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Asia Pacific Journal of Tourism Research Volume 27, 2022 - Issue 5
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Research Articles

Tourism demand forecasting from the perspective of mobility: a brand-new predictive variable generated from intercity population mobility big data

Yong Lia School of Business Administration, Capital University of Economics and Business, Beijing, ChinaView further author information
,
Yunpeng Lia School of Business Administration, Capital University of Economics and Business, Beijing, ChinaCorrespondence[email protected]
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,
Jingjing Lib School of Economics, Capital University of Economics and Business, Beijing, ChinaView further author information
,
Shihan (David) Mac School of Management, Zhejiang University, Hangzhou, Zhejiang, ChinaView further author information
&
Ping Gaod Institute of Geoscience and Resources, Chinese Academy of Sciences, Beijing, ChinaView further author information
Pages 526-546 | Published online: 29 Jun 2022

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Read on this site (2)

Dongchuan Yang, Yanzhao Li, Ju’e Guo, Gang Li & Shaolong Sun. (2023) Regional tourism demand forecasting with spatiotemporal interactions: a multivariate decomposition deep learning model. Asia Pacific Journal of Tourism Research 28:6, pages 625-646.
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Wenjie Han, Yong Li, Yunpeng Li & Tao Huang. (2023) A deep learning model based on multi-source data for daily tourist volume forecasting. Current Issues in Tourism 0:0, pages 1-19.
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Articles from other publishers (2)

Jian-Wu Bi, Tian-Yu Han & Yanbo Yao. (2023) Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model. Tourism Economics, pages 135481662311539.
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Mingke Xie, Yang Chen & Luliang Tang. (2022) Exploring the Impact of Localized COVID-19 Events on Intercity Mobility during the Normalized Prevention and Control Period in China. International Journal of Environmental Research and Public Health 19:21, pages 14421.
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