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Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea

Author

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  • Donghwan Ki

    (Department of Urban Planning & Engineering, Hanyang University, Seoul 04763, Korea)

  • Sugie Lee

    (Department of Urban Planning & Engineering, Hanyang University, Seoul 04763, Korea)

Abstract

The popularity of the sharing economy, including organizations such as Airbnb and Uber, has increased rapidly over the last few years. Regarding Airbnb, several studies have demonstrated potential problems related to it, such as rising housing costs and worsening residential environments. Despite its popularity and possibility of problems, however, the locational characteristics of Airbnb have not been thoroughly examined in the urban planning and public policy fields. Therefore, this study analyzed the locational characteristics of Airbnb in Seoul and identified potential problems in urban planning. First, we analyzed an operation status of Airbnb in terms of the commercial host. After that, we identified spatial distributions of Airbnb and examined influential factors that affected the locational characteristics of Airbnb using a negative binomial regression model. The results of this study are as follows. First, a considerable number of units were operated by commercial hosts, in contrast to the original concept of Airbnb as being part of the sharing economy. This finding indicates that there would be a potential conflict between Airbnb businesses and housing policy in urban areas. Second, Airbnb units were mainly located in residential areas, especially around multiplexes and townhouses. This finding indicates that Airbnb may decrease the availability of housing in the housing market. Third, Airbnb units were located preferentially in areas adjacent to universities or subway stations, as well as in areas with high ratios of single-person households. Considering these characteristics of Airbnb and the directions of government housing policy, urban scholars and policymakers should pay close attention to the potential conflict between the spatial distributions of Airbnb units and housing policies.

Suggested Citation

  • Donghwan Ki & Sugie Lee, 2019. "Spatial Distribution and Location Characteristics of Airbnb in Seoul, Korea," Sustainability, MDPI, vol. 11(15), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4108-:d:252878
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    References listed on IDEAS

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    1. Gutiérrez, Javier & García-Palomares, Juan Carlos & Romanillos, Gustavo & Salas-Olmedo, María Henar, 2017. "The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona," Tourism Management, Elsevier, vol. 62(C), pages 278-291.
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    6. David Wachsmuth & Alexander Weisler, 2018. "Airbnb and the rent gap: Gentrification through the sharing economy," Environment and Planning A, , vol. 50(6), pages 1147-1170, September.
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    8. Zhihua Zhang & Rachel J.C. Chen, 2019. "Assessing Airbnb Logistics in Cities: Geographic Information System and Convenience Theory," Sustainability, MDPI, vol. 11(9), pages 1-11, April.
    9. Franco, Sofia F. & Santos, Carlos Daniel, 2021. "The impact of Airbnb on residential property values and rents: Evidence from Portugal," Regional Science and Urban Economics, Elsevier, vol. 88(C).
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    Cited by:

    1. Tarmo Kalvet & Maarja Olesk & Marek Tiits & Janika Raun, 2020. "Innovative Tools for Tourism and Cultural Tourism Impact Assessment," Sustainability, MDPI, vol. 12(18), pages 1-30, September.
    2. Ricardo Teruel-Gutierrez & Mariluz Maté-Sánchez-Val, 2021. "The impact of Instagram on Airbnb’s listing prices in the city of Barcelona," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 67(3), pages 737-763, December.
    3. Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2021. "The path of least resistance explaining tourist mobility patterns in destination areas using Airbnb data," Journal of Transport Geography, Elsevier, vol. 94(C).
    4. Shijie Sun & Shengyue Zhang & Xingjian Wang, 2021. "Characteristics and influencing factors of Airbnb spatial distribution in China’s rapid urbanization process: A case study of Nanjing," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-19, March.
    5. Reif, Julian, 2022. "Hot or not? Räumliche Analyse von Airbnb-Listings in Deutschland, Berlin, Hamburg, München und Köln," Working Paper Series 3, Deutsches Institut für Tourismusforschung, Fachhochschule Westküste.
    6. Laura Serrano & Antonio Sianes & Antonio Ariza-Montes, 2020. "Understanding the Implementation of Airbnb in Urban Contexts: Towards a Categorization of European Cities," Land, MDPI, vol. 9(12), pages 1-21, December.

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