Analysis of changes in population's cross-city travel patterns in the pre- and post-pandemic era: A case study of China

被引：13
|
作者：
Wang, Xuyang [1 ]
Pei, Tao [1 ,5 ,6 ]
Li, Kaixi [2 ]
Cen, Yan [2 ]
Shi, Miao [2 ]
Zhuo, Xian [3 ]
Mao, Tianyu [4 ]
机构：
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
[2] Smart Steps Digital Technol Co Ltd, Beijing 100035, Peoples R China
[3] Dev Res Ctr State Council, Beijing 100010, Peoples R China
[4] Columbia Univ, 116th & Broadway, New York, NY 10027 USA
[5] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
[6] Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing 210023, Peoples R China
来源：
CITIES | 2022年 / 122卷
基金：
中国国家自然科学基金;
关键词：
COVID-19; Crowd travel; Travel recovery degree; Big data; Mobile signalling data;
D O I：
10.1016/j.cities.2021.103472
中图分类号：
TU98 [区域规划、城乡规划];
学科分类号：
0814 ; 082803 ; 0833 ;
摘要：
The coronavirus disease (COVID-19) outbreak has immensely changed people's travel behaviour. The changes in travel behaviour have had a huge impact on different industries, such as consumption, entertainment, commerce, office, and education. This study investigates the impact of COVID-19 on population travel patterns from three aspects: total trips, travel recovery degree, and travel distance. The result indicates that COVID-19 has reduced the total number of cross-city trips and flexible non-work travel; in the post-pandemic era, cross-city travel is mainly short-distance (distance <100 km). This study has significant policymaking implications for governments in countries where the population shares a similar change in travel behaviour.
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页数：5
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