Spatial Analysis of Airbnb Properties: A Review of Applied Methods — Oak Academic Publishing
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Spatial Analysis of Airbnb Properties: A Review of Applied Methods
Department of Geography and Regional Planning, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece
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Department of Geography and Regional Planning, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece
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Department of Topography, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece
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Department of Geography and Regional Planning, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece
1 Department of Geography and Regional Planning, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece
2 Department of Geography and Regional Planning, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece
3 Department of Topography, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece
4 Department of Geography and Regional Planning, School of Surveying & Geoinformatics Engineering, National Technical University of Athens, Athens, Greece
The phenomenon of short-term house rentals has rapidly developed in recent years. The most well-known platform offering primarily short-term rentals is “Airbnb”. Initially, the platform allows hosts to rent out accommodations (apartments, houses, or even rooms). The platform allows users to filter accommodation options based on several factors, including cost per night, property category, user feedback, and proximity. The factors influencing the demand in terms of location and setting the spatial distribution of Airbnb properties have been the subject of many studies. These factors include, among others, social, economic, and demographic aspects, as well as considerations of accessibility, the location and attractiveness of popular areas, and the characteristics of the available accommodations. This paper provides an overview of the methods used in previous research papers to analyze the spatial distribution of Airbnb properties and compares the findings. By offering a structured comparison, this article aims to provide an integrated understanding of the spatial dynamics that drive Airbnb property distribution.
Kourkouridis, D., Rizos, A., Frangopoulos, I. and Salepaki, A. (2024) Airbnb and Urban Housing Dynamics: Economic and Social Impacts in Greece. Urban Science , 8, Article 148. https://doi.org/10.3390/urbansci8030148
Xu, F., Hu, M., La, L., Wang, J. and Huang, C. (2019) The Influence of Neighbourhood Environment on Airbnb: A Geographically Weighed Regression Analysis. Tourism Geographies , 22, 192-209. https://doi.org/10.1080/14616688.2019.1586987
Ferreri, M. and Sanyal, R. (2018) Platform Economies and Urban Planning: Airbnb and Regulated Deregulation in London. Urban Studies , 55, 3353-3368. https://doi.org/10.1177/0042098017751982
Gurran, N. and Phibbs, P. (2017) When Tourists Move In: How Should Urban Planners Respond to Airbnb? Journal of the American Planning Association , 83, 80-92. https://doi.org/10.1080/01944363.2016.1249011
Ravenelle, A.J. (2022) Book Review: Lily M. Hoffman and Barbara Schmitter Heisler, Airbnb, Short-Term Rentals and the Future of Housing. City & Community , 21, 82-83. https://doi.org/10.1177/15356841221076656
Angel, S. and Doganer, S. (2020) Review of Short-Term Rentals and Their Potential Social Impact. WIT Transactions on Ecology and the Environment, Seville, 8-10 July 2020, 65-75. https://doi.org/10.2495/st200061
Keycafe Blog (2024) The History of Short-Term Rentals. https://blog.keycafe.com/the-history-of-short-term-rentals/
Molz, J.G. (2012) Couchsurfing and Network Hospitality: It’s Not Just about the Furniture. Hospitality & Society , 1, 215-225. https://doi.org/10.1386/hosp.1.3.215_2
Sage, S. (2024) Benefits of Airbnbs for Communities. https://www.airdna.co/blog/benefits-of-airbnbs-for-communities
Rousanoglou, N. (2019) Airbnb Is a Blessing for Owners. https://www.kathimerini.gr/economy/business/1005718/
Papatzani, E., Pettas, D. and Balampanidis, D. (2017) Spatial, Social and Economic Effects of Airbnb Short-Term Rentals in Athens. Proceedings of the SADAS Conference : Attika in Crisis , Athens, 20-22 October 2017, 1-8.
Wachsmuth, D. and Weisler, A. (2018) Airbnb and the Rent Gap: Gentrification through the Sharing Economy. Environment and Planning A : Economy and Space , 50, 1147-1170. https://doi.org/10.1177/0308518x18778038
Quattrone, G., Proserpio, D., Quercia, D., Capra, L. and Musolesi, M. (2016) Who Benefits from the “Sharing” Economy of Airbnb? Proceedings of the 25 th International Conference on World Wide Web , Montreal, 11-15 April 2016, 1385-1394. https://doi.org/10.1145/2872427.2874815
Iliopoulou, P. and Stratakis, P. (2019) Spatial Analysis of Airbnb in the Greater Athens Region, Greece. Proceedings of the 12 th International Conference of the Hellenic Geographical Society , Athens, 1-4 November 2019. https://www.researchgate.net/publication/337151452_SPATIAL_ANALYSIS_OF_AIRBNB_IN_THE_GREATER_ATHENS_REGION_GREECE
Lagonigro, R., Martori, J.C. and Apparicio, P. (2020) Understanding Airbnb Spatial Distribution in a Southern European City: The Case of Barcelona. Applied Geography , 115, Article 102136. https://doi.org/10.1016/j.apgeog.2019.102136
Gutiérrez, J., García-Palomares, J.C., Romanillos, G. and Salas-Olmedo, M.H. (2017) The Eruption of Airbnb in Tourist Cities: Comparing Spatial Patterns of Hotels and Peer-to-Peer Accommodation in Barcelona. Tourism Management , 62, 278-291. https://doi.org/10.1016/j.tourman.2017.05.003
La, L., Xu, F., Hu, M. and Xiao, C. (2021) Location of Airbnb and Hotels: The Spatial Distribution and Relationships. Tourism Review , 77, 209-224. https://doi.org/10.1108/tr-10-2020-0476
Singh, N. and Azevedo, A.B. (2021) Geography of Airbnb in Barcelona and Lisbon: A Comparative Study. Finisterra , 56, 151-173.
