CN116402548A - Method and device for determining saturation state of commercial area based on signaling data and POI data - Google Patents

Method and device for determining saturation state of commercial area based on signaling data and POI data Download PDF

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CN116402548A
CN116402548A CN202310677637.3A CN202310677637A CN116402548A CN 116402548 A CN116402548 A CN 116402548A CN 202310677637 A CN202310677637 A CN 202310677637A CN 116402548 A CN116402548 A CN 116402548A
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CN116402548B (en
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邓琦
梁天鹏
朱轩平
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Guangxi Daye Intelligent Data Co ltd
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Beijing Daye Smart Data Technology Service Co ltd
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Abstract

The invention provides a method for determining saturation state of a commercial area based on signaling data and POI data, which comprises the following steps: acquiring business POI data and facility POI data in a research area; clustering the commercial POIs in the research area based on the commercial POI data to obtain commercial areas to which the commercial POIs belong; the steps of determining a business level, and determining business saturation by comparing the business level and the business level are performed for any of the businesses. The invention can analyze the scale and the facility condition of the places gathered by some new shops and judge whether a stable business circle is formed or not through analyzing the signaling data and the POI, thereby providing reference for a manager to formulate a management scheme.

Description

Method and device for determining saturation state of commercial area based on signaling data and POI data
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a method and a device for determining saturation state of a commercial area based on signaling data and POI data.
Background
The academic definition of business is the dynamic space range created by the direct or indirect overlap of the retail business's business activities and consumer's consumption activities, where the business's business land and activities are referred to as the business's area.
Over time, resources such as public facilities, business POIs, etc. in a business area may be updated, thereby resulting in redundancy or oversaturation of resources in the business area.
Accordingly, there is a need for a method for determining saturation of a business district, so that a manager can adjust the resource allocation in the business district based on the saturation of the business district, and the resources can be reasonably utilized.
Disclosure of Invention
In order to solve the defects existing in the prior art, the invention aims to provide a method for determining the saturation state of a business area based on signaling data and POI data, analyzing the scale and the facility condition of a plurality of new shops gathered on the ground and judging whether a stable business circle is formed or not, and providing reference for a manager to formulate a management scheme.
To achieve the above object, the present invention provides a method for determining saturation status of a commercial area based on signaling data and POI data, comprising the steps of:
acquiring business POI data and facility POI data in a research area;
clustering the commercial POIs in the research area based on the commercial POI data to obtain commercial areas to which the commercial POIs belong, wherein the commercial areas are areas with continuous geographic space;
for any of the business regions: determining boundaries of the business district based on a convex hull algorithm; calculating an area of the business region based on the boundary of the business region; calculating the number of public facilities covering the business area based on the facility POI data and the boundaries of the business area; acquiring signaling data of consumers in the business area; determining a residence of the consumer based on the signaling data; determining a range of business circles to which the business district belongs based on the residence of the consumer; counting the number of commercial POIs in the commercial area; determining a level of the business area based on an area of the business area, a number of business POIs within the business area, and a number of public facilities covering the business area; acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; determining a level of the business turn based on the number of service people; calculating a saturation state of the business district based on the level of the business district and the level of the business district;
wherein the saturation state of the business district is used for representing the saturation degree of resources in the business district.
Further, clustering the commercial POIs in the research area based on the commercial POI data to obtain a commercial area to which the commercial POIs belong, including:
calculating distances between commercial POIs based on the commercial POI data; the distance between the Nth commercial POI and the nearest commercial POI is P, and the distance between the Nth commercial POI and the next nearest commercial POI is Q;
traversing each business POI if the business POI satisfies P.ltoreq.P 0i 、Q≤Q 0i The business POI, the business POI closest to the business POI and the business POI next closest to the business POI belong to the same business area;
wherein P is 0i And Q 0i Is a preset threshold.
Further, determining a range of business territories to which the business district belongs based on the residence of the consumer includes:
and determining the range of the business district based on the residence of the consumer and an alpha shape algorithm.
Further, calculating the number of public facilities covering the business area based on the facility POI data and the boundaries of the business area, comprising:
calculating a distance of the public facility from a boundary of the business area based on the facility POI data and the boundary of the business area;
calculating the number of public facilities covering the business area based on the distance between the public facilities and the boundary of the business area; wherein the public facility covers the business area if the distance of the public facility from the boundary of the business area is less than a preset distance threshold.
