Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9953234 | Journal of Transport Geography | 2018 | 8 Pages |
Abstract
A new ridesharing model called collaborative activity-based ridesharing is proposed to enhance not only overall matching rates but also the matches between preferred ride partners. By coalescing the merits of two recently suggested innovative ridesharing models - the social network-based ridesharing and the activity-based ridesharing - the new model leverages people's preference to their social networks and the space-time flexibility of daily activities to improve the matching outcome. The capabilities and advantages of the proposed model are justified by a group of agent-based simulations in a realistic study area. The influence of geography on the match outcome is discussed in particular.
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Authors
Yaoli Wang, Stephan Winter, Martin Tomko,