minutes; the riding speed is moderate, and a cell within a range of about 7 kilometers around a central point can be reached within 39 minutes; public transport is greatly influenced by subway and bus lines, and can reach farther districts along the subway and the bus lines.

The present embodiment employs a G2SFCA model based on a supply competition and multi-line approach (SCM-G2 SFCA model, i.e., models represented by formulas (12) to (15)) to evaluate park reachability. And calculating the supply-demand ratio of each park in each travel mode according to the acquired supply scale data, competition weight and demand scale data of each park, and further calculating the park accessibility of each cell in each travel mode. For the calculation result of the park reachability, a rating standard is divided for the park reachability. The method specifically comprises the following steps: the accessibility of the park is more than 2.0, and the service is sufficient; the accessibility of the park is 1.5-2.0, and the accessibility is good; the accessibility of the park is 1.0-1.5, and the accessibility is good; the accessibility of the park is 0.5-1.0, and the accessibility is weak or general; the accessibility of the park is 0-0.5, and the accessibility is weak or the service is deficient; park reachability is 0, no service.

And calculating to obtain the distribution condition of park accessibility of the cell in the whole research area in each travel mode by adopting a Krigin interpolation method. In the driving travel mode, the maximum value of the park accessibility of all the cells in the research area is 2.62, and the minimum value is 1.26, namely, the park accessibility of all the cells is more than 1.26. The reason for this is that driving is fast, the time consumption for passing is small, residents can arrive at the park faster, and all districts can obtain better park service. Under a public transportation travel mode, the maximum accessibility of the park in the southeast part of the research area can reach 16.20, the accessibility of the park is high, and sufficient park service can be obtained; and the park accessibility of the northern urban area is the lowest, and a cell with the accessibility of 0 exists, so that the park service is relatively deficient. Compared with the driving trip, the public transport trip mode is greatly influenced by the subway bus route, so that the traffic conditions of the subway and the peripheral cells of the bus route are better, the accessibility of the park is higher, and sufficient park service can be obtained. Under the riding and walking travel modes, the accessibility of the park in the north of the research area is low, a cell with the accessibility of 0 exists, and the park service cannot be obtained in 39 minutes in the cell with the accessibility of 0; the maximum accessibility of suburban parks in the southeast can reach 8.83 and 25.12 respectively, and the accessibility of parks is higher. Research results show that the accessibility distribution of the parks in the research area has obvious spatial difference. Among them, the north of the research area is the central urban area of a certain city, the traffic is developed but the park area is small and the number is rare, and the park accessibility is low. The park in the south of the study area has the highest accessibility and sufficient park services are available.

Therefore, the embodiment also calculates the comprehensive reachability of the cell in multiple travel modes through an SCM-G2SFCA model, further explores the park reachability in daily commutes, and obtains the park reachability distribution condition of the research area. Research shows that the minimum value of comprehensive accessibility of parks in all cells of a research area is 0.62, the parks are mainly distributed in urban areas in the north and the northwest, and the park service is relatively deficient; the maximum value of the comprehensive accessibility of the parks in the research area is 8.99, and the parks are mainly distributed in a plurality of large-scale park aggregations in the southeast part of the research area, and the area can obtain sufficient park services; the park comprehensive accessibility in the research area is more than 0, so that residents in the research area can obtain park services in 39 minutes in daily commutes.

Since the street is the smallest administrative unit, in order to quantitatively research the park accessibility differences of different streets, the park accessibility of the cell in the street in each travel mode is averaged, and the distribution condition of the park accessibility of the street in each travel mode is obtained.

Under a driving travel mode, 6 streets can obtain sufficient park services, and the accessibility of the parks can reach more than 2.0; the park accessibility of other streets is between 1.5 and 2.0, and the park accessibility is good. Under the public transportation travel mode, the accessibility of parks of 4 streets in the southern urban area can reach more than 2.0, the accessibility of the parks is high, and sufficient park service can be obtained; park accessibility of 8 streets located in the northeast and northwest of the research area is 0.5-1.0, and the park accessibility is general; park accessibility is 0-0.5 for the north 4 streets, because the 4 streets are farther away from the park, resulting in poor park service for that area. In a riding travel mode, the park accessibility of only 2 streets in the south can reach more than 2.0, and sufficient park service can be obtained; park accessibility of most northern street parks is only 0-0.5, and the park services are relatively deficient. In the walking mode, the park accessibility of 2 streets in the south can reach more than 2.0, and sufficient park service can be obtained; park accessibility of most northern street parks is only 0-0.5, and the park services are relatively deficient. The walking mode is similar to the riding mode, but the accessibility distribution of the park is more unbalanced, the south suburb park service supply of the research area is sufficient, and the north urban park service is seriously deficient. Research results show that the accessibility distribution of the street parks in the research area has obvious spatial difference and shows obvious north-south high-north low. Wherein, the north part is the central city area of a certain city, and the accessibility of the park is low; 2 streets in the south are suburbs of a certain city, and the accessibility of the park is higher.

