Tourism Demand Forecasting Considering Environmental Factors: A Case Study for Chengdu Research Base of Giant Panda Breeding

Tourism Demand Forecasting Considering Environmental Factors: A Case Study for Chengdu Research Base of Giant Panda Breeding

Effectively prediction of the tourism demand is of great significance to rationally allocate resources, improve service quality, and maintain the sustainable development of scenic spots. Since tourism demand is affected by the factors of climate, holidays, and weekdays, it is a challenge to design a...

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Bibliographic Details
Main Authors: Jianhong He, Dong Liu, Yulei Guo, Daohua Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-05-01
Series:Frontiers in Ecology and Evolution
Subjects:
tourism demand forecasting
ensemble learning
RNN
time series
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fevo.2022.885171/full

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