The Economic Recovery from Traffic Restriction Policies during the COVID-19 through the Perspective of Regional Differences and Sustainable Development: Based on Human Mobility Data in China

doi:10.3390/su14116453

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	The Economic Recovery from Traffic Restriction Policies during the COVID-19 through the Perspective of Regional Differences and Sustainable Development: Based on Human Mobility Data in China
	Li, Yawen 1; Yang, Yushan 1; Luo, Guorong 2; Huang, Jizhou 3; Wu, Tian4
	2022-06-01
发表期刊	SUSTAINABILITY
卷号	14 期号:11 页码:23
摘要	In the post-epidemic era, balancing epidemic prevention and control with sustainable economic development has become a serious challenge for all countries around the world. In China, a range of interventions include detection policies, clinical treatment policies, and most notably, traffic policies have been carried out for epidemic prevention and control. It has been widely confirmed that massive traffic restriction policies effectively brought the spread of the pandemic under control. However, restrictions on the use of transportation infrastructure undermine the smooth functioning of the economy. Particularly, China has a vast territory, with provinces differing in economic development, leading industries and transportation infrastructure; economic shock varies from region to region. In this case, targeted policies are the key to sustainable development. This paper sets forth advice for the Chinese government on its measures to boost the economy by analyzing regional differences in the impact of massive traffic restriction policies, based on large-scale human mobility data. After applying the Data Envelopment Analysis model, we classify Chinese provinces into different regions from the perspective of economic gradient, degree of internationalization and level of traffic convenience, respectively. Classification results are matched with the indicators of New Venues Created and the weekly Volumes of Visits to Venues from Baidu Maps. We find that the regional differences in the recovery of investment and consumption levels are striking. Based on the findings, we suggest that the government should adjust the intensity of traffic restrictions and economic stimulus policies dynamically according to regional differences to achieve sustainable economic development.
关键词	traffic restriction sustainable economic development human mobility data
DOI	10.3390/su14116453
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[71804181] ; National Natural Science Foundation of China[61902037] ; Fundamental Research Funds for the Central Universities[500419804] ; National Center for Mathematics and Interdisciplinary Sciences, CAS
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS记录号	WOS:000808967700001
出版者	MDPI
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/61545
专题	国家数学与交叉科学中心
通讯作者	Yang, Yushan
作者单位	1.Beijing Univ Posts & Telecommun, Sch Econ & Management, Beijing 100876, Peoples R China 2.Tsinghua Univ, Dept Ind Engn, Beijing 100084, Peoples R China 3.Baidu Inc, Baidu AI Tech Comm, Beijing 100085, Peoples R China 4.Chinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Li, Yawen,Yang, Yushan,Luo, Guorong,et al. The Economic Recovery from Traffic Restriction Policies during the COVID-19 through the Perspective of Regional Differences and Sustainable Development: Based on Human Mobility Data in China[J]. SUSTAINABILITY,2022,14(11):23.
APA	Li, Yawen,Yang, Yushan,Luo, Guorong,Huang, Jizhou,&Wu, Tian.(2022).The Economic Recovery from Traffic Restriction Policies during the COVID-19 through the Perspective of Regional Differences and Sustainable Development: Based on Human Mobility Data in China.SUSTAINABILITY,14(11),23.
MLA	Li, Yawen,et al."The Economic Recovery from Traffic Restriction Policies during the COVID-19 through the Perspective of Regional Differences and Sustainable Development: Based on Human Mobility Data in China".SUSTAINABILITY 14.11(2022):23.