Choice behavior of commuters' rail transit mode during the COVID-19 pandemic based on logistic model
Choice behavior of commuters' rail transit mode during the COVID-19 pandemic based on logistic model
复制标题
基于Logistic模型的COVID-19疫情期间通勤者轨道交通方式选择行为
DOI：
10.1016/j.jtte.2020.07.002
复制
发表时间：
2020-09-19
期刊：
影响因子：
--
通讯作者：
Ma C
中科院分区：
文献类型：
--
作者：
Tan L;Ma C
为了解通勤者在新冠疫情期间是否会乘坐轨道交通，基于559份有效问卷，从个人属性、出行属性和对新冠疫情的感知三个方面构建Logistic回归模型。结果表明：职业、新冠疫情前的通勤工具、从住所到最近地铁站的步行时间、乘坐私家车被感染的可能性和乘坐公共交通工具被感染的可能性对通勤者选择轨道交通有显著影响。自雇人士和自由职业者、在COVID-19疫情前使用非公共交通工具的通勤者以及从住所步行到最近地铁站需要更长时间的通勤者在COVID-19疫情期间乘坐轨道交通通勤的可能性较低。认为乘坐公共交通工具感染病毒风险更高的通勤者，选择轨道交通的概率更低。在新冠疫情期间不选择轨道交通通勤的通勤者对公交/地铁/出租车/打车的信心不高。本文的研究可为COVID-19大流行期间城市轨道交通管控措施的制定提供参考，从而制定更完善的措施，保障返乡人员的安全。
To understand whether commuters will take rail transit during the COVID-19 pandemic, a logistic regression model was constructed from three aspects of personal attributes, travel attributes and perception of COVID-19 based on 559 valid questionnaires. The results show that: occupation, commuting tools before the COVID-19 pandemic, walking time from residence to the nearest subway station, the possibility of being infected in private car and the possibility of being infected in public transport have significant influence on the commuters' choice of rail transit. Self-employed people and freelancers, commuters who used non-public transport before the COVID-19 pandemic, and commuters who take longer to walk from their residences to the nearest subway station are less likely to commute by rail transit during the COVID-19 pandemic. Commuters who think that the risk of being infected with the virus in public transport is higher have a lower probability of choosing rail transit. The confidence in bus/subway/taxi/taxi-hailing of commuters who do not choose to commute by rail transit during the COVID-19 pandemic is not high. The study of this paper can provide reference for the formulation of urban rail transit control measures during the COVID-19 pandemic, so as to formulate more perfect measures to ensure the safety of the returning workers.
登录
查看更多内容
影响因子：
5.9
作者：
Al-Ghamdi, AS
通讯作者：
Al-Ghamdi, AS
DOI：
10.1007/s11524-011-9603-4
发表时间：
2011-10-01
影响因子：
6.6
作者：
Cooley, Philip;Brown, Shawn;Wagener, Diane K.
通讯作者：
Wagener, Diane K.
影响因子：
2.6
作者：
Kassu, Aschalew;Hasan, Mahbub
通讯作者：
Hasan, Mahbub
影响因子：
12.9
作者：
Behnood, Ali;Mannering, Fred
通讯作者：
Mannering, Fred
DOI：
10.1016/j.trf.2015.12.016
发表时间：
2016-04-01
影响因子：
4.1
作者：
Roshandeh, Arash M.;Zhou, Bei;Behnood, Ali
通讯作者：
Behnood, Ali