"What should be computed" for supporting post-pandemic recovery policymaking? A life-oriented perspective.

Autor:	Zhang J; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan., Feng T; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan.; Department of the Built Environment, Eindhoven University of Technology, Eindhoven, The Netherlands., Kang J; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan., Li S; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan., Liu R; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan., Ma S; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan., Zhai B; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan.; College of Architecture and Urban Planning, Tongji University, Shanghai, China., Zhang R; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan., Ding H; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan., Zhu T; Mobilities and Urban Policy Lab, Graduate School of Advanced Science and Engineering, Hiroshima University, Higashihiroshima, Japan.; School of Economics and Management, Shijiazhuang Tiedao University, Shijiazhuang, China.
Jazyk:	angličtina
Zdroj:	Computational urban science [Comput Urban Sci] 2021; Vol. 1 (1), pp. 24. Date of Electronic Publication: 2021 Nov 19.
DOI:	10.1007/s43762-021-00025-8
Abstrakt:	The COVID-19 pandemic has caused various impacts on people's lives, while changes in people's lives have shown mixed effects on mitigating the spread of the SARS-CoV-2 virus. Understanding how to capture such two-way interactions is crucial, not only to control the pandemic but also to support post-pandemic urban recovery policies. As suggested by the life-oriented approach, the above interactions exist with respect to a variety of life domains, which form a complex behavior system. Through a review of the literature, this paper first points out inconsistent evidence about behavioral factors affecting the spread of COVID-19, and then argues that existing studies on the impacts of COVID-19 on people's lives have ignored behavioral co-changes in multiple life domains. Furthermore, selected uncertain trends of people's lives for the post-pandemic recovery are described. Finally, this paper concludes with a summary about "what should be computed?" in Computational Urban Science with respect to how to catch up with delays in the SDGs caused by the COVID-19 pandemic, how to address digital divides and dilemmas of e-society, how to capture behavioral co-changes during the post-pandemic recovery process, and how to better manage post-pandemic recovery policymaking processes. Competing Interests: Competing interestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article. (© The Author(s) 2021.)
Databáze:	MEDLINE
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