Collaborative activity-based ridesharing

被引:10
|
作者
Wang, Yaoli [1 ]
Winter, Stephan [1 ]
Tomko, Martin [1 ]
机构
[1] Univ Melbourne, Infrastruct Engn, D402 Engn Bldg Block D, Parkville, Vic 3010, Australia
基金
澳大利亚研究理事会;
关键词
Ridesharing algorithm; Collaborative travel; Social networks; Time geography; Spatio-temporal index; MOBILE PHONE DATA; SOCIAL NETWORKS; TIME-GEOGRAPHY; URBAN SPACE; PREFERENCES; SIMULATION; LOCATION; FRIENDS; SHARE;
D O I
10.1016/j.jtrangeo.2018.08.013
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:131 / 138
页数:8
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