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.
PAPER PREPRINT:
http://www.simonamihaita.com/papers/2023_ATRF_Yohaness_Puraditya_Impact_of_offpeak_fares_DOTVic_FINAL_clean.pdf
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