CN115660739A - Urban business strategy data processing method - Google Patents

Urban business strategy data processing method Download PDF

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Publication number
CN115660739A
CN115660739A CN202211679314.XA CN202211679314A CN115660739A CN 115660739 A CN115660739 A CN 115660739A CN 202211679314 A CN202211679314 A CN 202211679314A CN 115660739 A CN115660739 A CN 115660739A
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area
business
business circle
circle
commercial
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CN202211679314.XA
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朱绍康
汤鹏
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Shanghai Qikun Information Technology Co ltd
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Shanghai Qikun Information Technology Co ltd
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Abstract

The invention discloses a city business strategy data processing method, which specifically comprises the following steps: the method comprises the following steps: determining a range area needing to be subjected to city business strategy adjustment through a map, and primarily determining a central business circle area, a transition business circle area and a peripheral business circle area in the determined range area; step two: acquiring the traffic condition, the commodity room living condition, the office area and the utilization rate of the business area of a central business circle area; acquiring the traffic condition, the house living condition and the business area utilization rate of a transitional business circle area; acquiring the housing living condition and the commercial area utilization rate of a peripheral commercial circle area; according to the invention, the daily path of the user in the address selection range area is analyzed by constructing the APP, the on-line appeal survey is carried out, and the off-line survey mode is synchronously combined, so that the data basis of city business address selection and development is enriched, and the planning of a later-stage business strategy can be made in advance.

Description

Urban business strategy data processing method
Technical Field
The invention belongs to the technical field of big data processing, and particularly relates to a city business strategy data processing method.
Background
Urban commerce is one of important factors for developing cities, and urban commercial outlets are important occasions for commercial activities, and are a very important type of spatial information gathered in cities, and contain abundant information such as positions, geometric forms, areas, business types, turnover, renting and selling conditions, wherein the positions are spatial features of the commercial outlets, and the areas, the business types, the turnover, the renting and selling conditions and the like belong to attribute features. The information is influenced by natural, social and economic factors, has various expression forms and is very complex. The commercial network information has important significance for the common public, enterprises, governments and the like, and the public can obtain consumption information through the commercial network information so as to provide convenience for life; enterprises can know the client, marketing information and the like, and profit is brought to the enterprises; the government can conduct macroscopic guidance on the construction of commercial network points, standardize the market and promote the development of economy. With the acceleration of the urbanization process, the continuous improvement of the income level of residents and the wider orbit of Chinese business and international business after the addition of WTO, at present, the urban business is influenced by on-line business and can bring certain influence to the issuance of the urban business, and a method for processing urban business strategy data is disclosed in publication No. CN113487341A, and the patent obtains the optimal position of a business network point by combining and analyzing the on-line data and the off-line data of the business.
However, in the above patent, in the site selection of the commercial site location, the current target population, geographic location, and other conditions are mainly analyzed through online data, and the site selection mode is based on the analysis of the previous and current big data, so that although the positioning can be quickly realized in the previous and middle periods, it cannot be guaranteed that the commercial site of the site still has excellent commercial properties in a long term, and meanwhile, with the wider application of big data, the defect is more and more obvious, which is one of the main obstacles for the policy layout of the current urban commerce, and in the existing processing mode, there is no related processing method, and the existing site selection method through the analysis of the big data is more and more uniform, and there is no novelty, which leads to the more and more limitation of the urban commerce, and thus there is limitation.
Disclosure of Invention
The invention aims to provide a city business strategy data processing method, which aims to solve the problems that the prior on-line data analysis of the prior on-line data proposed in the background technology can not ensure whether the commercial network of the address has excellent business properties for a long time because the site selection mode is based on the analysis of the prior and current big data, and the prior processing mode has no related processing method, and the prior method for selecting the site through the analysis of the big data is more and more uniform, has no novelty, and leads to the more and more limitation of city business.
