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.

Highlights

  • After the WHO declared the COVID-19 pandemic on March 11, 2020, the pandemic has caused more than 198,000,000 cumulative cases and more than 4,200,000 deaths across the whole world (Worldometers, 2021)

  • 2.5 Summary It is difficult to deny that the above-revealed various inconsistencies have worsened the trust of policymakers in scientific evidence, as often observed in key politicians’ public speeches, which led to inconsistent COVID-19 policymaking across countries of the whole world

  • Even though better risk communications between scientists and politicians can enhance the trust of politicians in scientific evidence, in reality, the COVID-19 pandemic has been addressed “primarily in terms of political regulation and concerns and only marginally as a scientific matter” (Crabu et al, 2021)

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Summary

Introduction

After the WHO declared the COVID-19 pandemic on March 11, 2020, the pandemic has caused more than 198,000,000 cumulative cases and more than 4,200,000 deaths across the whole world (Worldometers, 2021). People’s lifestyles during the COVID-19 pandemic have been largely affected by government policy measures and individuals’ risk perceptions, which affected how people adjusted their daily life needs and subsequent activity-travel schedules and behaviors (Zhang, 2021a; Ding and Zhang, 2021).

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