Abstract
This study explores the effects of location variables on Airbnb listing performance. In particular, three groups of antecedents are explored: healthy and sustainable transportation systems (metro, tourist bus and bike-sharing), commerce (food and non-food establishments and shop centers) and spillover (nearby Airbnb listings). The study includes five groups of control variables, articulated in no-location variables (size, contractual terms, rules, host and guest) and one widely used location antecedent (distance to the city center). Three hypotheses are tested, all supposing a positive effect on listing revenue generated by the three additional groups of location variables (transport, commerce and spillover). The empirical study is carried out in the city of Milan (Italy), a complex destination able to attract (before the COVID-19 outbreak) different targets with an important focus on fashion and design. Four models are proposed, and empirical findings support the hypotheses. Interestingly, food shops are not significant, while the non-food and commercial centers positively affect the revenues.
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References
Anselin, L.: Spatial Econometrics: Methods and Models. Kluwer Academic Publishers, Dordrecht (1988)
BenÃtez-Aurioles, B.: Why are flexible booking policies priced negatively? Tour. Manage. 67, 312–325 (2018)
Cai, Y., Zhou, Y., Scott, N.: Price determinants of Airbnb listings: evidence from Hong Kong. Tour. Anal. 24(2), 227–242 (2019)
Chang, C.L., Hsu, S.H., McAleer, M.: Risk Spillovers in Returns for Chinese and International Tourists to Taiwan. J. Travel Res. 59(2), 335–351 (2020)
Chattopadhyay, M., Mitra, S.K.: Do airbnb host listing attributes influence room pricing homogenously? Int. J. Hosp. Manag. 81, 54–64 (2019)
Chen, Y., Xie, K.: Consumer valuation of Airbnb listings: a hedonic pricing approach. International Journal of Contemporary Hospitality Management 29(9), 2405–2424 (2019).
Cheng, M., Jin, X.: What do Airbnb users care about? An analysis of online review comments. Int. J. Hosp. Manag. 76, 58–70 (2019)
Chica-Olmo, J., Cano-Guervos, R., Chica-Olmo, M.: A coregionalized model to predict housing prices. Urban Geogr. 34(3), 395–412 (2013)
Chica-Olmo, J., González-Morales, J.G., Zafra-Gómez, J.L.: Effects of location on Airbnb apartment pricing in Málaga. Tour. Manage. 77, 103981 (2020)
Deboosere, R., Kerrigan, D.J., Wachsmuth, D., El-Geneidy, A.: Location, location and professionalization: a multilevel hedonic analysis of Airbnb listing prices and revenue. Reg. Stud. Reg. Sci. 6(1), 143–156 (2019)
GarcÃa, M.N., Munoz-Gallego, P.A., Viglia, G., Gonzalez-Benito, O.: Be social! The impact of self-presentation on peer-to-peer accommodation revenue. J. Travel Res. 59(7), 1268–1281 (2019)
Halvorsen, R., Palmquist, R.: The interpretation of dummy variables in semi-logarithmic equations. American Economic Review 70(3), 474–475 (1980)
Kaplan, S., Manca, F., Nielsen, T.A., Prato, C.G.: Intentions to use bike-sharing for holiday cycling: An application of the Theory of Planned Behavior. Tour. Manage. 47, 34–46 (2015)
Karlsson, L., Dolnicar, S.: Someone’s been sleeping in my bed. Ann. Tour. Res. 58, 159–162 (2016)
Kelejian, H.H., Prucha, I.R.: A generalized spatial two-stage least squares procedure for estimating a spatial autoregressive model with autoregressive disturbances. The Journal of Real Estate Finance and Economics 17(1), 99–121 (1998)
Keown, C., Jacobs, L., Worthley, R.: American tourists’ perception of retail stores in 12 selected countries. J. Travel Res. 22(3), 26–30 (1984)
Lehto, X.Y., Chen, S.Y., Silkes, C.: Tourist shopping style preferences. J. Vacat. Mark. 20(1), 3–15 (2014)
Le-Klähn, D.-T., Roosen, J., Gerike, R., Hall, C.M.: Factors affecting tourists’ public transport use and areas visited at destinations. Tour. Geogr. 17(5), 738–757 (2015)
Lorde, T., Jacob, J., Weekes, Q.: Price-setting behavior in a tourism sharing economy accommodation market: a hedonic price analysis of Airbnb hosts in the Caribbean. Tourism Management Perspectives 30, 251–261 (2019)
Moreno Izquierdo, L., Egorova, G., Peretó Rovira, A., Más Ferrando, A.: Exploring the use of artificial intelligence in price maximisation in the tourism sector: its application in the case of Airbnb in the Valencian Community. Journal of Regional Research 42, 113–128 (2018)
Önder, I., Weismayer, C., Gunter, U.: Spatial price dependencies between the traditional accommodation sector and the sharing economy. Tour. Econ. 25(8), 1150–1166 (2019)
Oskam, J., van der Rest, J.P., Telkamp, B.: What’s mine is yours—but at what price? Dynamic pricing behavior as an indicator of Airbnb host professionalization. Journal of Revenue and Pricing Management 17(5), 311–328 (2018)
Paulauskaite, D., Powell, R., Coca-Stefaniak, J.A., Morrison, A.M.: Living like a local: Authentic tourism experiences and the sharing economy. Int. J. Tour. Res. 19(6), 619–628 (2017)
Perez-Sanchez, V.R., Serrano-Estrada, L., Marti, P., Mora-Garcia, R.T.: The what, where, and why of Airbnb price determinants. Sustainability 10(12), 4596 (2018)
Ribes, J.F., Izquierdo, L., RodrÃguez, A., Such Devesa, M.J.: The Rental Prices of the Apartments under the New Tourist Environment: A Hedonic Price Model Applied to the Spanish Sun-and-Beach Destinations. Economies 6(23), 1–9 (2018)
Sainaghi, R.: The current state of academic research into peer-to-peer accommodation platforms. Int. J. Hosp. Manag. 89, 102555 (2020)
Sainaghi, R.: Determinants of price and revenue for peer-to-peer hosts. The state of the art. International Journal of Contemporary Hospitality Management 33(2), 557–586 (2020b).