Further, the comprehensive accessibility of the street parks in the four travel modes is averaged, and the comprehensive accessibility of each street park in daily commutes can be investigated. In daily commute, the park with 2 streets has the highest comprehensive accessibility, and the value of the comprehensive accessibility of the park is more than 2.0; the park comprehensive accessibility of 4 streets is high and can reach 1.5-2.0; the comprehensive accessibility of the parks of 2 streets is lower, and the comprehensive accessibility of the parks is only 0.5-1.0; the park comprehensive accessibility of the rest streets is common, and is 1.0-1.5. Research results show that the comprehensive accessibility of parks in streets in the research area has obvious distribution difference, the characteristics of obvious south, high and north are presented, the comprehensive accessibility of parks in 2 streets in suburbs in the south is the highest, and more sufficient park service can be obtained; park comprehensive accessibility of 2 streets in northern urban areas is lowest, and park services are relatively scarce.

In summary, the embodiments of the present invention introduce the competitive weight when determining the supply-demand ratio of the service facility, where the competitive weight may represent the popularity of the service facility, and compared with the supply scale data representing the service capability of the service facility objectively, the competitive weight may represent the service capability of the service facility subjectively and may reflect the competitive relationship between different service facilities, so that the service capability of the service facility may be more accurately reflected, and the accuracy of the reachability evaluation of the service facility may be further improved. Meanwhile, the search radius is set based on the transit time threshold, the service facility accessibility of the service demand area is evaluated through the transit time, the service facility accessibility of the service demand area is analyzed from the perspective of various travel modes, and the accuracy and comprehensiveness of the service facility accessibility evaluation are improved.

Fig. 3 is a schematic structural diagram of an evaluation apparatus for service facility reachability provided by an embodiment of the present invention. As shown in fig. 3, the service facility reachability evaluation apparatus 300 includes: a service facility and service requirement region determining module 310, configured to determine at least one service requirement region served by each service facility in a target region, and determine at least one service facility corresponding to each service requirement region in the target region; a data obtaining module 320, configured to obtain supply scale data of each service facility in the target area, a competition weight, and demand scale data of each service demand area, where the competition weight is used to indicate a popularity of the service facility; a supply-demand ratio determination module 330, configured to determine a supply-demand ratio of each service facility according to the supply scale data of each service facility, the competition weight, and the demand scale data of the at least one service demand area served by each service facility; the reachability determining module 340 is configured to determine reachability of the service facility in each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area.

In some embodiments, the competition weight is manually assessed based on a preset service experience evaluation rule.

In some embodiments, the apparatus comprises:

the search radius setting module is used for setting a search radius based on a preset passing distance threshold;

the service facility and service requirement region determining module is specifically configured to:

In some embodiments, the supply-to-demand ratio determining module is specifically configured to:

the reachability determination module includes:

the reachability determination unit is used for determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area and the distance weight of each service facility in the at least one service facility, wherein the distance weight of the at least one service facility is reduced along with the increase of the traffic distance between the at least one service facility and the corresponding service demand area.

In some embodiments, the apparatus comprises:

the search radius setting module is used for setting a search radius based on a preset passing time threshold;

In some embodiments, the supply-demand ratio determination module is specifically configured to:

the reachability determination module includes:

the reachability determination unit is used for determining the service facility reachability of each service demand area according to the supply-demand ratio of the at least one service facility corresponding to each service demand area and the time weight of each service facility in the at least one service facility, wherein the time weight of the at least one service facility is reduced along with the increase of the passing time between the at least one service facility and the corresponding service demand area.

In some embodiments, the search radius setting module is specifically configured to:

the supply-demand ratio determining module is specifically configured to:

the reachability determination module includes:

and the reachability determining unit is used for determining the reachability of the service facility of each service demand area in each travel mode according to the supply-demand ratio of the at least one service facility corresponding to each service demand area in each travel mode.

In some embodiments, the reachability determination module further comprises:

and the comprehensive reachability determination unit is used for determining the service facility reachability of each service demand area in a plurality of travel modes according to the service facility reachability of each service demand area in the plurality of travel modes.

