Results 211 to 220 of about 13,913 (283)
Tourism, Real Estate, and Urban Pressures: The case of Marsascala, Malta. [PDF]
Agius K +2 more
europepmc +1 more source
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Airbnb or not Airbnb? That is the question: How Airbnb bans disrupt rental markets
Real Estate Economics, 2023AbstractThis study focuses on legislative bans imposed on short‐term rentals (STRs) and evaluates their effects on long‐term rentals in Irvine, CA. We find that contract rental prices in the long‐term rental market decrease by 3.0% within approximately 2 years after the enforcement of STR ordinance.
Michael J. Seiler +2 more
openaire +2 more sources
This thesis investigates the e ect of the COVID-19 pandemic on the Airbnb market in the Czech Republic. 10501 Prague listings were analysed using the method of cross-sectional logistic regression, and the key factors di erentiating the listings that remained active despite the pandemic were determined. The author indicates sixteen explanatory variables
Šáchová, Lenka
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The Effect of Home-Sharing on House Prices and Rents: Evidence from Airbnb
Marketing Science, 2021We assess the impact of Airbnb on residential house prices and rents: using a data set of Airbnb listings from the entire United States and an instrumental variables estimation strategy, we show that Airbnb has a positive impact on house prices and rents.
Edward Kung, Davide Proserpio
exaly +2 more sources
What do Airbnb users care about? An analysis of online review comments
International Journal of Hospitality Management, 2019This study investigates the attributes that influence Airbnb users’ experiences by analysing a “big data” set of online review comments through the process of text mining and sentiment analysis.
Mingming Cheng, Xin Jin
exaly +2 more sources
International Journal of Contemporary Hospitality Management, 2023
Purpose The prediction of Airbnb listing prices predominantly uses a set of amenity-driven features. Choosing an appropriate set of features from thousands of available amenity-driven features makes the prediction task difficult.
Indranil Ghosh +2 more
semanticscholar +1 more source
Purpose The prediction of Airbnb listing prices predominantly uses a set of amenity-driven features. Choosing an appropriate set of features from thousands of available amenity-driven features makes the prediction task difficult.
Indranil Ghosh +2 more
semanticscholar +1 more source
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
Management Sciences, 2021We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property.
Shunyuan Zhang +3 more
semanticscholar +1 more source
Journal of Travel Research, 2023
User-generated content (UGC) has been validated as an important factor in travel decisions. However, it is still unclear whether different types of UGC function differently.
Sihan Li +3 more
semanticscholar +1 more source
User-generated content (UGC) has been validated as an important factor in travel decisions. However, it is still unclear whether different types of UGC function differently.
Sihan Li +3 more
semanticscholar +1 more source
Effects of reputation on guest satisfaction: from the perspective of two-sided reviews on Airbnb
International Journal of Contemporary Hospitality Management, 2023Purpose From the perspective of two-sided review systems, this study aims to investigate how guests’ prior reputation influences their subsequent satisfaction on Airbnb.
Q. Ye, Sai Liang, Zaiyan Wei, R. Law
semanticscholar +1 more source

