A passenger-pedestrian model to assess platform and train usage from automated data

Flurin S. Hänseler, Jeroen P.A. van den Heuvel, Oded Cats, Winnie Daamen, Serge P. Hoogendoorn

Research output: Contribution to journalArticleScientificpeer-review

1 Citation (Scopus)
71 Downloads (Pure)

Abstract

We present a transit model that, based on automated fare collection and train tracking data, describes pedestrian movements in train stations and vehicle-specific train ridership distributions. Our approach differs from existing models in that we describe on-board passenger dynamics and pedestrian dynamics at stations in a joint framework. We assume that travelers first decide on the train(s) they will take, and then pursue their journey through the network by successively choosing pedestrian paths, waiting positions on platforms, and specific train cars. Travelers explicitly maximize their travel utility. We model how crowding influences their walking speeds, and how it affects travel utility both at stations and on-board. To illustrate the framework, we present a real case study of a major Dutch rail corridor, for which we collect a rich set of passenger, pedestrian and train operation data. We observe a good agreement of model estimates with empirical observations, and discuss the use of the model for various transit-related problems including level-of-service assessment, crowding estimation, transit optimization, and integrated investment appraisal.

Original languageEnglish
Pages (from-to)948-968
Number of pages21
JournalTransportation Research Part A: Policy and Practice
Volume132
DOIs
Publication statusPublished - 2020

Keywords

  • Crowding
  • Investment appraisal
  • Level-of-service assessment
  • Public transportation

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