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Quantifying Covid-19 impact on Airbnb hosting: Lisbon as a case study
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While Covid-19 impact on tourism and the sharing economy has proven to be significant by plenty of previous research, data and tools to recursively measure financial impact are missing in the current state of knowledge. This paper aims at quantifying the disease’s financial impact on Airbnb prices, bookings and hosting revenues with machine learning. The bottom-up approach used predicts a city’s losses at listing level over time and therefore grants leeway to analyzing impact across various dimensions. The city of Lisbon is used to showcase the model’s performance and versatility of results.
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Covid-19 Airbnb Sharing economy Data science Machine learning