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

Soumela Peftitsi, Erik Jenelius, Oded Cats

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

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.
Original languageEnglish
Title of host publicationProceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018
Subtitle of host publication23-25 July, Brisbane, UK
Number of pages15
Publication statusPublished - 2018
EventCaspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018 - Brisbane Convention and Exhibition Centre, Brisbane, Australia
Duration: 23 Jul 201825 Jul 2018
Conference number: 14

Conference

ConferenceCaspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018
Abbreviated titleCASPT 2018
CountryAustralia
CityBrisbane
Period23/07/1825/07/18

Keywords

  • Public transport
  • Crowding
  • Load data
  • Boarding decision
  • Passenger distribution
  • Metro

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