Abstract
City managers and planners seek insights into Airbnb logistics in cities for the purposes of effective lodging management. This requires managers and planners to gain a holistic understanding of Airbnb geographic dynamics, which has drawn limited attention in the literature. To fill this gap, this paper explored Airbnb supply and logistics in three cities (New York City, Los Angeles, and Chicago) through the lenses of geographic clustering and location convenience. We explored the spatial allocations of Airbnb supply in cities and investigated Airbnb’s influencing factors at the census tract level, utilizing spatial regression models. The results showed that (1) the spatial distribution of Airbnb supply in all three cities has a clear center-peripheral pattern, indicating that Airbnb allocations predominate in the central area of the city; (2) the number of housing units and points of interest (POI) have an influential impact on Airbnb supply for three cities; (3) the proportion of youth population and employment has a positive effect on Airbnb supply in NYC and Chicago, but not in LA, while the distance to the city center negatively affects Airbnb supply in LA and Chicago, but not in NYC; (4) the income has a mixed effect on Airbnb supply in three cities, while the proportion of African Americans and education level has only a positive effect on Airbnb supply in NYC; and (5) rent is not associated with Airbnb supply for all three cities, which indicates that the Airbnb explosion may not contribute to rent increases in cities.
Highlights
In recent years, the sharing economy has undergone exponential growth among various business sectors such as transportation (e.g., Uber, Lyft) and accommodation (e.g., Airbnb)
The estimated spatial lag model (SLM) results for New York City (NYC) showed that Young People, Black People, Employment, Education, Housing Unit, and points of interest (POI) have significant and positive effects on Airbnb supply, while Population and Income negatively affect Airbnb supply
Under the lens of residential clustering and geographic convenience, this paper examined the Airbnb supply in three cities: NYC, Los Angeles (LA), and Chicago
Summary
The sharing economy has undergone exponential growth among various business sectors such as transportation (e.g., Uber, Lyft) and accommodation (e.g., Airbnb). City managers and planners have been seeking insights into Airbnb logistics in cities for the sake of effective lodging management This requires managers and planners to gain a holistic understanding of Airbnb geographic dynamics, which has received limited treatment in the literature. Residential clustering is a notable phenomenon in geography, which refers to the tendency of people with similar characteristics (e.g., race, ethnicity, and socioeconomic status) to live in the same neighborhood. It may shape the spatial distribution of Airbnb because, unlike a hotel, Airbnb listings can be established wherever houses and apartment buildings already exist. We explored the relationships between residential clustering and geographic convenience and Airbnb spatial patterns across three cities in the USA (New York City, Los Angeles, and Chicago)
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