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 and 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:858b0720-5ee5-49d1-bef3-c3a031717573/datastream/OBJ/view