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Open AccessArticle
Evaluation of the Impacts of On-Demand Bus Services Using Traffic Simulation
by
Sohani Liyanage
Sohani Liyanage
Dr. Sohani Liyanage is a post-doctoral researcher in Sustainable Transport at Swinburne University a [...]
Dr. Sohani Liyanage is a post-doctoral researcher in Sustainable Transport at Swinburne University of Technology. With over seven years of diverse experience spanning industry, research, and academia, she has established herself as a specialist in Sustainable Transport Research. Sohani holds a PhD in Transportation Engineering from the Swinburne University of Technology, complemented by a Master of Engineering in Transport Engineering and a Bachelor of Science (Hons) in Civil Engineering from the Asian Institute of Technology. Her current work is focused on sustainable transportation and supply chain decarbonisation research. Her work is dedicated to advancing sustainable practices within supply chains, addressing critical environmental challenges, and exploring innovative solutions for an eco-friendly future. Sohani actively contributes her profound Research, Transport Modelling, and Data Science expertise. She has a well-rounded skill set that encompasses data-driven transport modelling, traffic simulation, optimisation techniques, and travel demand forecasting models, leveraging cutting-edge methodologies like Artificial Intelligence (AI) and Deep Learning. Sohani accrued two years of valuable Engineering Consultancy experience, contributing to major infrastructure projects in Victoria, New South Wales, and South Australia. Her practical experience enriches her research work, providing valuable insights into real-world applications.
1,*,
Hussein Dia
Hussein Dia
Prof. Hussein Dia is a Professor of Future Urban Mobility specializing in the convergence of and in [...]
Prof. Hussein Dia is a Professor of Future Urban Mobility specializing in the convergence of technology, infrastructure, and human elements in urban environments at Swinburne University of Technology, Melbourne, Australia. His research focus lies in driving the decarbonization of urban transport, exploring disruptive mobility solutions, and leveraging digital innovations to create opportunities for sustainable transport solutions. He has a demonstrated track record in forging strategic visions and technical expertise in forward-thinking leadership positions, both in industry and academia. He is the strategic leader in urban mobility and one of the Top 2% Most Cited Scientists (Logistics and Transportation in the Stanford University Global Citation Rankings). He was the Chair of the Department of Civil and Construction Engineering, Swinburne University of Technology, the Deputy Director of Smart Cities Research Institute, and the Program Leader of the Future Urban Mobility program, Smart Cities Research Institute. He is also a Fellow of the American Society of Civil Engineers, a Fellow of Engineers Australia, a Fellow of the Institute of Transportation Engineers, and the Senior Editor of IEEE Transactions on ITS.
1,
Gordon Duncan
Gordon Duncan
Gordon
Duncan received the B.Eng. degree in electronic engineering from Strathclyde
University in [...]
Gordon
Duncan received the B.Eng. degree in electronic engineering from Strathclyde
University in 1988 and the M.Sc. degree in high-performance computing from
Edinburgh University in 1992. He is currently an Independent Researcher based
in the U.K. He has more than 25 years of experience in software engineering,
specializing in the simulation of traffic, transport, and pedestrians. He was
the Software Lead and the Technical Director of the Paramics traffic simulation
software with Edinburgh University and then Quadstone Ltd., from 1994 to 2001.
He was the Software Lead and the Managing Director of Azalient Ltd. from 2001
to 2013, when he oversaw the acquisition of their main product, Commuter, by
Autodesk Inc. He has worked on traffic simulation projects worldwide, including
CA, London, Singapore, Tokyo, and Sydney. His current research interest
includes the simulation of autonomous vehicles.
2 and
Rusul Abduljabbar
Rusul Abduljabbar
Dr. Rusul Abduljabbar is a Researcher at the Department of Civil and Construction Engineering, of a [...]
Dr. Rusul Abduljabbar is a Researcher at the Department of Civil and Construction Engineering, Swinburne University of Technology, Hawthorn, VIC, Australia. She received a Bachelor of Engineering degree (Hons.) in civil engineering from the Swinburne University of Technology, Melbourne, Australia, and the University of Baghdad, Iraq, as part of a twining program in 2016. From 2016 to 2018, she worked at the University of Baghdad. In 2018, she received a Ph.D. scholarship from the Swinburne University of Technology. Her research interests are in smart urban mobility, traffic microscopic modeling, and future traffic prediction. In 2018, she received the BMW Group Smart Melbourne Scholarship Award.
1
1
Department of Civil and Construction Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia
2
Azalient, Edinburgh EH2 4AN, UK
*
Author to whom correspondence should be addressed.
Sustainability 2024, 16(19), 8477; https://doi.org/10.3390/su16198477 (registering DOI)
Submission received: 27 August 2024
/
Revised: 20 September 2024
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Accepted: 24 September 2024
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Published: 29 September 2024
Abstract
This paper uses smart card data from Melbourne’s public transport network to model and evaluate the impacts of a flexible on-demand transport system. On-demand transport is an emerging mode of urban passenger transport that relies on meeting passenger demand for travel using dynamic and flexible scheduling using shared vehicles. Initially, a simulation model was developed to replicate existing fixed-schedule bus performance and was then extended to incorporate on-demand transport services within the same network. The simulation results were used to undertake a comparative analysis which included reliability, service quality, operational efficiency, network-wide effectiveness, and environmental impacts. The results showed that on-demand buses reduced average passenger trip time by 30%, increased vehicle occupancy rates from 8% to over 50%, and reduced emissions per passenger by over 70% on an average weekday compared to fixed-schedule buses. This study also offers insights for successful on-demand transport implementation, promoting urban sustainability. It also outlines future research directions, particularly the need for accurate short-term passenger demand prediction to improve service provision and passenger experience.
Share and Cite
MDPI and ACS Style
Liyanage, S.; Dia, H.; Duncan, G.; Abduljabbar, R.
Evaluation of the Impacts of On-Demand Bus Services Using Traffic Simulation. Sustainability 2024, 16, 8477.
https://doi.org/10.3390/su16198477
AMA Style
Liyanage S, Dia H, Duncan G, Abduljabbar R.
Evaluation of the Impacts of On-Demand Bus Services Using Traffic Simulation. Sustainability. 2024; 16(19):8477.
https://doi.org/10.3390/su16198477
Chicago/Turabian Style
Liyanage, Sohani, Hussein Dia, Gordon Duncan, and Rusul Abduljabbar.
2024. "Evaluation of the Impacts of On-Demand Bus Services Using Traffic Simulation" Sustainability 16, no. 19: 8477.
https://doi.org/10.3390/su16198477
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