In order to achieve the purpose, the invention provides the following technical scheme: a city business strategy data processing method specifically comprises the following steps:
the method comprises the following steps: determining a range area needing to be subjected to city business strategy adjustment through a map, and primarily determining a central business circle area, a transition business circle area and a peripheral business circle area in the determined range area;
step two: acquiring the traffic condition, the living condition of a commodity room, the utilization rate of an office area and a commercial area of a central commercial circle area; acquiring the traffic condition, the house living condition and the business area utilization rate of a transitional business circle area; acquiring the housing living condition and the business area utilization rate of a peripheral business circle area;
step three: putting APP or small programs in the selected range area in the first step at a fixed point, guiding the user to download, synchronously acquiring the position information of the user, and periodically sending questionnaire surveys in the early-stage business strategy planning, the middle-stage business strategy adjustment and the later-stage business continuous development;
step four: counting the position information obtained in the third step, removing junk data, sequentially calculating an area with the most staying points, drawing an area with the radius of 300-1000 m by taking the area with the most staying points as the center of a circle, determining the overlapped area of the drawn area and the preliminarily determined central business circle area as a final central business circle area, if the overlapped area does not exist between the drawn area and the preliminarily determined central business circle area, selecting the middle point of the distance between the drawn area and the preliminarily determined central business circle area as the final central business circle area, similarly, determining the position with the least staying points and the preliminarily determined peripheral business circle area to form a final peripheral business circle area, and forming the moderate area with the preliminarily determined transition business circle area with the final transition business circle area;
step five: the city business type of the area is planned according to the time of staying in different areas.
As a preferred technical solution of the present invention, in the first step, a determination method for determining the central commercial circle region, the transition commercial circle region, and the peripheral commercial circle region in the range region is as follows:
A. counting the place with the most pedestrian flow and the most living amount as a central business circle area;
B. the central business circle is connected, and the flow rate and the occupancy have obvious descending trend to be a transitional business circle area;
C. the areas with low overall traffic and low occupancy are the peripheral business circle areas, which are connected with the areas with excessive business circles.
As a preferable technical solution in the present invention, the housing conditions of the commercial housing in the second step do not include statistical data of apartment people and rented people, and the housing conditions of the commercial housing areas outside the transitional commercial housing area include all types of housing population statistics.
As a preferable technical solution in the present invention, in the third step, a certain stopping point is detected in a random, multiple, scattered manner in a manner of removing the garbage data, and buildings, businesses, and people within a range of 20 to 50m of the stopping point are screened, and the garbage data is determined if violation information occurs.
As a preferable technical solution in the present invention, in the method of removing the garbage data in the third step, the screening direction for the crowd includes: scholarly, income, occupation, age, hobbies and interests and living conditions, and when the number of the satisfied conditions is less than the number of the unsatisfied conditions, the generated data is not adopted.
As a preferred technical solution in the present invention, the APP or applet in step three includes a positioning function, a questionnaire survey function, and a personal information uploading function.
As a preferred technical solution in the present invention, in the APP or applet in the third step, the personal information uploading function includes a favorite business brand, a business model, business hours, shopping hours, and consumption level.
As a preferred solution in the present invention, in the fourth step, in the central business circle area of final confirmation, the luxury goods business site location of moderate or high grade is determined again by random, multiple, distributed extraction of user's consumption level and favorite business brand through APP or applet.
As a preferred technical solution in the present invention, traffic routes of the central business circle area, the transitional business circle area and the peripheral business circle area in the fourth step are regulated, and automobile brands, driving times and stopping points passing through three areas on different roads are counted, and the sites of business network points are determined on both sides of the roads.
As a preferred technical solution in the present invention, in the step five, the business types include: catering, cinema, retail sale, shopping and scientific and technological display.
