Spreading peak demand for urban rail transit through differential fare policy : a review of empirical evidence

Liu, Yulin & Charles, Phil (2013) Spreading peak demand for urban rail transit through differential fare policy : a review of empirical evidence. In Australasian Transport Research Forum 2013 Proceedings, Queensland University of Technology, Brisbane, QLD.

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More evenly spread demand for public transport throughout a day can reduce transit service provider‟s total asset and labour costs. A plausible peak spreading strategy is to increase peak fare and/or to reduce off-peak fare. This paper reviews relevant empirical studies for urban rail systems, as rail transit plays a key role in Australian urban passenger transport and experiences severe peak loading variability. The literature is categorised into four groups:

a) passenger opinions on willingness to change time for travel,

b) valuations of displacement time using stated preference technique,

c) simulations of peak spreading based on trip scheduling models, and:

d) real-world cases of peak spreading using differential fare.

Policy prescription is advised to take into account impacts of traveller‟s time flexibility and joint effects of mode shifting and peak spreading. Although focusing on urban rail, arguments in this paper are relevant to public transport in general with values to researchers and practitioners.

Impact and interest:

1 citations in Scopus
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ID Code: 65216
Item Type: Conference Paper
Refereed: Yes
Keywords: public transport, urban rail transit, Peak demand spreading, fare policy
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Australian and New Zealand Standard Research Classification > ECONOMICS (140000) > APPLIED ECONOMICS (140200) > Transport Economics (140217)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 [please consult the author]
Deposited On: 09 Dec 2013 22:31
Last Modified: 21 Jun 2017 14:48

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