2020
DOI: 10.1016/j.tra.2020.04.018
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Social equity-based timetabling and ticket pricing for high-speed railways

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Cited by 29 publications
(25 citation statements)
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“…Our results offer three main policy implications. First, evidence is added to a chorus of scholarship calling for policymakers to ''look beyond the mean'' when conducting equity analysis (31,40). Agencies should seek to identify and improve poor-performing routes that serve significant numbers of marginalized travelers, regardless of network-wide averages.…”
Section: Discussionmentioning
confidence: 99%
“…Our results offer three main policy implications. First, evidence is added to a chorus of scholarship calling for policymakers to ''look beyond the mean'' when conducting equity analysis (31,40). Agencies should seek to identify and improve poor-performing routes that serve significant numbers of marginalized travelers, regardless of network-wide averages.…”
Section: Discussionmentioning
confidence: 99%
“…Fourth, we assume that the running time of a train in a segment is fixed, but it would be better to let trains vary their running speeds in a segment. Finally, it is interesting to take the passenger flow into account when rescheduling trains, which can partly refer to our recent study on passenger-oriented train scheduling (Zhan, Wong, and Lo 2020) and rescheduling (Zhan et al 2021).…”
Section: Conclusion and Further Researchmentioning
confidence: 99%
“…Constraint (25) makes sure that the maintenance start time of each segment track is within a given time range, and constraint (26) requires that both tracks in the same segment are maintained simultaneously. Constraints (27,28) calculate the absolute difference between the maintenance start times of consecutive segments.…”
Section: Station Capacity Constraintsmentioning
confidence: 99%
“…Thus, we conclude that our model can consider different passenger demands arising from different time periods, and obtain an acceptable train timetable and maintenance plan to provide managerial insights to the railway operators. For more passenger-oriented timetabling, we refer to Zhan et al ( 28 ).…”
Section: Case Studymentioning
confidence: 99%