Exploring the Booking Determinants of the Airbnb Properties: An Example of the Listings of London
Authors: Qiu, R., Fan, X. and Liu, A.
Conference: Annual eTourism Conference (ENTER)
Dates: 24-26 January 2018
Journal: Information and Communication Technologies in Tourism 2018
Pages: 44-51
Publisher: Springer
https://eprints.bournemouth.ac.uk/30320/
Source: Manual
Exploring the Booking Determinants of the Airbnb Properties: An Example of the Listings of London
Authors: Qiu, R., Fan, X. and Liu, A.
Conference: Annual eTourism Conference (ENTER)
Pages: 44-51
Publisher: Springer
Abstract:The aim of this paper is to investigate the factors which influence the probability of an Airbnb property being booked using the properties in London as an example. A binomial logistic model is estimated by sequential Bayesian updating due to the large volume of the data. The results show that, in spite of the market factors revealing great influence, the attributes of the properties play a more important role in influencing the booking probability of the properties. These research findings are potentially beneficial to both the Airbnb practitioners and the industrial organizers
https://eprints.bournemouth.ac.uk/30320/
Source: BURO EPrints