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ABSTRACT
Customers' hotel location evaluations are critical to hotel location decisions, future investment, visitor experience and urban tourism development. In this paper, spatial autocorrelation analysis, GeoDetection and geographically weighted models are used to explore the characteristics of the location satisfaction pattern of 1126 hotels in Wuhan and its causes.The findings suggest that there are obvious spatial clustering distribution characteristics of hotel location satisfaction in Wuhan. Distance from highway entrances/exit, scenic spot accessibility, and free parking services have the strongest positive influence on the spatial differentiation pattern of hotel location satisfaction, while hotel transportation services, the percentage of water area, and the number of universities have significant spatial differentiation characteristics on the influence of hotel location satisfaction. This study contributes to a better understanding of hotel location satisfaction pattern and its causes through multi-source data and spatial analysis techniques. The results of the study are of practical significance to the planning and development of urban hotels in Wuhan, as well as to other cities similar to Wuhan in terms of city scale, spatial layout of hotels, and tourism development.
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Xiaobo Tian
Xiaobo Tian, male, Associate Professor, School of Tourism, Lanzhou College of Arts and Sciences, with main research interests in tourism geography.
Jing Hu
Jing Hu, female, Professor, College of Urban and Environmental Sciences, Central China Normal University, PhD supervisor, with main research interests in tourism and regional development.