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The Effects of Healthy and Sustainable Transportation, Commerce, and Spillover on Airbnb Performance

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Theory and Applications of Time Series Analysis (ITISE 2022)

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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Correspondence to Ruggero Sainaghi .

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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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