Further, calculating a saturation state of the business zone based on the level of the business zone and the level of the business zone, comprising:
if the level of the business district is smaller than the level of the business district, determining that the business district is in a supersaturated state;
if the level of the business district is equal to the level of the business district, determining that the business district is in a saturated state;
if the business district is at a level greater than the business district, determining that the business district is in an unsaturated state.
Further, the commercial POI data comprises data of a plurality of commercial POIs;
the method further comprises: determining a target POI visited by the consumer based on the signaling data, and if the target POI is located within the business region, not in the plurality of business POIs, and the target POI belongs to a consumption location, regarding the target POI as a business POI, and performing: counting the number of commercial POIs in the commercial area; determining a level of the business area based on an area of the business area, a number of business POIs within the business area, and a number of public facilities covering the business area; acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; determining a level of the business turn based on the number of service people; based on the level of the business district and the level of the business district, a saturation state of the business district is calculated.
Still further, the method further comprises:
and determining whether the single stay time of the consumer in the business area is greater than a time threshold based on the signaling data, if so, acquiring the consumption data of the consumer, determining whether the consumption times of the consumer in a preset time range are greater than a time threshold according to the consumption data, and if so, executing the signaling data-based method and determining the residence place of the consumer.
To achieve the above object, the present invention also provides an apparatus for determining saturation status of a commercial area based on signaling data and POI data, comprising
The division module is configured to acquire business POI data and facility POI data in the research area; clustering the commercial POIs in the research area based on the commercial POI data to obtain commercial areas to which the commercial POIs belong;
a determination module configured to, for any of the business areas: determining boundaries of the business district based on a convex hull algorithm; calculating an area of the business region based on the boundary of the business region; calculating the number of public facilities covering the business area based on the facility POI data and the boundaries of the business area; acquiring signaling data of consumers in the business area; determining a residence of the consumer based on the signaling data; determining a range of business circles to which the business district belongs based on the residence of the consumer; counting the number of commercial POIs in the commercial area; determining a level of the business area based on an area of the business area, a number of business POIs within the business area, and a number of public facilities covering the business area; acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; determining a level of the business turn based on the number of service people; calculating a saturation state of the business district based on the level of the business district and the level of the business district;
wherein the saturation state of the business district is used for representing the saturation degree of resources in the business district.
To achieve the above object, the present invention further provides an electronic device, including a memory and a processor, where the memory stores a program running on the processor, and the processor executes the steps of the method for determining a saturation state of a business area based on signaling data and POI data.
To achieve the above object, the present invention also provides a computer readable storage medium having stored thereon computer instructions which, when executed, perform the steps of the above method for determining saturation status of a business area based on signaling data and POI data.
Compared with the prior art, the method for determining the saturation state of the commercial area based on the signaling data and the POI data has the following beneficial effects:
(1) According to the method and the system, the saturation state of the business area can be conveniently judged through the signaling data and the POI data, wherein the saturation state comprises the saturation of a merchant, the saturation of a customer and the like;
(2) The invention can analyze the scale and the facility condition of some new shops and judge whether a stable business circle is formed or not, thereby providing reference basis for planning by a manager.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, and do not limit the invention. In the drawings:
FIG. 1 is a flow chart of a method for determining saturation conditions of a business segment based on signaling data and POI data in accordance with the present invention;
fig. 2 is a schematic diagram of an apparatus for determining saturation status of a commercial region based on signaling data and POI data according to the present invention.
Detailed Description
Embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While the invention is susceptible of embodiment in the drawings, it is to be understood that the invention may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided to provide a more thorough and complete understanding of the invention. It should be understood that the drawings and embodiments of the invention are for illustration purposes only and are not intended to limit the scope of the present invention.
It should be understood that the various steps recited in the method embodiments of the present invention may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the invention is not limited in this respect.
The term "including" and variations thereof as used herein are intended to be open-ended, i.e., including, but not limited to. The term "based on" is based at least in part on. The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments. Related definitions of other terms will be given in the description below.
It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those skilled in the art will appreciate that "one or more" is intended to be construed as "one or more" unless the context clearly indicates otherwise. "plurality" is understood to mean two or more.
Interpretation of the terms
POI: the abbreviation of Point of Interest, called point of interest, refers broadly to point class data in internet electronic maps.
Cell phone signaling data: the communication data between the mobile phone user and the transmitting base station or the micro station shows the words of operators on the mobile phone screen after the mobile phone is started, the signaling data is generated, the English name is Mobile Signal Data, namely, the space position of the user is determined through the information exchange of the mobile phone user between the base stations, and the space-time track of the people stream can be recorded relatively accurately.
Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Example 1
Fig. 1 is a flowchart of a method of determining saturation of a commercial area based on signaling data and POI data according to the present invention, and a detailed description will be given below of a method of determining saturation of a commercial area based on signaling data and POI data according to the present invention with reference to fig. 1.
As shown in fig. 1, an embodiment of the present invention provides a method for determining saturation status of a commercial area based on signaling data and POI data, including:
step 101: commercial POI data and facility POI data within the investigation region are acquired.
The commercial POI data of the research area comprises POI basic data such as names, addresses, longitude and latitude, labels and the like of the POI data.
POIs are classified into commercial POIs such as restaurant, convenience store, clothing store, etc., and facility POIs such as bus stops, subway stops, parking lots, shared bicycle parking areas, etc., according to the tags of the POI data.
Step 102: and clustering the commercial POIs in the research area based on the commercial POI data to obtain a commercial area to which the commercial POIs belong.
The business region is a geospatially contiguous area, such as a commercial pedestrian street, shopping mall, commercial complex, or the like, that forms a contiguous sheeting area in geospatial.
Then, for any one of the business areas, the following steps are performed:
step 103: determining boundaries of the business district based on a convex hull algorithm; calculating an area of the business region based on the boundary of the business region; based on the facility POI data and the boundaries of the business district, the number of public facilities covering the business district is calculated.
Step 104: acquiring signaling data of consumers in the business area; determining a residence of the consumer based on the signaling data; the range of business district affiliated business district is determined based on residence of consumer.
Consumer consumption data may be obtained by obtaining signaling data for consumers within the business segment. By consumer is meant a consumer who stays in the commercial area continuously for more than half an hour.
The signaling data is analyzed to analyze the evening stay time of the consumer to judge the residence of the consumer, for example, if the consumer has a stay time of more than 6 hours in a certain residence from 22:00 to 6:00 in the next day in more than 20 days in one month, the place is judged to be the residence of the consumer.
Step 105: and counting the number of commercial POIs in the commercial area.
Step 106: a level of the business segment is determined based on an area of the business segment, a number of business POIs within the business segment, and a number of public facilities covering the business segment.
The business district levels may be divided into, for example, a large business district, a medium business district, and a small business district according to different planning designs, and the areas of the business districts, the number of business POIs within the business district, and the number of public facilities covering the business district are different for different types of business districts.
Step 107: acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; and determining the level of the business turn based on the number of service people.
The best matching business turn for different types of business areas is determined based on the number of people they serve. Business circles may be classified into a city level, a region level, a community level, and a neighborhood level based on the number of service persons, and business areas may be classified into a city level, a region level, a community level, and a neighborhood level based on the number of public facilities, a business building area, and the number of businesses.
Step 108: calculating a saturation state of the business district based on the level of the business district and the level of the business district; wherein the saturation state of the business district is used for representing the saturation degree of resources in the business district.
The embodiment of the invention determines the saturation degree of the commercial area based on the commercial POI data and facility POI data in the research area and the signaling data of consumers, and the saturation degree can accurately reflect the resource allocation situation in the commercial area, thereby being beneficial to a manager to reasonably plan the facility POI and the commercial POI in the commercial area so as to provide better urban service for urban residents.
In one embodiment of the present invention, clustering the commercial POIs in the research area based on the commercial POI data to obtain a commercial area to which the commercial POIs belong includes:
calculating distances between commercial POIs based on the commercial POI data; the distance between the Nth commercial POI and the nearest commercial POI is P, and the distance between the Nth commercial POI and the next nearest commercial POI is Q;
traversing each business POI if the business POI satisfies P.ltoreq.P 0i 、Q≤Q 0i The business POI, the business POI closest to the business POI and the business POI next closest to the business POI belong to the same business area;
wherein P is 0i And Q 0i Is a preset threshold.
In one embodiment of the invention, determining the extent of the business district based on the residence of the consumer comprises:
and determining the range of the business district based on the residence of the consumer and an alpha shape algorithm.
In one embodiment of the invention, calculating the number of public facilities covering the business area based on the facility POI data and the boundaries of the business area includes:
calculating a distance of the public facility from a boundary of the business area based on the facility POI data and the boundary of the business area;
calculating the number of public facilities covering the business area based on the distance between the public facilities and the boundary of the business area; wherein the public facility covers the business area if the distance of the public facility from the boundary of the business area is less than a preset distance threshold.
