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

Shuaian Wang, Wei Zhang and Xiaobo Qu

Transportation Research Part B: Methodological, 2018, vol. 118, issue C, 318-335

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.

Keywords: Trial-and-error; Boarding/alighting passenger; Train station; Train fare; Unknown demand (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (10)

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DOI: 10.1016/j.trb.2018.11.003

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