Host Participation in Short-term Rental Markets: Geospatial and Socioeconomic Analysis of Airbnb in San Francisco

Simple item page
dc.contributor.authorSarkar, Avijit
dc.contributor.authorPick, James
dc.contributor.authorJabeen, Shaista
dc.date.accessioned2023-12-26T18:47:32Z
dc.date.available2023-12-26T18:47:32Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2024.682
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherb54f8584-5732-42e5-ae15-4a6953f40bf0
dc.identifier.urihttps://hdl.handle.net/10125/107067
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectLocation Intelligence Research in System Sciences
dc.subjectairbnb
dc.subjectgis
dc.subjectregression
dc.subjectshort-term rental market
dc.subjectspatial patterns
dc.titleHost Participation in Short-term Rental Markets: Geospatial and Socioeconomic Analysis of Airbnb in San Francisco
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThis paper examines spatial patterns and socioeconomic influences on host participation in San Francisco’s short-term home rental markets. Spatial distributions of Airbnb property densities are mapped in a Geographic Information System and clusters and outliers are identified. Unlike major Airbnb markets, Airbnb hotspots in San Francisco are not located in the city’s core but are predominant in northeastern neighborhoods of the city located close to points of interest (POIs) frequented by visitors, have high proportions of hotel and lodging employment, and lower median household incomes. Regression results reveal that the dominant determinants of Airbnb property density are professional, scientific, and technical services, and hotel/lodging employment, Asian population, and POIs within located within 20 minutes of walking time from the centroid of the city’s census tracts. Implications of these findings are discussed to understand supply-side motivations of Airbnb hosts for participating in the shared accommodation economy.
dcterms.extent10 pages
prism.startingpage5661

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
0555.pdf
Size:
887.29 KB
Format:
Adobe Portable Document Format
Download

Collections

Location Intelligence Research in System Sciences