Car rental store site selection method and system based on location data, and readable storage medium

A store and data technology, applied in the field of big data processing, can solve problems such as algorithms cannot be covered, and achieve the effect of reducing operating costs, reducing workload, and accelerating layout speed

Pending Publication Date: 2022-04-26
上海一嗨信息技术服务有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] The existing retail store location selection algorithm is generally based on map big data, mainly through the analysis of population aggregation attributes, consumption attributes, commercial attributes, landmark attributes, etc., to divide hot spots, potential areas, blank areas, etc., and based on this According to their own business needs, determine the selected address. Existing technical algorithms focus on consumption attributes, with the exception of car rental stores. On the one hand, parking resources in cities are relatively tight, and car rental companies have a large number of vehicles to park, so car rental stores The site selection also needs to consider the convenience between the existing parking lot and the convenience of necessary services such as refueling, maintenance, repair and car washing around the store
On the other hand, high-frequency car rental business scenarios occur in areas such as airports and high-speed rail stations. How to find stores suitable for car rental scenarios in these known areas cannot be covered by the current algorithm.

Method used

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  • Car rental store site selection method and system based on location data, and readable storage medium

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Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. Note that the aspects described below in conjunction with the drawings and specific embodiments are only exemplary, and should not be construed as limiting the protection scope of the present invention.

[0030] Such as figure 1 As shown, a method for location selection of a car rental store based on location data includes the following steps:

[0031] S100, collecting relevant supporting data on location selection of car rental stores.

[0032] In this step, the relevant supporting data include: one or more of the parking lot around the store, gas station, car wash shop, quick repair shop or road condition information, specifically, collect the parking lot, Car rental scenarios such as gas stations, car washes, and quick repair shops, as well as the location, size, cost, import and export, busyness, road conditions and other data of service ...

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Abstract

The invention discloses a car rental store site selection method and system based on position data and a readable storage medium. The method comprises the steps of collecting related supporting data of car rental store site selection; projecting the collected related matched data to a map of the preliminary planning area, and performing priority setting on the related matched data; and comprehensively calculating the score of the current store address according to the related matching data of different priorities, and determining the site selection of the target store according to the score.

Description

technical field [0001] The invention relates to the field of big data processing, in particular to a location data-based method, system and readable storage medium for car rental stores. Background technique [0002] The existing retail store location selection algorithm is generally based on map big data, mainly through the analysis of population aggregation attributes, consumption attributes, commercial attributes, landmark attributes, etc., to divide hot spots, potential areas, blank areas, etc., and based on this According to their own business needs, determine the selected address. Existing technical algorithms focus on consumption attributes, with the exception of car rental stores. On the one hand, parking resources in cities are relatively tight, and car rental companies have a large number of vehicles to park, so car rental stores The site selection also needs to consider the convenience between the existing parking lot and the convenience of necessary services such...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q30/02G06Q10/06G06F16/29
CPCG06Q30/0645G06Q30/0282G06Q10/06393G06F16/29
Inventor 李祖南
Owner 上海一嗨信息技术服务有限公司
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