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Who Will Survive and Revive Undergoing the Epidemic: Analyses about POI Visit Behavior in Wuhan via Check-in Records

Published: 24 June 2021 Publication History

Editorial Notes

The authors have requested minor, non-substantive changes to the VoR and, in accordance with ACM policies, a Corrected VoR was published on September 29, 2021. For reference purposes the VoR may still be accessed via the Supplemental Material section on this page.

Abstract

A rapid-spreading epidemic of COVID-19 hit China at the end of 2019, resulting in unignorable social and economic damage in the epicenter, Wuhan. POIs capture the microscopic behavior of citizens, providing valuable information to understand city reactions toward the epidemic. Leveraging large-scale check-in records, we analyze the POI visit trends over the epidemic period and normal times. We demonstrate that COVID-19 greatly influences the society, where most POIs demonstrate more than 60% of visit drops during the city lockdown period. Among them, Tourist Attractions received greatest impact with a 78.8% drop. Entertainment, Food, Medical and Shopping are sensible to the disease before lockdown, and we identify these "early birds" to investigate the public reaction in the early stage of the epidemic. We further analyze the revival trends, generating four different revival patterns that correlated with the necessity of POI functions. Finally, we analyze the perseverance during the COVID-19, finding no large-scale closures compared with the tremendous visit drop. The strong resilience in Wuhan supports the rapid recovery of society. These findings are important for researchers, industries, and governments to understand the city respondence under severe epidemic, proposing better regulations to respond, control, and prevent public emergencies.

Supplementary Material

3463525-vor (3463525-vor.pdf)
Version of Record for "Who Will Survive and Revive Undergoing the Epidemic: Analyses about POI Visit Behavior in Wuhan via Check-in Records" by Han et al., Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 5, Issue 2 (IMWUT 5:2).

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        cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
        Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 5, Issue 2
        June 2021
        932 pages
        EISSN:2474-9567
        DOI:10.1145/3472726
        Issue’s Table of Contents
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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        Publication History

        Published: 24 June 2021
        Published in IMWUT Volume 5, Issue 2

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        Author Tags

        1. COVID-19
        2. POI
        3. check-in
        4. data driven
        5. time series analyze

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        • (2024)Spatial–Temporal Urban Mobility Pattern Analysis During COVID-19 PandemicIEEE Transactions on Computational Social Systems10.1109/TCSS.2022.320159011:1(38-50)Online publication date: Feb-2024
        • (2024)Estimating and modeling spontaneous mobility changes during the COVID-19 pandemic without stay-at-home ordersHumanities and Social Sciences Communications10.1057/s41599-024-03068-411:1Online publication date: 8-May-2024
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