Please use this identifier to cite or link to this item:
Title: Station choice for Australian commuter rail lines : equilibrium and optimal fare design
Authors: Wang, S 
Qu, X
Keywords: Park-and-ride
Seat availability
User equilibrium
Issue Date: 2017
Publisher: Elsevier
Source: European journal of operational research, 2017, v. 258, no. 1, p. 144-154 How to cite?
Journal: European journal of operational research 
Abstract: We examine how park-and-ride commuters living along a rail line compete for seats when they travel to their workplace in Australian metropolitan areas. First, we prove that at user equilibrium in which each commuter minimizes her expected travel cost, there exists one station on the rail line at which some commuters could find a seat and the others have to stand; all of the commuters boarding at its upstream stations have seats and all of the commuters boarding at its downstream stations must stand in the train. We derive a solution algorithm for obtaining a user equilibrium, which involves solving an equation with only one variable. We demonstrate that more than one user equilibrium may exist. Second, we examine the system optimal station choice that assumes all of the commuters cooperate and minimizes their total travel cost. An analytical solution approach is proposed based on the structure of the problem. Third, we investigate the optimal train fare design that leads to the system optimal station choice. We prove that the optimal train fare satisfies: there exists a particular train station that has some seats and the train is full after this station. All of its upstream stations have the same fare, which is higher than or equal to the fare of this particular station; and all of its downstream stations have the same fare, which is lower than the fare of this particular station.
ISSN: 0377-2217
EISSN: 1872-6860
DOI: 10.1016/j.ejor.2016.08.040
Appears in Collections:Journal/Magazine Article

View full-text via PolyU eLinks SFX Query
Show full item record


Last Week
Last month
Citations as of Oct 6, 2018


Last Week
Last month
Citations as of Oct 19, 2018

Page view(s)

Last Week
Last month
Citations as of Oct 15, 2018

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.