A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
The What, Where, and Why of Airbnb Price Determinants
Breakthrough changes in the rental market have occurred with the introduction of peer-to-peer accommodation services such as Airbnb. This phenomenon is attracting tourists who contribute to the sustainability of local trade and the economic development of the city. This research enriches the current debate on the range of factors that influence Airbnb accommodation prices. To that end, a method was developed to understand the relationship between Airbnb accommodation attributes and listing prices; and to consider variables related to the properties’ location and surrounding urban environment, considering the touristic characteristics of the four Spanish Mediterranean Arc cities selected as case study. A multivariable analysis technique is used for estimating a hedonic price model that adopts the ordinary least squares and the quantile regression methods. The findings obtained for the impact of location on listing prices are contrary to previous studies. In fact, accommodation prices increase incrementally by 1.3% per kilometer from the tourist area, which in all four cases are situated in the historic area of the city. However, at the same time, accommodation prices decrease incrementally as distance from the coastline increases. Lastly, results related to how the listings’ accommodation, host, and advertising characteristics impact Airbnb prices concur with previous studies.
The What, Where, and Why of Airbnb Price Determinants
Breakthrough changes in the rental market have occurred with the introduction of peer-to-peer accommodation services such as Airbnb. This phenomenon is attracting tourists who contribute to the sustainability of local trade and the economic development of the city. This research enriches the current debate on the range of factors that influence Airbnb accommodation prices. To that end, a method was developed to understand the relationship between Airbnb accommodation attributes and listing prices; and to consider variables related to the properties’ location and surrounding urban environment, considering the touristic characteristics of the four Spanish Mediterranean Arc cities selected as case study. A multivariable analysis technique is used for estimating a hedonic price model that adopts the ordinary least squares and the quantile regression methods. The findings obtained for the impact of location on listing prices are contrary to previous studies. In fact, accommodation prices increase incrementally by 1.3% per kilometer from the tourist area, which in all four cases are situated in the historic area of the city. However, at the same time, accommodation prices decrease incrementally as distance from the coastline increases. Lastly, results related to how the listings’ accommodation, host, and advertising characteristics impact Airbnb prices concur with previous studies.
The What, Where, and Why of Airbnb Price Determinants
V. Raul Perez-Sanchez (author) / Leticia Serrano-Estrada (author) / Pablo Marti (author) / Raul-Tomas Mora-Garcia (author)
2018
Article (Journal)
Electronic Resource
Unknown
Airbnb , price determinants , touristic cities , accommodation prices , ordinary least squares , quantile regression method , sustainability , urban environment , collaborative consumption , Environmental effects of industries and plants , TD194-195 , Renewable energy sources , TJ807-830 , Environmental sciences , GE1-350
Metadata by DOAJ is licensed under CC BY-SA 1.0
Analyzing Spatial Variance of Airbnb Pricing Determinants Using Multiscale GWR Approach
| DOAJ | 2020
Determinants of Guest Experience in Airbnb: A Topic Modeling Approach Using LDA
| DOAJ | 2020
Airbnb Headquarter, San Francisco
British Library Online Contents | 2017
Airbnb Reshapes Historic Cities
| DataCite | 2021