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Deep-Learning vs Regression: Prediction of Tourism Flow with Limited Data
[article]
2022
arXiv
pre-print
Modern tourism in the 21st century is facing numerous challenges. One of these challenges is the rapidly growing number of tourists in space limited regions such as historical city centers, museums or geographical bottlenecks like narrow valleys. In this context, a proper and accurate prediction of tourism volume and tourism flow within a certain area is important and critical for visitor management tasks such as visitor flow control and prevention of overcrowding. Static flow control methods
arXiv:2206.13274v1
fatcat:pa267hhglzaeji2r3bpxq2p42q