In one embodiment of the invention, calculating the saturation state of the business district based on the level of the business district and the level of the business district comprises:
if the business district is at a level less than the business district, determining that the business district is oversaturated, which means that the saturation level of the consumer is lower, and the business district level should be increased, for example, by the following measures: a plurality of sales promotion activities are carried out; increasing the advertising strength; calculating store plateau effect (ratio of store sales and area), store effect (ratio of sales and store number) of business district;
if the level of the business district is equal to the level of the business district, determining that the business district is in a saturated state;
if the business district is at a higher level than the business district, the business district is determined to be in an unsaturated state, and the business district level is increased when the consumer saturation is higher. Since factors affecting the business district level are business district area, business house number and facility status, the business district level can be raised by the following measures: properly expanding the business space, and determining the expansion area by calculating the average business area (1-1.2 is a reasonable range in general); the business-attracting force is increased, and more merchants are attracted; comprehensively analyzing the conditions of facilities around the commercial area to formulate a specific upgrading scheme and the like.
Because the development level of each city in China is different, the horizontal and longitudinal analysis and comparison should be carried out according to the industries and regions when calculating the business area, the lawn effect and the store effect of people.
In one embodiment of the invention, the method further comprises:
determining a target POI visited by the consumer based on the signaling data, if the target POI is located in the commercial area and the target POI belongs to a consumption place, using the target POI as a commercial POI, and executing: counting the number of commercial POIs in the commercial area; determining a level of the business area based on an area of the business area, a number of business POIs within the business area, and a number of public facilities covering the business area; acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; determining a level of the business turn based on the number of service people; based on the level of the business district and the level of the business district, a saturation state of the business district is calculated.
In one embodiment of the invention, the method further comprises:
and determining whether the single stay time of the consumer in the business area is greater than a time threshold based on the signaling data, if so, acquiring the consumption data of the consumer, determining whether the consumption times of the consumer in a preset time range are greater than a time threshold according to the consumption data, and if so, executing the signaling data-based method and determining the residence place of the consumer.
As shown in FIG. 2, an embodiment of the present invention provides an apparatus for determining saturation of a business region based on signaling data and POI data, comprising
A partitioning module 201 configured to acquire commercial POI data and facility POI data within a study area; clustering the commercial POIs in the research area based on the commercial POI data to obtain commercial areas to which the commercial POIs belong;
a determination module 202 configured to, for any of the business areas: determining boundaries of the business district based on a convex hull algorithm; calculating an area of the business region based on the boundary of the business region; calculating the number of public facilities covering the business area based on the facility POI data and the boundaries of the business area; acquiring signaling data of consumers in the business area; determining a residence of the consumer based on the signaling data; determining a range of business circles to which the business district belongs based on the residence of the consumer; counting the number of commercial POIs in the commercial area; determining a level of the business area based on an area of the business area, a number of business POIs within the business area, and a number of public facilities covering the business area; acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; determining a level of the business turn based on the number of service people; calculating a saturation state of the business district based on the level of the business district and the level of the business district;
wherein the saturation state of the business district is used for representing the saturation degree of resources in the business district.
The embodiment of the invention also provides electronic equipment, which comprises: the system comprises a memory and a processor, wherein the memory stores a program running on the processor, and the processor executes the steps of the method for determining the saturation state of the commercial area based on signaling data and POI data when running the program. The method for determining the saturation state of the commercial area based on the signaling data and the POI data is referred to the description of the previous section and will not be repeated.
The embodiment of the invention also provides a computer readable storage medium, on which computer instructions are stored, the computer instructions execute the steps of the method for determining the saturation state of the business area based on the signaling data and the POI data, and the method for determining the saturation state of the business area based on the signaling data and the POI data is referred to the description of the previous parts and is not repeated.
Those of ordinary skill in the art will appreciate that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. A method of determining saturation conditions of a business area based on signaling data and POI data, comprising the steps of:
acquiring business POI data and facility POI data in a research area;
clustering the commercial POIs in the research area based on the commercial POI data to obtain commercial areas to which the commercial POIs belong, wherein the commercial areas are areas with continuous geographic space;
for any of the business regions: determining boundaries of the business district based on a convex hull algorithm; calculating an area of the business region based on the boundary of the business region; calculating the number of public facilities covering the business area based on the facility POI data and the boundaries of the business area; acquiring signaling data of consumers in the business area; determining a residence of the consumer based on the signaling data; determining a range of business circles to which the business district belongs based on the residence of the consumer; counting the number of commercial POIs in the commercial area; determining a level of the business area based on an area of the business area, a number of business POIs within the business area, and a number of public facilities covering the business area; acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; determining a level of the business turn based on the number of service people; calculating a saturation state of the business district based on the level of the business district and the level of the business district;
wherein the saturation state of the business district is used for representing the saturation degree of resources in the business district.
