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The evolutionary interaction between taxi-sharing behaviours and social networks

机译：出租车共享行为与社交网络之间的进化互动

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摘要

Mobility services increasingly consider the sharing of vehicles to reduce resource use and congestion. People are, however, reluctant to sharing vehicles with strangers. Therefore, this paper investigates the dynamic co-evolution of taxi-sharing behaviours and the taxi-sharing-oriented social network structure. A social network based taxi-sharing method is introduced that is able to prioritise taxi-sharing with acquaintances over strangers while capping the detour cost to reasonable and varied limits. Furthermore, the social network structure evolves and is updated based on shared trips. An empirical simulation demonstrates the advantages of social network based taxi-sharing, i.e., an increased match rate and a comparable satisfaction level to trip-based methods. The spatial aggregation of the emerging social network not only suggests a space-time searching heuristic for taxi-sharing, but also indicates how social factors conquer space while space constrains social interactions.
机译：出行服务越来越多地考虑共享车辆以减少资源使用和拥堵。但是，人们不愿意与陌生人共享车辆。因此，本文研究了出租车共享行为与面向出租车共享的社交网络结构的动态协同演化。引入了一种基于社交网络的出租车共享方法，该方法能够将相识的出租车共享优先于陌生人，同时将tour回费用限制在合理且变化的范围内。此外，社交网络结构会根据共享旅程而发展和更新。经验模拟证明了基于社交网络的出租车共享的优势，即，增加的匹配率和与基于出行方式的方法相当的满意度。新兴社交网络的空间聚集，不仅暗示了出租车共享的时空搜索启发式方法，而且还表明了社会因素如何征服空间，而空间则限制了社交互动。

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