估计
目的地
概率逻辑
计算机科学
2019年冠状病毒病(COVID-19)
传输(电信)
人口
模式(计算机接口)
旅游行为
旅游调查
运输工程
地理
计量经济学
工程类
旅游
数学
电信
传染病(医学专业)
人工智能
社会学
人口学
考古
系统工程
病理
操作系统
疾病
医学
作者
Rui Zhu,Luc Anselin,M. J. Batty,Mei‐Po Kwan,Min Chen,Wei Luo,Tao Cheng,Che Kang Lim,Paolo Santi,Cheng Cheng,Qiushi Gu,Man Sing Wong,Kai Zhang,Guonian Lü,Carlo Ratti
标识
DOI:10.1016/j.scib.2021.11.023
摘要
The built environment is a crucial factor influencing subway commuting. However, the extent to which the built environment affects metro travel during the COVID-19 pandemic remains under explored. In particular, people's travel patterns and destinations might have changed during the pandemic, influenced by the built environment. The degree to which these influences differ from those in normal circumstances has scarcely been studied. This study investigates the non-linear effects of the built environment on metro commuters within an 800-m radius of subway stations. Analysis of mobile signal data from Guangzhou Metro Line 1 showed that the importance of the built environment was 81.69% and 70.06% before and after the outbreak, respectively. Based on the threshold effects of the built environment on subway passenger flows before and after the pandemic, this study determined the immediate needs of commuters for the built environment after the outbreak. This information can guide planning strategies around subway stations facing public health emergencies. This study highlights the non-linear impact of the built environment on subway passenger flows after an outbreak. Thus, the number of parking lots, the proportion of medical facilities and the distance to the central business district are urgent demands for subway passengers after the outbreak.
科研通智能强力驱动
Strongly Powered by AbleSci AI