Forecasting campground demand in US national parks
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DOI: 10.1016/j.annals.2019.01.013
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Cited by:
- LU, Yi & Zhao, Jianting & Wu, Xueying & Lo, Siu Ming, 2020. "Escaping to nature in pandemic: a natural experiment of COVID-19 in Asian cities," SocArXiv rq8sn, Center for Open Science.
- Leiv Opstad & Randi Hammervold & Johannes Idsø, 2021. "The Influence of Income and Currency Changes on Tourist Inflow to Norwegian Campsites: The Case of Swedish and German Visitors," Economies, MDPI, vol. 9(3), pages 1-13, July.
- Craig, Christopher A., 2021. "Camping, glamping, and coronavirus in the United States," Annals of Tourism Research, Elsevier, vol. 89(C).
- Buda Baji'c & Sr{dj}an Mili'cevi'c & Aleksandar Anti'c & Slobodan Markovi'c & Nemanja Tomi'c, 2024. "Neural Network Modeling for Forecasting Tourism Demand in Stopi\'{c}a Cave: A Serbian Cave Tourism Study," Papers 2404.04974, arXiv.org.
- Siyao Ma & Christopher Craig & Daniel Scott & Song Feng, 2021. "Global Climate Resources for Camping and Nature-Based Tourism," Tourism and Hospitality, MDPI, vol. 2(4), pages 1-15, December.
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Keywords
National park; Campground; Camping; Demand forecasting; k-nearest neighbors; Neural network autoregression; Machine learning;All these keywords.
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