2. The method of claim 1, wherein clustering the business POIs in the research area based on the business POI data to obtain a business area to which the business POI belongs comprises:
calculating distances between commercial POIs based on the commercial POI data; the distance between the Nth commercial POI and the nearest commercial POI is P, and the distance between the Nth commercial POI and the next nearest commercial POI is Q;
traversing each business POI if the business POI satisfies P.ltoreq.P 0i 、Q≤Q 0i The business POI, the business POI closest to the business POI and the business POI next closest to the business POI belong to the same business area;
wherein P is 0i And Q 0i Is a preset threshold.
3. The method of claim 1, wherein the step of determining the position of the substrate comprises,
determining a range of business circles to which the business district belongs based on the residence of the consumer, comprising:
and determining the range of the business district based on the residence of the consumer and an alpha shape algorithm.
4. The method of claim 1, wherein the step of determining the position of the substrate comprises,
calculating a number of public facilities covering the business area based on the facility POI data and the boundaries of the business area, comprising:
calculating a distance of the public facility from a boundary of the business area based on the facility POI data and the boundary of the business area;
calculating the number of public facilities covering the business area based on the distance between the public facilities and the boundary of the business area; wherein the public facility covers the business area if the distance of the public facility from the boundary of the business area is less than a preset distance threshold.
5. The method of claim 1, wherein the step of determining the position of the substrate comprises,
calculating a saturation state of the business district based on the level of the business district and the level of the business district, comprising:
if the level of the business district is smaller than the level of the business district, determining that the business district is in a supersaturated state;
if the level of the business district is equal to the level of the business district, determining that the business district is in a saturated state;
if the business district is at a level greater than the business district, determining that the business district is in an unsaturated state.
6. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the business POI data comprises data of a plurality of business POIs;
the method further comprises: determining a target POI visited by the consumer based on the signaling data, and if the target POI is located within the business region, not in the plurality of business POIs, and the target POI belongs to a consumption location, regarding the target POI as a business POI, and performing: counting the number of commercial POIs in the commercial area; determining a level of the business area based on an area of the business area, a number of business POIs within the business area, and a number of public facilities covering the business area; acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; determining a level of the business turn based on the number of service people; based on the level of the business district and the level of the business district, a saturation state of the business district is calculated.
7. The method as recited in claim 1, further comprising:
and determining whether the single stay time of the consumer in the business area is greater than a time threshold based on the signaling data, if so, acquiring the consumption data of the consumer, determining whether the consumption times of the consumer in a preset time range are greater than a time threshold according to the consumption data, and if so, executing the signaling data-based method and determining the residence place of the consumer.
8. An apparatus for determining saturation status of a business region based on signaling data and POI data, comprising
The division module is configured to acquire business POI data and facility POI data in the research area; clustering the commercial POIs in the research area based on the commercial POI data to obtain commercial areas to which the commercial POIs belong;
a determination module configured to, for any of the business areas: determining boundaries of the business district based on a convex hull algorithm; calculating an area of the business region based on the boundary of the business region; calculating the number of public facilities covering the business area based on the facility POI data and the boundaries of the business area; acquiring signaling data of consumers in the business area; determining a residence of the consumer based on the signaling data; determining a range of business circles to which the business district belongs based on the residence of the consumer; counting the number of commercial POIs in the commercial area; determining a level of the business area based on an area of the business area, a number of business POIs within the business area, and a number of public facilities covering the business area; acquiring transaction data of business POIs in the business circles; determining a number of servicers for the business turn based on the transaction data; determining a level of the business turn based on the number of service people; calculating a saturation state of the business district based on the level of the business district and the level of the business district;
wherein the saturation state of the business district is used for representing the saturation degree of resources in the business district.
9. An electronic device comprising a memory and a processor, the memory having stored thereon a program that is executed on the processor, the processor executing the steps of the method of determining saturation status of a business segment based on signaling data and POI data as defined in any one of claims 1-7.
10. A computer readable storage medium having stored thereon computer instructions which, when run, perform the steps of the method of determining saturation status of a business area based on signaling data and POI data as defined in any one of claims 1-7.
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