突发公共卫生事件对居民出行行为影响  

Residents’Travel Behavior on the Impact of Public Health Emergency

作　　者：彭亦婷 马路[1] PENG Yiting;MA Lu(School of Traffic and Transportation,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]北京交通大学交通运输学院,北京100044

出　　处：《综合运输》2024年第3期36-42,共7页China Transportation Review

基　　金：国家自然科学基金(71971023)。

摘　　要：为分析突发公共卫生事件对城市居民出行行为的影响,以新冠疫情为例,基于RP调查数据构建包括个人属性、家庭属性和出行属性的二项Logit模型和多项Logit模型,对疫情下居民的出行频次减少行为和通勤方式选择行为进行分析。研究结果表明:外出就餐、购物和娱乐出行在疫情期间的减少最为明显。复工的通勤者、有车家庭的出行者及中青年出行者在疫情期间的出行频次更高。有车家庭的通勤者及长距离通勤者更倾向于选择汽车出行,短距离出行时居民选择慢行交通出行的概率有所增加。研究结果可为相关管理部门制定恢复城市交通出行结构的策略提供参考依据。Binomial logit models and multinomial logit models including personal attributes,household attributes and travel attributes were constructed based on RP survey data to analyze the behavior of travel frequency reduction and commuting mode choice of Beijing residents during the pandemic.The study results showed that the most significant reductions in dining out,shopping,and recreation trips were seen during the pandemic,commuters who had returned to work,households owning cars,and young and middle-aged travelers traveled more frequently during the pandemic.Residents in households with cars and long-distance commuters are more likely to choose cars for long-distance trips during the pandemic and the probability of residents choosing slow-moving modes for short-distance trips increased overall.The results of the study can provide a reference for the relevant management authorities to develop strategies to restore the travel structure of urban transportation.

关 键 词：城市交通 出行行为 非集计模型 突发公共卫生事件 影响因素 

分 类 号：U121[交通运输工程]