中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects

文献类型:期刊论文

作者Liu, Yunhao2,3; Feng, Gengzhong3; Chin, Kwai-Sang2; Sun, Shaolong3; Wang, Shouyang1
刊名CURRENT ISSUES IN TOURISM
出版日期2022-04-16
页码20
ISSN号1368-3500
关键词Tourism demand forecasting daily tourism demand holiday effects seasonal patterns FB Prophet
DOI10.1080/13683500.2022.2060067
英文摘要Daily tourism demand forecasting can provide important implications for the tourism industry. However, there exist limitations in applying traditional methods to forecast daily tourism demand because of the complex seasonal patterns and holiday effects. In this study, we introduce FB Prophet and apply it to the forecasting of daily tourism demand in the Jiuzhai Valley National Park and Macao from Mainland China. The decomposition result of FB Prophet shows its ability to handle the influence of seasonal patterns and holiday effects. The forecasting results show that considering seasonal patterns, holiday effects, and other predictors can significantly improve the forecasting performance, and FB Prophet outperforms other methods.
资助项目National Natural Science Foundation of China[72101197] ; National Natural Science Foundation of China[71988101] ; Fundamental Research Funds for the Central Universities[SK2021007] ; Major Program of National Fund of Philosophy and Social Science of China[20ZD053]
WOS研究方向Social Sciences - Other Topics
语种英语
出版者ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
WOS记录号WOS:000782688400001
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/60298]  
专题中国科学院数学与系统科学研究院
通讯作者Sun, Shaolong
作者单位1.Chinese Acad Sci, Acad Math & Syst Sci, Beijing, Peoples R China
2.City Univ Hong Kong, Dept Adv Design & Syst Engn, Kowloon, Hong Kong, Peoples R China
3.Xi An Jiao Tong Univ, Sch Management, Xian, Peoples R China
推荐引用方式
GB/T 7714
Liu, Yunhao,Feng, Gengzhong,Chin, Kwai-Sang,et al. Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects[J]. CURRENT ISSUES IN TOURISM,2022:20.
APA Liu, Yunhao,Feng, Gengzhong,Chin, Kwai-Sang,Sun, Shaolong,&Wang, Shouyang.(2022).Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects.CURRENT ISSUES IN TOURISM,20.
MLA Liu, Yunhao,et al."Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects".CURRENT ISSUES IN TOURISM (2022):20.

入库方式: OAI收割

来源:数学与系统科学研究院

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