Abstract
This study is among the first attempts to understand hotel location choice by developing a local spatial model to investigate spatial determinants of hotel locations in an urban tourism destination, taking Hong Kong as the study context. The spatially diverse relationships between nine factors (i.e., land area, green land, traffic land, residential land, commercial land, institutional land, metro station density, attraction density, population density, and average income) and the number of hotels in Hong Kong are quantified by geographically weighted Poisson regression. Results indicate that (1) factors influencing hotel location choice vary across regions; (2) traffic factors do not always affect hotel location choice in urban destinations; and (3) the effects of independent variables in peripheral regions are strong and decrease gradually in the urban center, revealing a ‘poached egg’ pattern, where hotel clustering is associated with agglomeration effects.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