Sainaghi, R., Baggio, R.: Clusters of topics and research designs in peer-to-peer accommodation platforms. International Journal of Hospitality Management 102393 (2019a).
Sainaghi, R., Baggio, R.: Destination Events, Stability, and Turning Points of Development. J. Travel Res. 60(1), 172–183 (2019)
Sainaghi, R., Mauri, A.: The Milan World Expo 2015: hospitality operating performance and seasonality effects. Int. J. Hosp. Manag. 72, 32–46 (2018)
Sainaghi, R., Abrate, G., Mauri, A.: Price and RevPAR determinants of airbnb listings: convergent and divergent evidence. Int. J. Hosp. Manag. 92, 102709 (2021)
Sainaghi, R., Köseoglu, M.A., Mehraliyev, F.: The intellectual structure of the sharing economy. Tour. Econ. 27(5), 1137–1156 (2020)
Sainaghi, R., Köseoglu, M.A., d’Angella, F., Mehraliyev, F.: Sharing economy: a co-citation analysis. Curr. Issue Tour. 23(8), 929–937 (2019)
Sainaghi, R., Mauri, A., d’Angella, F.: Decomposing seasonality in an urban destination: the case of Milan. Curr. Issue Tour. 22(16), 1919–1924 (2018)
Sainaghi, R., Mauri, A., Ivanov, S., d’Angella, F.: Mega events and seasonality: The case of the Milan World Expo 2015. Int. J. Contemp. Hosp. Manag. 31(1), 61–86 (2019)
Silverman, B. W.: Density estimation for statistics and data analysis. Routledge (2018).
Soler, I.P., Gemar, G.: Hedonic price models with geographically weighted regression: An application to hospitality. Journal of Destination Marketing Management 9, 126–137 (2018)
Tang, L.R., Kim, J., Wang, X.: Estimating spatial effects on peer-to-peer accommodation prices: Towards an innovative hedonic model approach. Int. J. Hosp. Manag. 81, 43–53 (2019)
Tobler, W.R.: A computer movie simulating urban growth in the Detroit region. Econ. Geogr. 46(1), 234–240 (1970)
Tong, B., Gunter, U.: Hedonic pricing and the sharing economy: how profile characteristics affect Airbnb accommodation prices in Barcelona, Madrid, and Seville. Current Issues in Tourism https://doi.org/10.1080/13683500.2020.1718619 (2020)
Visser, G., Erasmus, I., Miller, M.: Airbnb: The emergence of a new accommodation type in Cape Town. South Africa. Tourism Review International 21(2), 151–168 (2017)
Wang, D., Nicolau, J. L.: Price determinants of sharing economy based accommodation rental: A study of listings from 33 cities on Airbnb. com. International Journal of Hospitality Management 62, 120–131 (2017)
Xie, K.L., Kwok, L., Heo, C.Y.: Are Neighbors Friends or Foes? Assessing Airbnb Listings’ Agglomeration Effect in New York City. Cornell Hospitality Quarterly 61(2), 128–141 (2019)
Xie, K., Mao, Z.: The impacts of quality and quantity attributes of Airbnb hosts on listing performance. Int. J. Contemp. Hosp. Manag. 29(9), 2240–2260 (2017)
Xie, K., Mao, Z.E., Wu, J.: Learning from peers: The effect of sales history disclosure on peer-to-peer short-term rental purchases. Int. J. Hosp. Manag. 76, 173–183 (2019)
Yang, Y., Mao, Z.: Location advantages of lodging properties: A comparison between hotels and Airbnb units in an urban environment. Ann. Tour. Res. 81, 102861 (2020)
Yang, Y., Fik, T.J., Zhang, H.L.: Designing a tourism spillover index based on multidestination travel: A two-stage distance-based modeling approach. J. Travel Res. 56(3), 317–333 (2017)
Yang, Y., Wong, K.K., Wang, T.: How do hotels choose their location? Evidence from hotels in Beijing. Int. J. Hosp. Manag. 31(3), 675–685 (2012)
Zhang, Z., Chen, R.J., Han, L.D., Yang, L.: Key factors affecting the price of Airbnb listings: A geographically weighted approach. Sustainability 9(9), 1635 (2017)
Zhou, B., Wen, Z., Sutherland, I., Lee, S.K.: The spatial heterogeneity and dynamics of tourism-flow spillover effect: The role of high-speed train in China. Tour. Econ. 28(2), 300–324 (2020)
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Chica-Olmo, J., Sainaghi, R. (2023). The Effects of Healthy and Sustainable Transportation, Commerce, and Spillover on Airbnb Performance. In: Valenzuela, O., Rojas, F., Herrera, L.J., Pomares, H., Rojas, I. (eds) Theory and Applications of Time Series Analysis. ITISE 2022. Contributions to Statistics. Springer, Cham. https://doi.org/10.1007/978-3-031-40209-8_3
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