Empirical analysis on long-distance peer-to-peer ridesharing service in Japan

In accordance with the spread of ridesharing services, users’ data, how, when, where and for what purpose they use the service, are gradually collected in the world. However, there are few studies that deal with empirical situations in Japan. In addition, ridesharing services in Japan are not yet popular compared with that in Western countries thus far. Therefore, in this study, the authors aim to show the present situation of ridesharing behavior in Japan. The authors conduct the empirical analysis by using actual long-distance peer-to-peer ridesharing data in Japan. Firstly, the authors classify ridesharing drives into three classes by OD pairs. Next, they formulate the binomial probit model that explains matching success for each drive class. Estimated model shows that departure time and day, days to departure from registration date, page views and driver’s past experiences are important factors for successful match make.


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  • Accession Number: 01743220
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Apr 29 2020 3:19PM