The impact of public health emergencies on hotel demand - Estimation from a new foresight perspective on the COVID-19
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DOI: 10.1016/j.annals.2022.103402
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Cited by:
- Yu, Ling & Zhao, Pengjun & Tang, Junqing & Pang, Liang, 2023. "Changes in tourist mobility after COVID-19 outbreaks," Annals of Tourism Research, Elsevier, vol. 98(C).
- Corbet, Shaen & Hou, Yang & Hu, Yang & Oxley, Les, 2022. "Did COVID-19 tourism sector supports alleviate investor fear?," Annals of Tourism Research, Elsevier, vol. 95(C).
- Yamaka, Woraphon & Zhang, Xuefeng & Maneejuk, Paravee & Ramos, Vicente, 2023. "Asymmetric effects of third-country exchange rate risk: A Markov switching approach," Annals of Tourism Research, Elsevier, vol. 103(C).
- DeMaagd, Nathan & Fuleky, Peter & Burnett, Kimberly & Wada, Christopher, 2022. "Tourism water use during the COVID-19 shutdown," Annals of Tourism Research, Elsevier, vol. 97(C).
- Ping Sun & Xiaoming Zhou & Cui Shao & Wenli Wang & Jinkun Sun, 2022. "The Impacts of Environmental Dynamism on Chinese Tour Guides’ Sustainable Performance: Factors Related to Vitality, Positive Stress Mindset and Supportive Policy," IJERPH, MDPI, vol. 19(15), pages 1-15, July.
- Zhang, Ziqiong & Wang, Bowen & Law, Rob & Han, Yu, 2024. "Public health emergencies and travelers' review efforts," Annals of Tourism Research, Elsevier, vol. 106(C).
- Xu, Shilin & Liu, Yang & Jin, Chun, 2023. "Forecasting daily tourism demand with multiple factors," Annals of Tourism Research, Elsevier, vol. 103(C).
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Keywords
Prediction-based management; Tourism demand forecasting; Long short-term memory (LSTM); Support vector machine (SVM); Complete ensemble empirical mode decomposition (CEEMD);All these keywords.
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