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Abstract

This study proposes a hotel demand estimation mechanism that assesses the likelihood of forthcoming occupancy peaks and troughs applicable to different hotel classifications. In anticipating rate fluctuations, the approach is less dependent than many prevailing hotel forecasts on short-term...

Author(s)
Tang MeiFung [Tang, M. F. C. ]; King, B. E. M.; Kulendran, N.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 870-885
Abstract

This special issue highlights new research perspectives and progress in revenue management (RM) practices in the tourist and hospitality industries. It consists of eight papers covering: RM strategies and segmentation; booking and occupancy forecasting and modelling issues; hotel cancelation...

Author(s)
Legohérel, P.; Schwartz, Z.; Heo, C. Y.; Wang, X. L.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 795-933
Abstract

The purpose of this study is to segment hotel customers based on room rates and rate fences. Four distinct customer segments were identified by combining conjoint and cluster analysis methods: refund seekers, 1-week advance booking lovers, price-sensitive consumers, and non-fenced consumers. The...

Author(s)
Guillet, B. D.; Guo YuanYuan; Law, R.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 835-851
Abstract

Although there is considerable interest in the advance bookings model as a forecasting method in the hotel industry, there has been little research analyzing the use of an advance booking curve in forecasting hotel reservations. The mainstream of advance booking models reviewed in the literature...

Author(s)
Tse SzeMing [Tse, S. M. T. ]; Poon, Y. T.
Publisher
Routledge, Philadelphia, USA
Citation
Journal of Travel & Tourism Marketing, 2015, 32, 7, pp 852-869