Determinants of passengers' metro car choice revealed through automated data sources

Determinants of passengers' metro car choice revealed through automated data sources: A Stockholm metro case study

Peftitsi, Soumela (KTH Royal Institute of Technology)
Jenelius, Erik (KTH Royal Institute of Technology)
Cats, O. (TU Delft Transport and Planning)

2018

The paper proposes a methodology based on multiple automated
data sources for evaluating the eects of station layout, arriving traveller flows,
and platform and on-board crowding on the distribution of boarding passengers
in individual cars of a metro train. The methodology is applied to a case
study for a sequence of stations in the Stockholm metro network. While train
car loads are generally skewed towards the leading cars, results indicate that
a crowded arriving train is associated with increasing boarding shares in the
middle and rear cars. Moreover, higher platform crowding is found to have a
positive signicant eect on the boarding share in the middle car. We nd that
the boarding car distribution is also aected by the locations of entrances and
the distribution of entering traveller ows. The insights may be used by transit
planners and operators to increase the understanding of how passengers behave
under crowding conditions and identify the factors that aect travelers'
metro car choice.

Public transport
Crowding
Load data
Boarding decision
Passenger distribution
Metro

http://resolver.tudelft.nl/uuid:93a4be34-acbd-4bae-b2cc-0a7621d92adf

Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018: 23-25 July, Brisbane, UK

Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018, 2018-07-23 → 2018-07-25, Brisbane Convention and Exhibition Centre, Brisbane, Australia

Institutional Repository

conference paper

© 2018 Soumela Peftitsi, Erik Jenelius, O. Cats