In some embodiments, the apparatus further comprises:

the reachability weight determination module is used for determining reachability weights of service facilities in a plurality of travel modes according to the use frequencies of the plurality of travel modes in the target area;

the comprehensive reachability determination unit is specifically configured to:

and obtaining the service facility reachability of each service demand area in a plurality of travel modes according to the service facility reachability and reachability weight of each service demand area in the plurality of travel modes.

Fig. 4 shows an electronic device of an embodiment of the invention. As shown in fig. 4, the electronic device 400 includes: at least one processor 410, and a memory 420 communicatively coupled to the at least one processor 410, wherein the memory stores instructions executable by the at least one processor to cause the at least one processor to perform a method.

Specifically, the memory 420 and the processor 410 are connected together via the bus 430, and can be a general memory and a processor, which are not limited in particular, and when the processor 410 executes a computer program stored in the memory 420, the operations and functions described in the embodiments of the present invention in conjunction with fig. 1 to 3 can be performed.

In an embodiment of the present invention, the electronic device 400 may include, but is not limited to: personal computers, server computers, workstations, desktop computers, laptop computers, notebook computers, mobile computing devices, smart phones, tablet computers, personal Digital Assistants (PDAs), handheld devices, messaging devices, wearable computing devices, and the like.

Embodiments of the present invention also provide a storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement a method. For specific implementation, reference may be made to the method embodiment, which is not described herein again. In particular, a system or apparatus may be provided which is provided with a storage medium on which software program code implementing the functionality of any of the embodiments described above is stored and which causes a computer or processor of the system or apparatus to read and execute instructions stored in the storage medium. The program code itself read from the storage medium can realize the functions of any of the above embodiments, and thus the machine-readable code and the storage medium storing the machine-readable code form part of the present invention.

The storage medium includes, but is not limited to, a floppy disk, a hard disk, a magneto-optical disk, an optical disk, a magnetic tape, a nonvolatile memory card, and a ROM. The program code may also be downloaded from a server computer or from the cloud via a communications network.

It should be noted that, in each of the above flows and each system structure, not all the steps and modules are necessary, and some of the steps and units may be omitted according to actual needs. The execution order of the steps is not fixed, and can be determined as required. The device structure described in the above embodiments may be a physical structure or a logical structure. A module or a unit may be implemented by the same physical entity, a module or a unit may be implemented by a plurality of physical entities respectively, or a module or a unit may be implemented by a plurality of components in a plurality of independent devices together.

While embodiments of the present examples have been disclosed above, they are not limited to the applications listed in the specification and the examples. It is fully applicable to a variety of fields in which embodiments of the present invention are suitable. Additional modifications will readily occur to those skilled in the art. Therefore, the embodiments of the invention are not to be limited to the specific details and illustrations shown and described herein, without departing from the general concept defined by the claims and their equivalents.

Claims

1. A method for assessing service facility reachability, comprising:

2. The method for evaluating reachability of service facility according to claim 1, wherein the competitive weight is manually evaluated based on a preset service experience evaluation rule.

3. The method of assessing service facility reachability according to claim 1, comprising:

setting a search radius based on a preset passing distance threshold;

4. The method for evaluating reachability of service facility according to claim 3, wherein said determining a supply-to-demand ratio of each service facility based on supply scale data, competition weight, and demand scale data of said at least one service demand region serviced by each service facility, comprises:

determining a supply-demand ratio of each service facility according to supply scale data of each service facility, a competition weight, demand scale data of the at least one service demand area served by each service facility and a distance weight of each service demand area in the at least one service demand area, wherein the distance weight of the at least one service demand area is reduced along with the increase of the traffic distance between the at least one service demand area and the corresponding service facility;

5. The method of assessing service facility reachability according to claim 1, comprising:

setting a search radius based on a preset transit time threshold;

6. The method for evaluating reachability of service facility according to claim 5, wherein said determining a supply-to-demand ratio of each service facility based on supply scale data, competition weight, and demand scale data of said at least one service demand region serviced by each service facility, comprises:

7. The method for assessing reachability of a service facility of claim 5, wherein said setting a search radius based on a preset transit time threshold comprises:

and determining the service facility reachability of each service demand area in each travel mode according to the supply-demand ratio of the at least one service facility corresponding to each service demand area in each travel mode.

8. The method for evaluating reachability of service facility according to claim 7, wherein after determining reachability of service facility in each travel mode for each service demand area according to supply-demand ratio of the at least one service facility corresponding to each service demand area in each travel mode, the determining reachability of service facility in each service demand area according to supply-demand ratio of the at least one service facility corresponding to each service demand area further comprises:

9. The method for assessing reachability of a service facility of claim 8, further comprising:

10. An apparatus for evaluating service facility reachability, comprising: