TY - JOUR
T1 - Identification of common city characteristics influencing room occupancy
AU - Moro, Sérgio
AU - Rita, Paulo
N1 - Moro, S., & Rita, P. (2019). Identification of common city characteristics influencing room occupancy. International Journal of Tourism Cities, 5(3), 482-490. https://doi.org/10.1108/IJTC-08-2018-0063
PY - 2019/11/29
Y1 - 2019/11/29
N2 - Purpose: National tourism offices worldwide implement marketing strategies to influence tourists’ choices. However, there is more than meets the eye when it comes to choosing a city as a tourism destination. The purpose of this paper is to answer which are the characteristics that play a key role in room occupancy. Design/methodology/approach: Diverse characteristics such as the city offer, demographics, natural amenities (e.g. number of beaches) and also politics (e.g. type of government) are combined into a decision tree model to unveil the relevance of each in determining room occupancy. The empirical experiments used data known in 2015 from 43 cities from Europe and the rest of the World to model room occupancy rate in 2016. Findings: While the seasonality effect plays the most significant role, other less studied features such as the type of political party prior to current government were found to have an impact in room occupancy. Originality/value: This study unveiled that center–right and right governments are generally more sensitive to promote its city as a tourism destination.
AB - Purpose: National tourism offices worldwide implement marketing strategies to influence tourists’ choices. However, there is more than meets the eye when it comes to choosing a city as a tourism destination. The purpose of this paper is to answer which are the characteristics that play a key role in room occupancy. Design/methodology/approach: Diverse characteristics such as the city offer, demographics, natural amenities (e.g. number of beaches) and also politics (e.g. type of government) are combined into a decision tree model to unveil the relevance of each in determining room occupancy. The empirical experiments used data known in 2015 from 43 cities from Europe and the rest of the World to model room occupancy rate in 2016. Findings: While the seasonality effect plays the most significant role, other less studied features such as the type of political party prior to current government were found to have an impact in room occupancy. Originality/value: This study unveiled that center–right and right governments are generally more sensitive to promote its city as a tourism destination.
KW - City characteristics
KW - Data mining
KW - Hotels
KW - Natural amenities
KW - Room occupancy
UR - http://www.scopus.com/inward/record.url?scp=85065254337&partnerID=8YFLogxK
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000500120300013
U2 - 10.1108/IJTC-08-2018-0063
DO - 10.1108/IJTC-08-2018-0063
M3 - Article
AN - SCOPUS:85065254337
VL - 5
SP - 482
EP - 490
JO - International Journal of Tourism Cities
JF - International Journal of Tourism Cities
SN - 2056-5607
IS - 3
ER -