Exploring the Booking Determinants of the Airbnb Properties: An Example of the Listings of London.

Qiu, R., Fan, X. and Liu, A., 2017. Exploring the Booking Determinants of the Airbnb Properties: An Example of the Listings of London. In: Annual eTourism Conference (ENTER), 24-26 January 2018, Jönköping, Sweden, 44 - 51.

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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

Item Type:Conference or Workshop Item (Paper)
Group:Faculty of Management
ID Code:30320
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:06 Feb 2018 11:46
Last Modified:06 Feb 2018 11:46

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