Compared with the prior art, the invention has the beneficial effects that:
in the invention, the daily path of the user in the area of the site selection is analyzed by constructing the APP, the on-line appeal investigation is carried out, and the off-line investigation mode is synchronously combined, so that the data base of the site selection and development of the urban business is enriched, the planning of the business strategy at the later stage can be made in advance.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
The invention provides a technical scheme that: a city business strategy data processing method specifically comprises the following steps:
the method comprises the following steps: determining a range area needing to be subjected to city business strategy adjustment through a map, and primarily determining a central business circle area, a transition business circle area and a peripheral business circle area in the determined range area;
step two: acquiring the traffic condition, the living condition of a commodity room, the utilization rate of an office area and a commercial area of a central commercial circle area; acquiring the traffic condition, the house living condition and the business area utilization rate of a transitional business circle area; acquiring the housing living condition and the commercial area utilization rate of a peripheral commercial circle area;
step three: putting APP or small programs in a selected range area in the step one at a fixed point, guiding a user to download, synchronously acquiring position information of the user, regularly sending questionnaires in early-stage business strategy planning, middle-stage business strategy adjustment and later-stage business continuous development, and in the questionnaires, firstly obtaining the limit of a first-stage business circle layer of a project on a section where the project is located and the total business area of the internal business property through census, and then dividing the limit by the number of the permanent population in the circle layer to obtain the average business area of people in the area; the average business area of people in the area = the total business area of business property ÷ number of the ordinary lives; the maximum exploitable volume of the project = the population of the plot where the project is located x the per-person commercial area in the area;
step four: counting the position information obtained in the third step and removing junk data, sequentially calculating an area with the most stopping points, taking the area with the most stopping points as a circle center, drawing an area with the radius of 700m, determining a superposed area of the drawn area and a preliminarily determined central business circle area as a final central business circle area, if no superposed area exists between the drawn area and the preliminarily determined central business circle area, selecting a middle point of a distance between the drawn area and the preliminarily determined central business circle area as the final central business circle area, similarly, determining the position with the least stopping points and the preliminarily determined peripheral business circle area to form the final peripheral business circle area, and forming the area with moderate stopping points and the preliminarily determined transition business circle area as the final transition business circle area, wherein the central business circle area has the market occupation rate of more than 30 percent and the customer consumption amount of 75 percent of the total sales volume of the shop; a transitional business circle region, wherein the market share rate is more than 10%, and the customer consumption accounts for 25% of the total sales of the shop; the market share of the peripheral business circle area is more than 5%, the customer consumption accounts for 5% of the total sales of the stores, and the same store is obviously interfered and influenced by a plurality of factors in different business periods, so that the range of the business circle is changed, and the business circle is often investigated to adjust the business strategy;
step five: planning the city business type of the area according to the time staying in different areas, and after determining that the psychological recognition of the store by the consumers engaged in shopping behaviors is the root cause of influencing the size of the store, wherein the size of the store is related to whether the consumers select the store to shop, generally speaking, the consumers prefer to shop in the store with consumer attraction, the attractive stores are large in shop area, strong in commodity selectivity, high in brand awareness of commodities and more attractive in sales promotion; conversely, if the distance to the store is long and the traffic system is not clear enough, the consumer will be hesitant and therefore need to actually simulate the traffic in each business area, here, the traffic in the central business circle area is taken as an example:
with the middle point in the central business circle area as a starting point, walking for 15 minutes can reach all positions of the central business circle area
1. The walking speed is the normal walking speed of the consumer;
the drawing mode is as follows:
starting from the middle point in the central business circle area, starting a timing code table at the same time, picking a direction from the road in front of the project to go straight away, stopping the person when meeting the traffic light, keeping the code table ceaselessly until 15 minutes, marking a red point on a map, and taking the red point as the edge of the central business circle area or any position;
according to the mode, all roads around the project are picked for 15 minutes to finish all position marks, all red points are connected to form a closed loop, namely a business circle for 10 minutes of walking, the total walking distance is estimated to exceed 60 kilometers, and four directions around the project can be divided into 2-4 groups through grouping and division.
2. 15 minutes of driving
The place of departure is that the customers stop at the underground parking lots in the central commercial circle area, enter the elevator room and think that the customers arrive at the shopping mall, and the driving speed is limited according to the road speed;
the matching implementation comprises one-man driving, one-man timing and drawing
The drawing mode is the same as the walking implementation mode, and a closed-loop business circle is drawn on all vehicle roads around the project;
3. bus 15-20 minutes
The starting place is the ground of the central point of the central commercial circle area;
the running speed is that the bus runs normally;
and selecting all bus routes five minutes around the project by buses.
In this embodiment, in the first step, the determination method for determining the central commercial circle region, the transition commercial circle region, and the peripheral commercial circle region in the range region is as follows:
A. counting the place with the most pedestrian flow and the most living amount as a central business circle area;
B. the central business circle is connected, and the flow rate and the occupancy have obvious descending trend to be a transitional business circle area;
C. the areas with low overall traffic and low occupancy are the peripheral business circle areas, which are connected with the areas with excessive business circles.
