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Automobile repair store site selection method based on vehicle space-time distribution

A technology of space-time distribution and vehicles, applied in the field of data processing, can solve the problems of lack of objective guidance, waste of time and manpower, etc., to achieve the effect of optimizing site selection, eliminating negative effects, and increasing passenger flow

Active Publication Date: 2020-01-10
爱易优(上海)信息科技有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the present invention is to provide a method for selecting the location of an auto repair shop based on the time-space distribution of vehicles, which solves the problem that currently in the location selection, mainly through manual on-the-spot investigation and investigation, and benefit accounting, this method will cause Waste of time and manpower, and lack of objective guidance

Method used

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  • Automobile repair store site selection method based on vehicle space-time distribution
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  • Automobile repair store site selection method based on vehicle space-time distribution

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Embodiment 1

[0040] A method for selecting the location of an auto repair shop based on the temporal and spatial distribution of vehicles, comprising the following steps:

[0041] S1. Collect traffic flow data of urban road network, distribution data of office and commercial areas, distribution data of residential areas, and distribution data of stores in the same industry, and store them in categories.

[0042] S2. Construct a visualized electronic map, integrate and display the collected data on the electronic map according to multiple latitudes such as time and location, and analyze the vehicle distribution heat map and behavior rules according to the weight of different data, specifically including the following steps:

[0043] S2.1. Analyze the surrounding road network data, perform a comprehensive rating on the road according to the road conditions and hourly traffic flow, and select the area with the highest comprehensive rating of the surrounding roads.

[0044] S2.2. Analyze the d...

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Abstract

The invention discloses an automobile repair store site selection method based on vehicle space-time distribution, and belongs to the technical field of data processing. On the basis of comprehensivefactors of an urban road network, a residential area and an office and commercial area, the condition of the vehicle ownership in the area is analyzed through visual map display, the corresponding weight level is formulated according to the corresponding rating, and the comprehensive score of the area is calculated; negative effects caused by competition in the area are eliminated; and the optimalsite selection scheme of the automobile repair store is comprehensively analyzed, and theoretical support is provided for site selection of the automobile repair store. By optimizing site selection,the passenger flow volume of the store is improved, and more profit points are brought.

Description

technical field [0001] The invention relates to a location selection method for an auto repair shop based on the temporal and spatial distribution of vehicles, and belongs to the technical field of data processing. Background technique [0002] With the rapid development of society, "site selection" is widely used in all walks of life, and most of them appear in the selection of chained national terminals. With the rapid growth of the number of vehicles in the country and the rapid development of the automotive aftermarket industry, automotive aftermarket companies are rapidly building auto repair chain stores, and companies will select locations according to their company's strategic planning. [0003] Site selection is a long-term investment for a store. Address selection plays a vital role in long-term operation. After the address is determined, it cannot be easily changed. Therefore, site selection must comprehensively consider various influencing factors and possible ch...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06F16/29G06F16/909
CPCG06Q10/04G06Q10/047G06F16/909G06F16/29
Inventor 陈洪强张毅何大东孙晓峰葛磊翁高涛
Owner 爱易优(上海)信息科技有限公司
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