Having access to realistic and empirically grounded passenger valuations of public transport trip components facilitate the undertaking of necessary trade-offs during planning of transport networks. Discrete choice estimation of path choice preferences is a practical way to obtain such preferences. This paper proposes a new take on the empirical foundation of path choice estimation based on revealed choices by introducing trip data for full activity-based ‘door-to-door’ public transport trips collected from a dedicated survey application for smartphones. Choice probabilities were modelled based on an explicitly generated choice set, where the public transport trip parts were generated using a branch-and-bound approach. Results in terms of estimated preferences are comparable to those based on conventional surveying methods and suggest significant premiums for paths involving public transport stops with an elevated level of passenger service as well as differences in preferences across population groups.
Public transport path choice estimation based on trip data from dedicated smartphone app survey
Transportmetrica A: Transport Science ; 18 , 3 ; 1813-1846
02.12.2022
34 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
Public transport trip matrix estimation
British Library Conference Proceedings | 1993
|DOAJ | 2022
|Public Transport Use on Trip Chains: Exploring Various Mode Choice Determinants
DOAJ | 2023
|Smartphone‐based crowdsourcing for position estimation of public transport vehicles
Wiley | 2017
|