In this embodiment, the living conditions of the commercial houses in the step two do not include statistical data of apartment people and rented people, and compared with general houses, the area of the apartment houses is smaller, so the total price is lower, the house purchasing cost is less, a house purchaser or a house renter can select the apartment houses, the probability of change of the crowd area in the state is higher, in order to ensure the continuous and healthy development of the central business circle, the residents owning the commercial houses should pay more attention, and the living conditions of the houses in the business circle areas at the periphery of the transitional business circle area include all types of housing living people statistics.
In the third step, in this embodiment, a certain stop point is detected in a random, multiple, scattered manner for removing the spam data, and buildings, businesses, and people within 30m of the stop point are screened, and if violation information occurs, the spam data is determined.
In this embodiment, in the manner of removing the spam data in step three, the screening direction for the crowd includes: the method comprises the steps of learning, income, occupation, age, hobbies and interests and living conditions, when the number of the conditions is less than that of the conditions, the generated data is not adopted, the probability of a consumer going to a certain commercial facility for consumption is determined by three main factors of the business area, the scale strength and the time of the commercial facility, the size of the business area of the commercial facility reflects the richness of commodities of a store, the scale strength of the commercial facility reflects the brand quality, promotion activity, reputation and the like of the store, the time from a residence to the commercial facility reflects the convenience of the customer to a destination, the consumption capacity of crowds is required for matching the consumption level of the commercial facility, and the transmission of high-quality data is realized by removing the crowds which are not matched with the commercial facility.
In this embodiment, the APP or applet in step three includes a positioning function, a questionnaire survey function, and a personal information uploading function.
In this embodiment, in the APP or applet in step three, the personal information uploading function includes a favorite business brand, a business model, business hours, shopping hours, and consumption level.
In the fourth step of the embodiment, in the finally confirmed central business circle area, the consumption level and the favorite business brand of the user are randomly, repeatedly and dispersedly extracted through the APP or the small program, and the location of the luxury product business network site with moderate or high grade is determined, wherein the quantity of the business is measured according to the commodity flow, the per-capita retail value and the business level of the business circle; the size of commercial facilities is mainly influenced by two factors: the flow of people and the average amount of consumption of people. Measuring and calculating the maximum capacity of commercial facilities, measuring and calculating the customer flow which is possibly generated by the project address by combining with market research, and according to the research on per capita retail consumption amount of the region where the project is located; the highest total retail revenue possible for the item = customer traffic that may occur for the item address x the per-capita retail consumption of the area where the item is located; the per-capita retail consumption of the region where the project is located = maximum total retail revenue amount ÷ average retail amount per square meter with reference to the commercial facilities in the region; it should be noted that the measured commercial size is the maximum amount of commercially exploitable business within the project area, and therefore, when we want to obtain the maximum amount of exploitable business for a particular project, we need to subtract the amount of business already developed or ready to be developed within the area.
In the embodiment, traffic routes of a central business circle area, a transitional business circle area and a peripheral business circle area in the fourth step are regulated, automobile brands, driving time and stopping points passing through three areas on different roads are counted, the site selection of business network points is determined on two sides of the roads, and in the planning of urban businesses in the later period, the business circle scale of existing stores in a similar market or area is determined according to the difference of the business scale and the business characteristics of the stores laid in the similar market or area, the difference of the distribution of residents, urban construction, the condition of traffic facilities, the business layout and the like, so that a more accurate retail saturation index value of the business circle is obtained.
In this embodiment, in step five, the business types include: catering, cinema, retail, shopping and scientific and technological display, the area occupancy of each store is calculated according to a specific method of business investigation, such as the bag lifting rate investigation of a supermarket, monthly business income of related target businesses is obtained, and then the market turnover of each square meter of the business is calculated; market turnover per square meter of business = monthly business revenue of the relevant target business ÷ area of the relevant target business; according to the general turnover level of each industry in each region, on the premise of ensuring reasonable profit of business and business to be entered (average profit rate), judging whether the target business volume and the new scale can be increased in the region.
