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Author:

Zhang Nan (Zhang Nan.) (Scholars:张楠) | Jia Wei (Jia Wei.) (Scholars:魏佳) | Wang Peihua (Wang Peihua.) | Dung Chung-Hin (Dung Chung-Hin.) | Zhao Pengcheng (Zhao Pengcheng.) | Leung Kathy (Leung Kathy.) | Su Boni (Su Boni.) | Cheng Reynold (Cheng Reynold.) | Li Yuguo (Li Yuguo.)

Indexed by:

SSCI Scopus PubMed

Abstract:

COVID-19 threatens the world. Social distancing is a significant factor in determining the spread of this disease, and social distancing is strongly affected by the local travel behaviour of people in large cities. In this study, we analysed the changes in the local travel behaviour of various population groups in Hong Kong, between 1 January and 31 March 2020, by using second-by-second smartcard data obtained from the Mass Transit Railway Corporation (MTRC) system. Due to the pandemic, local travel volume decreased by 43%, 49% and 59% during weekdays, Saturdays and Sundays, respectively. The local travel volumes of adults, children, students and senior citizens decreased by 42%, 86%, 73% and 48%, respectively. The local travel behaviour changes for adults and seniors between non-pandemic and pandemic times were greater than those between weekdays and weekends. The opposite was true for children and students. During the pandemic, the daily commute flow decreased by 42%. Local trips to shopping areas, amusement areas and borders decreased by 42%, 81% and 99%, respectively. The effective reproduction number (R
t
 ) of COVID-19 had the strongest association with daily population use of the MTR 7-8 days earlier.

Keyword:

Public transport Effective reproduction number Human behaviour COVID-19 Subway Local travel behaviour

Author Community:

  • [ 1 ] [Zhang Nan]Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Jia Wei]Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
  • [ 3 ] [Wang Peihua]Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
  • [ 4 ] [Dung Chung-Hin]Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
  • [ 5 ] [Zhao Pengcheng]Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
  • [ 6 ] [Leung Kathy]School of Public Health, Li Ka Shing Faculty of Medicine, University of Hong Kong, Hong Kong, China
  • [ 7 ] [Su Boni]China Electric Power Planning & Engineering Institute, Beijing, China
  • [ 8 ] [Cheng Reynold]Department of Computer Science, The University of Hong Kong, Hong Kong, China
  • [ 9 ] [Li Yuguo]Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China

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Source :

Cities

ISSN: 0264-2751

Year: 2021

Volume: 112

Page: 103139

ESI Discipline: SOCIAL SCIENCES, GENERAL;

ESI HC Threshold:53

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 149

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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