Impact of the COVID-19 pandemic: Insights from vacation rentals in twelve mega cities.

Airbnb COVID-19 pandemic Megacities Risk perception Tourism Vacation rentals

Journal

Sustainable cities and society
ISSN: 2210-6715
Titre abrégé: Sustain Cities Soc
Pays: Netherlands
ID NLM: 101735304

Informations de publication

Date de publication:
Nov 2021
Historique:
received: 07 03 2021
revised: 03 06 2021
accepted: 22 06 2021
entrez: 20 9 2021
pubmed: 21 9 2021
medline: 21 9 2021
Statut: ppublish

Résumé

Coronavirus disease 2019 (COVID-19) is a challenging global problem. COVID-19 has caused shocks to various urban systems, and the tourism industry is no exception. We analyzed the impact on vacation rentals by conducting diachronic data mining on nearly 10 GB of rental data (calendar, listings, and reviews) in twelve highly internationalized megacities distributed across Asia, Europe, America, and Oceania based on the data set from the Inside Airbnb website. All twelve cities were adversely affected. The specific time of the impact is related to the pandemic's outbreak and enforced lockdowns policies. Affected by the epidemic, reservation rates decreased, tourists preferred renting in suburbs instead of city centers, the proportion of foreign tourists in all destinations dropped sharply, tourist sentiment scores fluctuated dramatically especially among foreigners, and people focused less on tourism related activities. This study reveals the changing illustrations of vacation rentals in highly internationalized megacities under the pandemic's influence. It offers a methodological assessment framework to monitor the hospitality sector over time and aims to serve as a reference for preparedness in similar cities worldwide.

Identifiants

pubmed: 34540564
doi: 10.1016/j.scs.2021.103121
pii: S2210-6707(21)00403-0
pmc: PMC8437680
doi:

Types de publication

Journal Article

Langues

eng

Pagination

103121

Informations de copyright

© 2021 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Shuai Liang (S)

School of Architecture, Harbin Institute of Technology, Harbin 150000, China.
Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150000, China.
School of Design and Environment, National University of Singapore, Singapore 117566, Singapore.

Hong Leng (H)

School of Architecture, Harbin Institute of Technology, Harbin 150000, China.
Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150000, China.

Qing Yuan (Q)

School of Architecture, Harbin Institute of Technology, Harbin 150000, China.
Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, Ministry of Industry and Information Technology, Harbin 150000, China.

Chao Yuan (C)

School of Design and Environment, National University of Singapore, Singapore 117566, Singapore.

Classifications MeSH