Adamiak, C., Szyda, B., Dubownik, A. and García-Álvarez, D. (2019) Airbnb Offer in Spain—Spatial Analysis of the Pattern and Determinants of Its Distribution. ISPRS International Journal of Geo - Information , 8, Article 155. https://doi.org/10.3390/ijgi8030155
Singh Garha, N. (2021) The Spatial Penetration of Airbnb in the Main Tourist Cities of Spain: Extent and Determinants. Documents d ’ Anàlisi Geogràfica , 68, 167-194. https://doi.org/10.5565/rev/dag.681
Eugenio-Martin, J.L., Cazorla-Artiles, J.M. and González-Martel, C. (2019) On the Determinants of Airbnb Location and Its Spatial Distribution. Tourism Economics , 25, 1224-1244. https://doi.org/10.1177/1354816618825415
Domènech, A., Larpin, B., Schegg, R. and Scaglione, M. (2019) Disentangling the Geographical Logic of Airbnb in Switzerland. Erdkunde , 73, 245-258. https://doi.org/10.3112/erdkunde.2019.04.01
Domènech, A. and Zoğal, V. (2020) Geographical Dimensions of Airbnb in Mountain Areas: The Case of Andorra. Journal of Rural Studies , 79, 361-372. https://doi.org/10.1016/j.jrurstud.2020.08.051
Su, X., Zhi, Y., Jiang, C. and Zhang, K. (2025) Spatial Dynamics of Airbnb: Locational Factors in Birth and Survival. Tourism Economics , 31, 1674-1701. https://doi.org/10.1177/13548166251382857
Sarkar, A., Koohikamali, M. and Pick, J.B. (2017) Spatiotemporal Patterns and Socioeconomic Dimensions of Shared Accommodations: The Case of Airbnb in Los Angeles, California. ISPRS Annals of the Photogrammetry , Remote Sensing and Spatial Information Sciences , 4, 107-114. https://doi.org/10.5194/isprs-annals-iv-4-w2-107-2017
Sarkar, A., Pick, J.B. and Jabeen, S. (2023) Spatiotemporal Patterns and Socioeconomic Influences on Host Participation in Short-Term Rental Markets: Airbnb in San Francisco. ISPRS International Journal of Geo - Information , 13, Article 4. https://doi.org/10.3390/ijgi13010004
Quattrone, G., Greatorex, A., Quercia, D., Capra, L. and Musolesi, M. (2018) Analyzing and Predicting the Spatial Penetration of Airbnb in U.S. Cities. EPJ Data Science , 7, Article No. 31. https://doi.org/10.1140/epjds/s13688-018-0156-6
Sarkar, A., Koohikamali, M. and Pick, J.B. (2019) Spatial and Socioeconomic Analysis of Host Participation in the Sharing Economy. Information Technology & People , 33, 983-1009. https://doi.org/10.1108/itp-10-2018-0481
Ki, D. and Lee, S. (2019) Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea. Sustainability , 11, Article 4108. https://doi.org/10.3390/su11154108
Sun, S., Zhang, S. and Wang, X. (2021) Characteristics and Influencing Factors of Airbnb Spatial Distribution in China’s Rapid Urbanization Process: A Case Study of Nanjing. PLOS ONE , 16, e0248647. https://doi.org/10.1371/journal.pone.0248647
Sun, S., Wang, X. and Hu, M. (2022) Spatial Distribution of Airbnb and Its Influencing Factors: A Case Study of Suzhou, China. Applied Geography , 139, Article 102641. https://doi.org/10.1016/j.apgeog.2022.102641
Jiang, X., Ye, D., Li, K., Feng, R., Wu, Y. and Yang, T. (2024) Built Environment and Airbnb Spatial Distribution in Hong Kong: A Case Study Considering the Spatial Heterogeneity and Multiscale Effects. Applied Geography , 166, Article 103262. https://doi.org/10.1016/j.apgeog.2024.103262