Car leasing place address selection method based on user behavior analysis
A behavior analysis and car leasing technology, which is used in sales/leasing transactions, data processing applications, and commerce.
Active Publication Date: 2017-11-03
ANHUI ZHIBO NEW MATERIAL TECH CO LTD
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[0002] The success of site selection for vehicle leasing points is one of the key factors for subsequent successful operations. A successful site selection system is one of the core competitiveness of vehicle leasing companies. has been low
Especially in the car rental industry, there is not much mature experience to learn from. At present, most enterprises have the following problems in site selection: 1. Site selection is based on feeling, without scientific basis, and the risk is very high; 2. A mature site selection plan is difficult Obtained, lack of investment income forecast, leading to decision-making failure; 3. Lack of system and norms, site selection has become the biggest problem in expansion
[0003] The traditional site selection system is only based on the aggregated analysis of surrounding traffic, infrastructure and other data to determine the site location. For the car rental industry, in addition to analyzing the basic data, it is also required that the rental point can provide car rental users with pick-up and return services. The convenience of the car, on the one hand, it must be easy to pick up the car, and on the other hand, it must be easy to return the car, so the common site selection system cannot meet the site selection needs of the car rental industry
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[0030] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0031] A location selection method for car rental points based on user behavior analysis, such as figure 1 shown, including steps:
[0032] 1) Preliminary site selection based on urban area division data and regional population data;
[0033] The urban area division data includes urban area division geographic location, area area, main urban area and non-main urban area data, and population area population information includes population density, population size, population age distribution and per capita income level in each area. The specific methods for the preliminary site selection are as follows:
[0034] 1.1) According to the area of the city's main urban area, the population of the main urban area, the number of operating vehicles in the city operating-vehicle-number, the operating load factor r of the rental point a...
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The invention provides a car leasing place address selection method based on user behavior analysis. The method comprises steps of 1), carrying out initial address selection according to urban region division data and region population data; 2), establishing an online car ordering system and collecting user data according to the system; 3), according to the user data collected by the online car ordering system, carrying out user behavior analysis and determining an optimized address selection strategy; 4), through history operation data and the user behavior analysis, carrying out tracking of operation effects; and 5), repeating the step 3) and the step 4), continuously correcting the existing address selection strategy. According to the invention, address selection of leasing points are allowed to quite meet actual market demands; and meanwhile, it is quite convenient for users to go out in daily life.
Description
technical field [0001] The invention relates to the technical field of location selection of car rental points, in particular to a method for location selection of car rental points based on user behavior analysis. Background technique [0002] The success of site selection for vehicle leasing points is one of the key factors for subsequent successful operations. A successful site selection system is one of the core competitiveness of vehicle leasing companies. has been low. Especially in the car rental industry, there is not much mature experience to learn from. At present, most enterprises have the following problems in site selection: 1. Site selection is based on feeling, without scientific basis, and the risk is very high; 2. A mature site selection plan is difficult Obtained, lack of investment return forecast, leading to failure of decision-making; 3. Lack of system and norms, site selection has become the biggest problem in expansion. [0003] The traditional site ...
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Login to View More IPC IPC(8): G06Q10/04G06Q30/06
CPCG06Q10/043G06Q30/0645
Inventor 严道远袁礼程李林戚庆海
Owner ANHUI ZHIBO NEW MATERIAL TECH CO LTD