Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence: A combined deep learning model

To forecast the tourism demand across a set of tourist attractions with spatial dependence, a new model is proposed, which has three stages: tourist attraction selection, base predictor generation, and base predictor combination. In stage 1, a method for selecting associated attractions based on mul...

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Veröffentlicht in:	Tourism economics : the business and finance of tourism and recreation 2024-03, Vol.30 (2), p.361-388
Hauptverfasser:	Bi, Jian-Wu, Han, Tian-Yu, Yao, Yanbo
Format:	Artikel
Sprache:	eng
Schlagworte:	Autoregressive models Deep learning Forecasting Learning Tourism Tourist attractions Tourists
Online-Zugang:	Volltext
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