Travel behavior resilience:Theory,method,and empirical studies

作     者：HUANG Jie WANG Jiaoe 黄洁;王姣娥

作者机构：Key Laboratory of Regional Sustainable Development ModellingInstitute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China College of Resources and EnvironmentUniversity of Chinese Academy of SciencesBeijing 100049China 

出 版 物：《Journal of Geographical Sciences》 (地理学报（英文版）)

年 卷 期：2024年第34卷第8期

页      面：1657-1674页

核心收录：

学科分类：08[工学] 082303[工学-交通运输规划与管理] 0705[理学-地理学] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：National Natural Science Foundation of China,No.42225106,No.42121001 Youth Innovation Promotion Association of Chinese Academy of Sciences,No.2021049 

主　　题：resilience residential travel social group urban transportation big data 

摘      要：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