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Key Factors Affecting the Price of Airbnb Listings: A Geographically Weighted Approach

Author

Listed:
  • Zhihua Zhang

    (Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, TN 37996-2313, USA)

  • Rachel J. C. Chen

    (Center for Sustainable Business and Development, The University of Tennessee, 311 Conference Center Building, Knoxville, TN 37996-4134, USA)

  • Lee D. Han

    (Department of Civil and Environmental Engineering, 319 John D. Tickle Building, The University of Tennessee, Knoxville, TN 37996-2313, USA)

  • Lu Yang

    (Department of Civil and Environmental Engineering, The University of Tennessee, Knoxville, TN 37996-2313, USA)

Abstract

Airbnb has been increasingly gaining popularity since 2008 due to its low prices and direct interactions with the local community. This paper employed a general linear model (GLM) and a geographically weighted regression (GWR) model to identify the key factors affecting Airbnb listing prices using data sets of 794 samples of Airbnb listings of business units in Metro Nashville, Tennessee. The results showed that the GWR model performs better than the GLM in terms of accuracy and affected variable selections. Statistically significant differences varied across regions in Metro Nashville. The coefficients illustrate a decreasing trend while there is an increase in the distance from the listed units to the convention center, which indicates that Airbnb listing prices are more sensitive to the distance from the convention center in the central area than in other areas. These findings can also provide implications for stakeholders such as Airbnb hosts to gain a better understanding of the market situation and formulate a suitable pricing strategy.

Suggested Citation

  • Zhihua Zhang & Rachel J. C. Chen & Lee D. Han & Lu Yang, 2017. "Key Factors Affecting the Price of Airbnb Listings: A Geographically Weighted Approach," Sustainability, MDPI, vol. 9(9), pages 1-13, September.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:9:p:1635-:d:111958
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    Cited by:

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    3. Insu Hong & Changsok Yoo, 2020. "Analyzing Spatial Variance of Airbnb Pricing Determinants Using Multiscale GWR Approach," Sustainability, MDPI, vol. 12(11), pages 1-18, June.
    4. Kisieliauskas Justinas, 2023. "Host-Related Factors Influencing Airbnb Prices in Rural Areas," Management Theory and Studies for Rural Business and Infrastructure Development, Sciendo, vol. 45(4), pages 379-389, December.
    5. Yifei Jiang & Honglei Zhang & Xianting Cao & Ge Wei & Yang Yang, 2023. "How to better incorporate geographic variation in Airbnb price modeling?," Tourism Economics, , vol. 29(5), pages 1181-1203, August.
    6. 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.
    7. Bobrovskaya, EV. & Polbin, A., 2023. "Econometric modeling of the demand for short-term rental housing: The case of Airbnb in Moscow," Journal of the New Economic Association, New Economic Association, vol. 59(2), pages 64-84.
    8. Chunfang Zhao & Yingliang Wu & Yunfeng Chen & Guohua Chen, 2023. "Multiscale Effects of Hedonic Attributes on Airbnb Listing Prices Based on MGWR: A Case Study of Beijing, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    9. Augusto Voltes-Dorta & Federico Inchausti-Sintes, 2021. "The spatial and quality dimensions of Airbnb markets," Tourism Economics, , vol. 27(4), pages 688-702, June.
    10. Bobrovskaya, Ekaterina & Polbin, Andrey, 2022. "Determinants of short-term rental prices in the sharing economy: The case of Airbnb in Moscow," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 65, pages 5-28.
    11. V. Raul Perez-Sanchez & Leticia Serrano-Estrada & Pablo Marti & Raul-Tomas Mora-Garcia, 2018. "The What, Where, and Why of Airbnb Price Determinants," Sustainability, MDPI, vol. 10(12), pages 1-31, December.
    12. Agustín Álvarez-Herranz & Edith Macedo-Ruíz, 2021. "An Evaluation of the Three Pillars of Sustainability in Cities with High Airbnb Presence: A Case Study of the City of Madrid," Sustainability, MDPI, vol. 13(6), pages 1-35, March.
    13. Fernández Ferrero, María del Mar & Teruel Gutiérrez, Ricardo & Maté Sánchez-Val, Mariluz, 2022. "El impacto del deterioro medioambiental del Mar Menor en los precios de Airbnb [The environmental degradation impact in Mar Menor]," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 34(1), pages 446-465, December.
    14. 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.
    15. Josep Lladós-Masllorens & Antoni Meseguer-Artola & Inma Rodríguez-Ardura, 2020. "Understanding Peer-to-Peer, Two-Sided Digital Marketplaces: Pricing Lessons from Airbnb in Barcelona," Sustainability, MDPI, vol. 12(13), pages 1-19, June.
    16. Meisam Ranjbari & Gustavo Morales-Alonso & Ruth Carrasco-Gallego, 2018. "Conceptualizing the Sharing Economy through Presenting a Comprehensive Framework," Sustainability, MDPI, vol. 10(7), pages 1-24, July.
    17. Meijian Yang & Enjun Xia, 2021. "A Systematic Literature Review on Pricing Strategies in the Sharing Economy," Sustainability, MDPI, vol. 13(17), pages 1-28, August.
    18. Zhihua Zhang & Rachel J. C. Fu, 2020. "Accommodation Experience in the Sharing Economy: A Comparative Study of Airbnb Online Reviews," Sustainability, MDPI, vol. 12(24), pages 1-11, December.

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