INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT
Hotel location evaluation: A combination of machine learning tools and web GIS
- 2015
- INTERNATIONAL JOURNAL OF HOSPITALITY MANAGEMENT
- 10.1016/j.ijhm.2015.02.008
Yang, Yang; Tang, Jingyin; Luo, Hao; Law, Rob
Abstract
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.
Keywords
Web GIS; Hotel location; Spatial decision making; Machine learning
Research topic
AI and Big Data, Tourist Flows and Location
Research method
Econometrics, Spatial Modeling
Geographic area
China
Extra Information
The updated tool can be found in Hotel Location Selection and Analysis Tool (HoLSAT)
