Regularity and Adaptation Process on Travel Behaviour: Longitudinal Analysis Using Smartcard data

本研究旨在利用智能卡数据，了解个人出行的规律性/不规则性及其适应过程。利用智能卡数据对出行行为的规律性进行了调查，找出了可能影响出行行为规律性的因素。对交通碰撞后的适应行为也进行了建模。讨论了公共交通使用的质量效应和时间变化。因此，该模型表明，质量效应可能并不总是有助于促进公共交通的使用。还阐述了使用智能卡数据进行出行行为分析的好处。

This study aims at understanding individual travel regularity/irregularity and adaptation process by large impact by using smartcard data. The regularity on travel behavior was investigated by using smartcard data, and we identified the factors which may influence regularity of travel behavior. Adaptation behavior after transport impact is also modeled. We consider the mass effect and temporal change of public transport use is discussed. As a result, the model suggests that the mass effect may not always contribute to promote public transport use. The benefit of using smartcard data for travel behavioral analysis is also expressed.