Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28884
Title: Hotel location evaluation : a combination of machine learning tools and web GIS
Authors: Yang, Y
Tang, J
Luo, H
Law, R 
Keywords: Hotel location
Machine learning
Spatial decision making
Web GIS
Issue Date: 2015
Publisher: Pergamon Press
Source: International journal of hospitality management, 2015, v. 47, p. 14-24 How to cite?
Journal: International journal of hospitality management 
Abstract: The need for a reliable, unbiased, and objective assessment of hotel location has always been important. This study presents a new approach to evaluate potential sites for proposed hotel properties by designing an automated web GIS application: Hotel Location Selection and Analyzing Toolset (HoLSAT). The application uses a set of machine learning algorithms to predict various business success indicators associated with location sites. Using an example of hotel location assessment in Beijing, HoLSAT calculates and visualizes various desirable sites contingent on the specified characteristics of the proposed hotel. The approach shows considerable potential usefulness in the field of hotel location evaluation.
URI: http://hdl.handle.net/10397/28884
ISSN: 0278-4319
EISSN: 1873-4693
DOI: 10.1016/j.ijhm.2015.02.008
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