Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis

Zhang，Haoran1,2; Li，Peiran1; Zhang，Zhiwen1; Li，Wenjing1; Chen，Jinyu1; Song，Xuan1,3; Shibasaki，Ryosuke1; Yan，Jinyue2

2021

10.1016/j.cities.2021.103502

CITIES   影响因子和分区

0264-2751

1873-6084

Lockdown measures have been a “panacea” for pandemic control but also a violent “poison” for economies. Lockdown policies strongly restrict human mobility but mobility reduce does harm to economics. Governments meet a thorny problem in balancing the pros and cons of lockdown policies, but lack comprehensive and quantified guides. Based on millions of financial transaction records, and billions of mobility data, we tracked spatio-temporal business networks and human daily mobility, then proposed a high-resolution two-sided framework to assess the epidemiological performance and economic damage of different lockdown policies. We found that the pandemic duration under the strictest lockdown is less about two months than that under the lightest lockdown, which makes the strictest lockdown characterize both epidemiologically and economically efficient. Moreover, based on the two-sided model, we explored the spatial lockdown strategy. We argue that cutting off intercity commuting is significant in both epidemiological and economical aspects, and finally helped governments figure out the Pareto optimal solution set of lockdown strategy.

COVID-19 Economic damage Epidemiological performance Metropolitan lockdown

SSCI

英语

ESI高被引

通讯

[19K15260]

Urban Studies

Urban Studies

WOS:000792678800002

ELSEVIER SCI LTD

SOCIAL SCIENCES, GENERAL

2-s2.0-85118714443

Scopus

1.Center for Spatial Information Science,The University of Tokyo 5-1-5 Kashiwanoha,Kashiwa-shi,277-8568,Japan
2.School of Business,Society & Engineering,Mälardalen University,Västerås,SE-72123,Sweden
3.Southern University of Science and Technology-University of Tokyo Joint Research Center for Super Smart Cities,Department of Computer and Engineering,Southern University of Science and Technology,Shenzhen,518055,China

Zhang，Haoran,Li，Peiran,Zhang，Zhiwen,et al. Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis[J]. CITIES,2021,120.

Zhang，Haoran.,Li，Peiran.,Zhang，Zhiwen.,Li，Wenjing.,Chen，Jinyu.,...&Yan，Jinyue.(2021).Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis.CITIES,120.

Zhang，Haoran,et al."Epidemic versus economic performances of the COVID-19 lockdown: A big data driven analysis".CITIES 120(2021).