Wang, Y. , Livingston, M. , Mcarthur, D. P. and Bailey, N. (2024) Enhancing our understanding of short-term rental activity: a daily scrape-based approach for Airbnb listings. PLoS ONE, 19(2), e0298131. (doi: 10.1371/journal.pone.0298131) (PMID:38324608) (PMCID:PMC10849255)
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Abstract
The growth of the online short-term rental market, facilitated by platforms such as Airbnb, has added to pressure on cities’ housing supply. Without detailed data on activity levels, it is difficult to design and evaluate appropriate policy interventions. Up until now, the data sources and methods used to derive activity measures have not provided the detail and rigour needed to robustly carry out these tasks. This paper demonstrates an approach based on daily scrapes of the calendars of Airbnb listings. We provide a systematic interpretation of types of calendar activity derived from these scrapes and define a set of indicators of listing activity levels. We exploit a unique period in short-term rental markets during the UK’s first COVID-19 lockdown to demonstrate the value of this approach.
Item Type: | Articles |
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Additional Information: | Funding support is from ESRC-funded Urban Big Data Centre (UBDC) [ES/L011921/1 and ES/S007105/1]. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Livingston, Dr Mark and Mcarthur, Dr David and Bailey, Professor Nick and Wang, Dr Yang |
Creator Roles: | Wang, Y.Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review and editing Livingston, M.Funding acquisition, Validation, Writing – review and editing Mcarthur, D.Funding acquisition, Writing – review and editing Bailey, N.Funding acquisition, Methodology, Validation, Writing – review and editing |
Authors: | Wang, Y., Livingston, M., Mcarthur, D. P., and Bailey, N. |
College/School: | College of Social Sciences > School of Social and Political Sciences > Urban Studies |
Journal Name: | PLoS ONE |
Publisher: | Public Library of Science |
ISSN: | 1932-6203 |
ISSN (Online): | 1932-6203 |
Copyright Holders: | Copyright © 2024 Wang et al. |
First Published: | First published in PLoS ONE 19(2):e0298131 |
Publisher Policy: | Reproduced under a Creative Commons licence |
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