Airbnb Short-term Housing Rental Status Prediction Model Under the Impact of the COVID-19 Pandemic

Zhixiang Lu

doi:10.1051/e3sconf/202125101017

All issues

Volume 251 (2021)

E3S Web Conf., 251 (2021) 01017

References

Open Access

Issue		E3S Web Conf. Volume 251, 2021 2021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)


Article Number		01017
Number of page(s)		5
Section		Analysis of Energy Industry Economy and Consumption Structure Model
DOI		https://doi.org/10.1051/e3sconf/202125101017
Published online		15 April 2021

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[1] Miller, S. R., “Transferable Sharing Rights: A Theoretical Model for Regulating Airbnb and the Short-Term Rental Market.” Social Science Electronic Publishing (2014). [Google Scholar]

[2] Leon, Adlpd, et al. “Impact Of Trust On The Platform And On The Host In The Airbnb Accommodation Rental Market El Impacto De La Confianza En La Plataforma Y En El Anfitrion En La Renta De Alojamiento En Airbnb.” Revista Internacional Administracion & Finanzas 13 (2020). [Google Scholar]

[3] J. Lladós-Masllorens, and A. Meseguer-Artola. “Price Determinants of Tourist Accommodation Rental: Airbnb in Barcelona and Madrid.” Research & Innovation Forum (2019). [Google Scholar]

[4] Williams, and Rudi. “Clarification of ROA’s Non- Partisan Status and Building Rental Use.” Officer (2004). [Google Scholar]

[5] Cooper, M., “A-Plant forecasts UK rental market growth.” Contract Journal (2005). [Google Scholar]

[6] Guerriero, F., and F. Olivito. “Revenue Models and Policies for the Car Rental Industry.” Journal of Mathematical Modelling & Algorithms 133(2014):247–282. [Google Scholar]

[7] Dong, Y., B. Du, and L. Zhang. “Target Detection Based on Random Forest Metric Learning.” IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing 8. 4(2017):1830–1838. [Google Scholar]