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

Abstract 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 supp...

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Autores principales:	Junyi Zhang, Tao Feng, Jing Kang, Shuangjin Li, Rui Liu, Shuang Ma, Baoxin Zhai, Runsen Zhang, Hongxiang Ding, Taoxing Zhu
Formato:	article
Lenguaje:	EN
Publicado:	Springer 2021
Materias:	COVID-19 pandemic Daily life Life-oriented approach Big data Questionnaire data Post-pandemic recovery Cities. Urban geography GF125
Acceso en línea:	https://doaj.org/article/28e1c02dae7243369381abc068e5008a
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id	oai:doaj.org-article:28e1c02dae7243369381abc068e5008a
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spelling	oai:doaj.org-article:28e1c02dae7243369381abc068e5008a2021-11-21T12:14:49Z“What should be computed” for supporting post-pandemic recovery policymaking? A life-oriented perspective10.1007/s43762-021-00025-82730-6852https://doaj.org/article/28e1c02dae7243369381abc068e5008a2021-11-01T00:00:00Zhttps://doi.org/10.1007/s43762-021-00025-8https://doaj.org/toc/2730-6852Abstract 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.Junyi ZhangTao FengJing KangShuangjin LiRui LiuShuang MaBaoxin ZhaiRunsen ZhangHongxiang DingTaoxing ZhuSpringerarticleCOVID-19 pandemicDaily lifeLife-oriented approachBig dataQuestionnaire dataPost-pandemic recoveryCities. Urban geographyGF125ENComputational Urban Science, Vol 1, Iss 1, Pp 1-16 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	COVID-19 pandemic Daily life Life-oriented approach Big data Questionnaire data Post-pandemic recovery Cities. Urban geography GF125
spellingShingle	COVID-19 pandemic Daily life Life-oriented approach Big data Questionnaire data Post-pandemic recovery Cities. Urban geography GF125 Junyi Zhang Tao Feng Jing Kang Shuangjin Li Rui Liu Shuang Ma Baoxin Zhai Runsen Zhang Hongxiang Ding Taoxing Zhu “What should be computed” for supporting post-pandemic recovery policymaking? A life-oriented perspective
description	Abstract 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.
format	article
author	Junyi Zhang Tao Feng Jing Kang Shuangjin Li Rui Liu Shuang Ma Baoxin Zhai Runsen Zhang Hongxiang Ding Taoxing Zhu
author_facet	Junyi Zhang Tao Feng Jing Kang Shuangjin Li Rui Liu Shuang Ma Baoxin Zhai Runsen Zhang Hongxiang Ding Taoxing Zhu
author_sort	Junyi Zhang
title	“What should be computed” for supporting post-pandemic recovery policymaking? A life-oriented perspective
title_short	“What should be computed” for supporting post-pandemic recovery policymaking? A life-oriented perspective
title_full	“What should be computed” for supporting post-pandemic recovery policymaking? A life-oriented perspective
title_fullStr	“What should be computed” for supporting post-pandemic recovery policymaking? A life-oriented perspective
title_full_unstemmed	“What should be computed” for supporting post-pandemic recovery policymaking? A life-oriented perspective
title_sort	“what should be computed” for supporting post-pandemic recovery policymaking? a life-oriented perspective
publisher	Springer
publishDate	2021
url	https://doaj.org/article/28e1c02dae7243369381abc068e5008a
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“What should be computed” for supporting post-pandemic recovery policymaking? A life-oriented perspective

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