Unravelling Urban Pedestrian Trips: Developing a new pedestrian route choice model estimated from revealed preference GPS data:

by RE Hintaran

Institution: Delft University of Technology
Year: 2016
Keywords: Pedestrian Route Choice Behaviour; Route Choice Modelling; Discrete Choice Modelling; Path-Size Logit Model; GPS data; Revealed Preference
Posted: 02/05/2017
Record ID: 2129091
Full text PDF: http://resolver.tudelft.nl/uuid:c17545c9-259a-4c36-a9dc-4d504decbc70


The purpose of this thesis is to estimate a pedestrian route choice model from revealed preference GPS data. Aim of this model is to understand how pedestrians choose their routes within an urban area and to find out which quantitative environmental street factors influence their route choice behaviour. The city of Zürich was taken as a case study for a revealed preference experiment and the GPS data was collected by our colleagues of ETH Zürich as part of a bigger research program. The thesis goes through the following phases of route choice modelling: GPS data processing, Map-Matching of observed routes, Choice Set Generation of non-chosen routes, calculation of route attributes and overlap, and estimation of various route choice models. Advisors/Committee Members: Hoogendoorn, S.P., Daamen, W., Annema, J.A..