A review of demand forecasting models and methodological developments within tourism and passenger transportation industry

被引:36
|
作者
Ghalehkhondabi, Iman [1 ]
Ardjmand, Ehsan [2 ]
Young, William A. [3 ]
Weckman, Gary R. [3 ]
机构
[1] Our Lady Lake Univ, Dept Business, San Antonio, TX 78207 USA
[2] Frostburg State Univ, Frostburg, MD 21532 USA
[3] Ohio Univ, Athens, OH 45701 USA
关键词
Demand forecasting; Tourism demand; Travel demand; Forecasting methods; Passenger transportation demand; TRAVEL DEMAND; TIME-SERIES; GENETIC ALGORITHMS; REGRESSION-MODEL; NEURAL-NETWORK; SYSTEM; GROWTH;
D O I
10.1108/JTF-10-2018-0061
中图分类号
F [经济];
学科分类号
02 ;
摘要
Purpose The purpose of this paper is to review the current literature in the field of tourism demand forecasting. Design/methodology/approach Published papers in the high quality journals are studied and categorized based their used forecasting method. Findings There is no forecasting method which can develop the best forecasts for all of the problems. Combined forecasting methods are providing better forecasts in comparison to the traditional forecasting methods. Originality/value This paper reviews the available literature from 2007 to 2017. There is not such a review available in the literature.
引用
收藏
页码:75 / 93
页数:19
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