Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations

Shuaian Wang, Wei Zhang, Xiaobo Qu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)

Abstract

This study deals with boarding/alighting congestion of congested commuter train stations at central business district (CBD), in which the additional fares are determined to shift an appropriate number of passengers to board/alight at the neighboring uncongested stations on the railway line. A bi-objective model is investigated to minimize both fare increases of the congested stations, while alleviating their boarding/alighting congestion to a certain level simultaneously. The existence of the unique Pareto-optimal solution is proven mathematically in the absence of explicit demand functions. A trial-and-error fare design scheme is proposed to identify the Pareto-optimal solution. An illustrative study demonstrates the effectiveness of the trial-and-error scheme.

Original languageEnglish
Pages (from-to)318-335
Number of pages18
JournalTransportation Research Part B: Methodological
Volume118
DOIs
Publication statusPublished - Dec 2018

Keywords

  • Boarding/alighting passenger
  • Train fare
  • Train station
  • Trial-and-error
  • Unknown demand

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation

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