Interpretable tourism volume forecasting with multivariate time series under the impact of COVID-19

This study proposes a novel interpretable framework to forecast the daily tourism volume of Jiuzhaigou Valley, Huangshan Mountain, and Siguniang Mountain in China under the impact of COVID-19 by using multivariate time-series data, particularly historical tourism volume data, COVID-19 data, the Baid...

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Detalles Bibliográficos
Autores principales: Wu, Binrong, Wang, Lin, Tao, Rui, Zeng, Yu-Rong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2022
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638251/
https://www.ncbi.nlm.nih.gov/pubmed/36373134
http://dx.doi.org/10.1007/s00521-022-07967-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9638251/
https://www.ncbi.nlm.nih.gov/pubmed/36373134
http://dx.doi.org/10.1007/s00521-022-07967-y

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