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香港新冠疫情期间及之前本地出行行为的变化。

Changes in local travel behaviour before and during the COVID-19 pandemic in Hong Kong.

作者信息

Zhang Nan, Jia Wei, Wang Peihua, Dung Chung-Hin, Zhao Pengcheng, Leung Kathy, Su Boni, Cheng Reynold, Li Yuguo

机构信息

Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing, China.

Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China.

出版信息

Cities. 2021 May;112:103139. doi: 10.1016/j.cities.2021.103139. Epub 2021 Feb 11.

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 ( ) of COVID-19 had the strongest association with daily population use of the MTR 7-8 days earlier.

摘要

新冠疫情威胁着全球。社交距离是决定这种疾病传播的一个重要因素,而社交距离又受到大城市居民本地出行行为的强烈影响。在本研究中,我们利用从香港地铁有限公司(MTRC)系统获取的逐秒智能卡数据,分析了2020年1月1日至3月31日期间香港不同人群本地出行行为的变化。由于疫情,工作日、周六和周日的本地出行量分别下降了43%、49%和59%。成年人、儿童、学生和老年人的本地出行量分别下降了42%、86%、73%和48%。非疫情时期与疫情时期相比,成年人和老年人的本地出行行为变化大于工作日与周末之间的变化。儿童和学生的情况则相反。疫情期间,每日通勤流量下降了42%。前往购物区、娱乐区和边境的本地出行分别下降了42%、81%和99%。新冠病毒的有效再生数( )与7至8天前地铁的每日客流量关联最为紧密。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d92/7877214/27f0e3bdabe5/gr1_lrg.jpg

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