Cities reshaped by Airbnb: A case study in New York City, Chicago, and Los Angeles.

Airbnb GIS spatial analysis

Journal

Environment & planning A
ISSN: 0308-518X
Titre abrégé: Environ Plan A
Pays: United States
ID NLM: 101084218

Informations de publication

Date de publication:
Feb 2020
Historique:
medline: 1 2 2020
pubmed: 1 2 2020
entrez: 11 12 2023
Statut: ppublish

Résumé

In the last 10 years, Airbnb has rapidly grown from a simple, online bed and breakfast operation to a leading global hospitality service provider. Scholars have been using different spatial analysis tools to study its potential impacts on cities. To better understand Airbnb's impact this featured graphic applied a cartogram processing tool to reshape census tracts based on Airbnb listing intensity in three major US cities (New York City, Chicago, and Los Angeles). Results showed that different cities have different patterns of Airbnb listings. Census tracts in New York City became completely unrecognizable after the analysis, which indicted a highly skewed Airbnb distribution in the city. Compared with New York City, we saw less and least deformation in Chicago and Los Angeles, respectively, where Airbnb was more evenly distributed. The results showed that Airbnb listings were very evenly distributed in the large US cities. Airbnb would impose completely different impacts on different neighborhoods based on their locations.

Identifiants

pubmed: 38076284
doi: 10.1177/0308518x19853275
pmc: PMC10704388
mid: NIHMS1911532
doi:

Types de publication

Journal Article

Langues

eng

Pagination

10-13

Subventions

Organisme : NICHD NIH HHS
ID : P2C HD042849
Pays : United States

Déclaration de conflit d'intérêts

Declaration of conflicting interests The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Auteurs

Junfeng Jiao (J)

Urban Information Lab, The University of Texas at Austin, USA.

Shunhua Bai (S)

Urban Information Lab, The University of Texas at Austin, USA.

Classifications MeSH