Calibrating Route Choice Sets for an Urban Public Transport Network using Smart Card Data

Calibrating Route Choice Sets for an Urban Public Transport Network using Smart Card Data

Shelat, S. (TU Delft Transport and Planning)
Cats, O. (TU Delft Transport and Planning)
van Oort, N. (TU Delft Transport and Planning)
van Lint, J.W.C. (TU Delft Transport and Planning)

2019

Identifying the set of alternatives from which travellers choose their routes is a crucial step in estimation and application of route choice models. These models are necessary for the prediction of network flows that are vital for the planning of public transport networks. However, choice set identification is typically difficult because while selected routes are observed, those considered are not. Approaches proposed in literature are not completely satisfactory, either lacking transferability across networks (observation-driven methods) or requiring strong assumptions regarding traveller behaviour (uncalibrated choice set generation methodologies (CSGM)). Therefore, this study proposes a constrained enumeration CSGM that applies the non-compensatory decision model, elimination-by-Aspects, for choice set formation. Subjective assumptions of traveller preferences are avoided by calibrating the decision model using observed route choice behaviour from smart card data, which is becoming increasingly available in public transport systems around the world. The calibration procedure also returns two key insights regarding choice set formation behaviour: (i) the ranking of different attributes by their importance, and (ii) the acceptable detours for each attribute. To demonstrate the methodology and investigate choice set formation behaviour, the tram and bus networks of The Hague, Netherlands are used as a case study.

choice set generation
public transportation
route choice
smart card
The Netherlands

http://resolver.tudelft.nl/uuid:546481d3-266a-4a4c-ad02-08982c802760

https://doi.org/10.1109/MTITS.2019.8883366

Institute of Electrical and Electronics Engineers (IEEE)

2020-04-28

9781538694848

MT-ITS 2019 - 6th International Conference on Models and Technologies for Intelligent Transportation Systems

6th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2019, 2019-06-05 → 2019-06-07, Krakow, Poland

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Institutional Repository

conference paper

© 2019 S. Shelat, O. Cats, N. van Oort, J.W.C. van Lint