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

The authors 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. The authors' approach differs from existing models in that the authors describe on-board passenger dynamics and pedestrian dynamics at stations in a joint framework. The authors 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. The authors model how crowding influences their walking speeds, and how it affects travel utility both at stations and on-board. To illustrate the framework, the authors present a real case study of a major Dutch rail corridor, for which they collect a rich set of passenger, pedestrian and train operation data. The authors 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.


  • English

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  • Accession Number: 01733855
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Mar 20 2020 10:11AM