Example 2
The difference from the present embodiment 1 is that: step three: putting APP or small programs in a fixed point in the range area selected in the step one, guiding the user to download, synchronously acquiring the position information of the user, and periodically sending questionnaire surveys in the early-stage business strategy planning, the middle-stage business strategy adjustment and the later-stage business continuous development
Step four: counting the position information obtained in the third step, removing junk data, sequentially calculating an area with the most staying points, drawing an area with the radius of 300m by taking the area with the most staying points as the center of a circle, determining the overlapped area of the drawn area and the preliminarily determined central business circle area as a final central business circle area, if the overlapped area does not exist between the drawn area and the preliminarily determined central business circle area, selecting the middle point of the distance between the drawn area and the preliminarily determined central business circle area as the final central business circle area, similarly, determining the position with the least staying points and the preliminarily determined peripheral business circle area to form the final peripheral business circle area, and forming the moderate area with the preliminarily determined transition business circle area as the final transition business circle area;
in this embodiment, in the third step, a certain stop point is detected in a random, multiple, scattered manner for removing the spam data, and buildings, businesses, and people within 20m of the stop point are screened, and if violation information occurs, the spam data is determined.
Example 3
The difference from the above embodiment is that: step three: putting APP or small programs in the range area selected in the step one at a fixed point, guiding the user to download, synchronously acquiring the position information of the user, and periodically sending questionnaires during early-stage business strategy planning, medium-stage business strategy adjustment and later-stage business continuous development
Step four: counting the position information obtained in the third step, removing garbage data, sequentially calculating areas with the most stopping points, drawing an area with the radius of 1000m by taking the area with the most stopping points as the circle center, determining the superposed area of the drawn area and the preliminarily determined central business circle area as a final central business circle area, selecting the middle point of the distance between the drawn area and the preliminarily determined central business circle area as a final central business circle area if the superposed area does not exist between the drawn area and the preliminary determined central business circle area, similarly, determining the position with the least stopping points and the preliminarily determined peripheral business circle area to form a final peripheral business circle area, and forming the moderate stopping point area and the preliminarily determined transition business circle area into a final transition business circle area;
in the third step, in this embodiment, a certain stop point is detected in a random, multiple, scattered manner to remove the spam data, and buildings, businesses, and people within 50m of the stop point are screened, and if violation information occurs, the spam data is determined.
Example 4
The difference from the above embodiment is that: step three: putting APP or small programs in a fixed point in the range area selected in the step one, guiding the user to download, synchronously acquiring the position information of the user, and periodically sending questionnaire surveys in the early-stage business strategy planning, the middle-stage business strategy adjustment and the later-stage business continuous development
Step four: and (3) counting the position information obtained in the third step, removing junk data, sequentially calculating the areas with the most stopping points, drawing the areas with the radius of 600m by taking the area with the most stopping points as the center of a circle, directly determining the drawn areas as the final central business circle area when the distance between the drawn areas and the preliminarily determined central business circle area is 200 m, similarly, determining the position with the least stopping points to form the final peripheral business circle area, and determining the area with the moderate stopping points as the final transition business circle area.
Example 5
The difference from the above embodiment is that: step three: putting APP or small programs in the range area selected in the step one at a fixed point, guiding the user to download, synchronously acquiring the position information of the user, and periodically sending questionnaires during early-stage business strategy planning, medium-stage business strategy adjustment and later-stage business continuous development
Step four: counting the position information obtained in the third step, removing junk data, sequentially calculating the areas with the most staying points, drawing the areas with the radius of 600m by taking the area with the most staying points as the center of a circle, directly determining the drawn areas as the final central business circle area when the distance between the drawn areas and the preliminarily determined central business circle area is 100 m, similarly, determining the position with the least staying points to form the final peripheral business circle area, and determining the area with the moderate staying points as the final transition business circle area.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (10)

1. A city business strategy data processing method is characterized in that: the method specifically comprises the following steps:
the method comprises the following steps: determining a range area needing to be subjected to city business strategy adjustment through a map, and primarily determining a central business circle area, a transition business circle area and a peripheral business circle area in the determined range area;
step two: acquiring the traffic condition, the commodity room living condition, the office area and the utilization rate of the business area of a central business circle area; acquiring the traffic condition, the house living condition and the business area utilization rate of a transitional business circle area; acquiring the housing living condition and the commercial area utilization rate of a peripheral commercial circle area;
step three: putting APP or small programs in the selected range area in the first step at a fixed point, guiding the user to download, synchronously acquiring the position information of the user, and periodically sending questionnaire surveys in the early-stage business strategy planning, the middle-stage business strategy adjustment and the later-stage business continuous development;
step four: counting the position information obtained in the third step, removing junk data, sequentially calculating an area with the most staying points, drawing an area with the radius of 300-1000 m by taking the area with the most staying points as the center of a circle, determining the overlapped area of the drawn area and the preliminarily determined central business circle area as a final central business circle area, if the overlapped area does not exist between the drawn area and the preliminarily determined central business circle area, selecting the middle point of the distance between the drawn area and the preliminarily determined central business circle area as the final central business circle area, similarly, determining the position with the least staying points and the preliminarily determined peripheral business circle area to form a final peripheral business circle area, and forming the moderate area with the preliminarily determined transition business circle area with the final transition business circle area;
step five: the city business type of the area is planned according to the time of staying in different areas.
