RESEARCH ON DEMAND IDENTIFICATION FOR CUSTOMIZED BUS BASED ON MULTI-SOURCE MOBILITY DATA

Research on demand identification for customized bus based on multi-source mobility data

Research on demand identification for customized bus based on multi-source mobility data

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As a new type of public transit services,the demand identification of customized Pod Vapes bus (CB) has great practical significance,as well as the basis of route design of CB.Under the context of big data,a methodology framework of CB demand identification based on multi-source data was proposed by mining spatial-temporal characteristics from large scale mobility data.The proposed framework includes several phases,which are the identification of click here commuters from transit and Internet users,data fusion of travel demands and stop deployment method.

This study takes Chengdu city as an example to verify the effectiveness of the proposed methods.The results can provide a theoretical support of CB route design.

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