eCommons

 

A Comparison of Forecasting Methods for Hotel Revenue Management

dc.contributor.authorWeatherford, Larry R.
dc.contributor.authorKimes, Sheryl E.
dc.date.accessioned2020-09-12T21:08:44Z
dc.date.available2020-09-12T21:08:44Z
dc.date.issued2003-09-01
dc.description.abstractThe arrivals forecast is one of the key inputs for a successful hotel revenue management system, but no research on the best forecasting method has been conducted. In this research, we used data from Choice Hotels and Marriott Hotels to test a variety of forecasting methods and to determine the most accurate method. Preliminary results using the Choice Hotel data show that pickup methods and regression produced the lowest error, while the booking curve and combination forecasts produced fairly inaccurate results. The more in-depth study using the Marriott Hotel data showed that exponential smoothing, pickup, and moving average models were the most robust.
dc.description.legacydownloadsKimes30_Comparison_of_Forecasting.pdf: 18713 downloads, before Aug. 1, 2020.
dc.identifier.other7822587
dc.identifier.urihttps://hdl.handle.net/1813/72130
dc.language.isoen_US
dc.relation.doihttps://doi.org/10.1016/S0169-2070(02)00011-0
dc.rightsRequired Publisher Statement: © Elsevier. Final version published as: Weatherford, L. R., & Kimes, S. E. (2003). A comparison of forecasting methods for hotel revenue management. International Journal of Forecasting, 19(3), 401-415. doi:10.1016/S0169-2070(02)00011-0.
dc.rightsThis version of the work is released under at Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. Reprinted with permission. All rights reserved.
dc.subjectforecasting competitions
dc.subjectforecasting practice
dc.subjectcomparative methods
dc.subjecttime series
dc.subjectunivariate: exponential smoothing
dc.subjectholt-winters
dc.subjectregression
dc.titleA Comparison of Forecasting Methods for Hotel Revenue Management
dc.typearticle
local.authorAffiliationWeatherford, Larry R.: University of Wyoming
local.authorAffiliationKimes, Sheryl E.: sek6@cornell.edu Cornell University School of Hotel Administration

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Kimes30_Comparison_of_Forecasting.pdf
Size:
673.11 KB
Format:
Adobe Portable Document Format