An empirical analysis of Airbnb listings in forty American cities

IPA plot of Airbnb price indicators

Abstract

Over the last decade, Airbnb has evolved from a small bed and breakfast service to a global hospitality giant operating in 80,000 cities worldwide, offering various accommodations and experiences. With its expansion, there’s increased scrutiny from cities, researchers, and the public on its impacts and the need for regulation. This paper investigates how demographics, socioeconomics, and transportation influence Airbnb listings across 40 US cities. Findings reveal that listings are more prevalent in neighborhoods with good transit access, proximity to city centers, and higher median house values and incomes, indicating potential social inequality risks in the sharing economy.

Team

Junfeng Jiao , Shunhua Bai

Acknowledgmen

This research was supported by the Cooperative Mobility for Competitive Megaregions (CM2) center at The University of Texas at Austin. The authors also want to thank Jiani Guo, Jianwei Chen and Chris Bischak for their data collection efforts and useful advice on importance-performance analysis

The cover image is sourced from Pexels, is free of copyright issues, and can be used for educational purposes. https://help.pexels.com/hc/en-us/articles/360042295174

For more information, please visit: https://pubmed.ncbi.nlm.nih.gov/38282953/#