Print Email Facebook Twitter Forecasting tourist counts with historical counts and external features Title Forecasting tourist counts with historical counts and external features Author Wang, Xinyi (TU Delft Civil Engineering & Geosciences) Contributor Duives, D.C. (mentor) Krishnakumari, P.K. (graduation committee) Degree granting institution Delft University of Technology Programme Civil Engineering Date 2020-09-06 Abstract This research explored two types of models, ARIMA and multiple linear regression, for forecasting tourist counts in 7 locations around Amsterdam red light district, for the prediction horizon of up to 30 minutes. Subject pedestrianforecastingARIMAmultiple linear regression To reference this document use: http://resolver.tudelft.nl/uuid:858b0720-5ee5-49d1-bef3-c3a031717573 Part of collection Student theses Document type student report Rights © 2020 Xinyi Wang Files PDF forecastreport.pdf 5.04 MB Close viewer /islandora/object/uuid%3A858b0720-5ee5-49d1-bef3-c3a031717573/datastream/OBJ/view