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travel behavior resilience:Theory,method,and empirical studies

Journal of Geographical Sciences 2024年第8期34卷 1657-1674页

作者： HUANG Jie WANG Jiaoe Key Laboratory of Regional Sustainable Development Modelling Institute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

Resilience studies have long been a focal point in the fields of geography,social science,urban studies,and ***,resilience studies from multiple disciplines have scrutinized resilience at an individual *** one important behavior in the daily life of human beings,travel behavior is characterized by spatial dependence,spatiotemporal dynamics,and group ***,how to understand the interaction between travel behavior(or demand)and transportation supply and their dynamics is a fundamental question in transportation studies when transportation systems encounter unexpected *** paper refines the definition of travel behavior resilience based on fundamental theories from multiple disciplines,including ecology,transportation engineering,and ***,this paper proposes a conceptual theoretical framework of travel behavior resilience based on the dynamic equilibrium characteristics of transportation supply and *** general,travel behavior has three stages of variation,namely,dramatic reduction,rapid growth,and fluctuation recovery,which have helped capture the travel behavior resilience ***,we construct a corresponding evaluation methodology that is suitable for multiscale and multidimensional *** emphasize that the evaluation of travel behavior resilience should be process-oriented with temporal continuity or capture the inflection points of travel *** multisource big data such as mobile phone signaling data and smart card data,this paper reviews empirical studies on travel behavior resilience,exploring its spatial heterogeneity and group *** location-based analysis,we confirm that people show greater travel behavior resilience in places where people engage in various socioeconomic *** group-based analysis shows that age and socioeconomic attributes of mobility groups significantly affect travel behavior *** behavior resilience can be o

关键词： resilience residential travel social group urban transportation big data

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