Payment intention-based flexible bus stop grading and transforming method
A technology of willingness to pay and grades, applied in the field of artificial intelligence, can solve problems that affect passengers' ride experience, cannot fully express passengers' willingness to pay, and is difficult to fill in service gaps, etc., to achieve strong promotional value and strong adaptability
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[0032] This embodiment provides a flexible bus stop classification and conversion method based on willingness to pay. The flowchart of the method is as follows: figure 1 As shown, including the following steps:
[0033] 1) Select the range of flexible bus service modes to be provided, obtain passenger demand information, and collect basic data on passenger demand points; the passenger demand information mainly includes travel starting point, travel destination, willingness to pay, travel time, choice preferences, etc. The basic information of the passenger demand point includes various land use conditions near the demand point, public transportation (metro, conventional bus, etc.) station settings and line distribution, surrounding road network levels, service levels and related information. The selection of the scope and the acquisition of data are as follows:
[0034] In a certain service area, the location of the flexible bus demand point is such as figure 2 ...
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