Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects-Reference-Cited by-同舟云学术

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Daily tourism demand forecasting: the impact of complex seasonal patterns and holiday effects

Published:2022-04-14 Issue:10 Volume:26 Page:1573-1592
ISSN:1368-3500
Container-title:Current Issues in Tourism
language:en
Short-container-title:Current Issues in Tourism

Author:

Liu Yunhao¹²,Feng Gengzhong¹,Chin Kwai-Sang²,Sun Shaolong¹,Wang Shouyang³^ORCID

Affiliation:

1. School of Management, Xi’an Jiaotong University, Xi’an, People’s Republic of China

2. Department of Advanced Design and Systems Engineering, City University of Hong Kong, Kowloon, Hong Kong

3. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, People’s Republic of China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

National Social Science Foundation of China

Publisher

Informa UK Limited

Subject

Tourism, Leisure and Hospitality Management,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/13683500.2022.2060067

Reference44 articles.

1. A novel approach to model selection in tourism demand modeling

2. Modeling and Forecasting Regional Tourism Demand Using the Bayesian Global Vector Autoregressive (BGVAR) Model

3. Daily tourism volume forecasting for tourist attractions

4. Forecasting tourism demand based on empirical mode decomposition and neural network

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