Impact of off-peak fares on train patronage: a case study from DoT Victoria, pre and post COVID-19

Puraditya, Y; Mihaita, A-S; Ou, Y; Mao, T

Impact of off-peak fares on train patronage: a case study from DoT Victoria, pre and post COVID-19

Puraditya, Y Mihaita, A-S Ou, Y Mao, T

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Publisher:: Australasian Transport Research Forum
Publication Type:: Conference Proceeding
Citation:: Australasian Transport Research Forum 2023 Proceedings, 2023, pp. 1-15
Issue Date:: 2023

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Field	Value	Language
dc.contributor.author	Puraditya, Y
dc.contributor.author	Mihaita, A-S
dc.contributor.author	Ou, Y
dc.contributor.author	Mao, T
dc.date	2023-11-29
dc.date.accessioned	2024-06-13T01:36:03Z
dc.date.available	2024-06-13T01:36:03Z
dc.date.issued	2023
dc.identifier.citation	Australasian Transport Research Forum 2023 Proceedings, 2023, pp. 1-15
dc.identifier.isbn	978-0-646-89040-1
dc.identifier.uri	http://hdl.handle.net/10453/179507
dc.description.abstract	The immense growth of public transportation users (patronage or ridership) makes public transportation experience excessive demands, especially during peak hours. All governments worldwide experience extreme demand problems in their public transport systems. Therefore, policies on managing demands on peak hours are made, such as pricing strategy (on/off-peak fares). With a pricing strategy, public transportation could utilize its capacity in a balanced manner. Since Australia's population is growing to 27.55 million in 2027, transportation users are also increasing with the growing population. This paper presents a detailed analysis of the impact of fare or policy pre/during the Covid-19 pandemic as a case study from DoT Victoria, Australia. In the first part of the paper, we start by analyzing the train network, choosing the most popular train line networks, and undergoing an analysis of the patronage impact of the off-peak fare during regular traffic periods throughout the COVID-19 pandemic. In the second part of the paper, we deploy a machine learning approach for predicting patronage numbers with and without major COVID-disruption and discuss the findings and future recommendations.
dc.language	en
dc.publisher	Australasian Transport Research Forum
dc.relation.ispartof	Australasian Transport Research Forum 2023 Proceedings
dc.relation.ispartof	Australasian Transport Research Forum
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Impact of off-peak fares on train patronage: a case study from DoT Victoria, pre and post COVID-19
dc.type	Conference Proceeding
utslib.location.activity	Perth, Australia
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2024-06-13T01:36:02Z
pubs.finish-date	2023-12-01
pubs.place-of-publication	Australia
pubs.publication-status	Published
pubs.start-date	2023-11-29
dc.location	Australia

Abstract:

The immense growth of public transportation users (patronage or ridership) makes public transportation experience excessive demands, especially during peak hours. All governments worldwide experience extreme demand problems in their public transport systems. Therefore, policies on managing demands on peak hours are made, such as pricing strategy (on/off-peak fares). With a pricing strategy, public transportation could utilize its capacity in a balanced manner. Since Australia's population is growing to 27.55 million in 2027, transportation users are also increasing with the growing population. This paper presents a detailed analysis of the impact of fare or policy pre/during the Covid-19 pandemic as a case study from DoT Victoria, Australia. In the first part of the paper, we start by analyzing the train network, choosing the most popular train line networks, and undergoing an analysis of the patronage impact of the off-peak fare during regular traffic periods throughout the COVID-19 pandemic. In the second part of the paper, we deploy a machine learning approach for predicting patronage numbers with and without major COVID-disruption and discuss the findings and future recommendations.

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http://hdl.handle.net/10453/179507