2. The city business strategy data processing method of claim 1, wherein: in the first step, the central business circle region, the transitional business circle region and the peripheral business circle region in the range region are determined in the following manner:
A. counting the place with the most pedestrian flow and the most living amount as a central business circle area;
B. the central business circle is connected, and the flow rate and the occupancy have obvious descending trend to be a transitional business circle area;
C. the areas with low overall traffic and low occupancy are the peripheral business circle areas, which are connected with the areas with excessive business circles.
3. The city business strategy data processing method of claim 1, wherein: the living conditions of the commercial houses in the step two do not comprise statistical data of apartment people and rented house people, and the living conditions of the houses in the commercial house areas at the periphery of the transitional commercial house area comprise all types of living population statistics.
4. The city business strategy data processing method of claim 1, wherein: in the third step, a certain stop point is detected in a mode of removing the garbage data randomly, repeatedly and dispersedly, buildings, businesses and crowds in the range of 20-50 m of the stop point are screened, and the garbage data is judged if violation information occurs.
5. The city business strategy data processing method of claim 4, wherein: in the manner of removing the garbage data in the third step, the screening direction for the crowd includes: scholarly, income, occupation, age, hobbies and interests and living conditions, and when the number of the satisfied conditions is less than the number of the unsatisfied conditions, the generated data is not adopted.
6. The city business strategy data processing method of claim 1, wherein: the APP or the applet in the third step is composed of a positioning function, a questionnaire survey function and a personal information uploading function.
7. The city business strategy data processing method of claim 6, wherein: in the APP or applet in the third step, the personal information uploading function includes favorite commercial brand, commercial mode, business hours, shopping hours, consumption level.
8. The city business strategy data processing method of claim 1, wherein: in said fourth step, the location of a luxury commercial site of moderate, i.e., high-end, is determined, again by APP or applet randomly, multiple, discrete extractions of the user's consumption level and favorite commercial brand, within the area of the central business circle of ultimate confirmation.
9. The city business strategy data processing method of claim 1, wherein: traffic routes of the central business circle area, the transitional business circle area and the peripheral business circle area in the fourth step are regulated, automobile brands, driving time and stopping points passing through the three areas on different roads are counted, and the commercial network site selection is determined on two sides of the roads.
10. The city business strategy data processing method according to claim 1, wherein: in the fifth step, the business types include: catering, cinema, retail sale, shopping and scientific and technological display.
CN202211679314.XA 2022-12-27 2022-12-27 Urban business strategy data processing method Pending CN115660739A (en)

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CN112070551A (en) * 2020-09-15 2020-12-11 亿景智联(北京)科技有限公司 Retail outlet site selection algorithm based on regional analysis
CN112990976A (en) * 2021-03-29 2021-06-18 华南理工大学 Commercial network site selection method, system, equipment and medium based on open source data mining

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Publication number Priority date Publication date Assignee Title
WO2015026293A1 (en) * 2013-08-23 2015-02-26 Wu Xiaojun Allan The creet model
CN106384250A (en) * 2016-09-13 2017-02-08 百度在线网络技术(北京)有限公司 Site selection method and device
CN106952105A (en) * 2017-04-26 2017-07-14 浙江大学 A kind of retail shop based on transfer learning optimizes site selecting method
CN109727076A (en) * 2019-01-04 2019-05-07 成都方未科技有限公司 A kind of site selecting method based on population space-time distribution
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