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Evaluation of the Impacts of On-Demand Bus Services Using Traffic Simulation

Author

Listed:
  • Sohani Liyanage

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

  • Hussein Dia

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

  • Gordon Duncan

    (Azalient, Edinburgh EH2 4AN, UK)

  • Rusul Abduljabbar

    (Department of Civil and Construction Engineering, Swinburne University of Technology, Melbourne, VIC 3122, Australia)

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.

Suggested Citation

  • Sohani Liyanage & Hussein Dia & Gordon Duncan & Rusul Abduljabbar, 2024. "Evaluation of the Impacts of On-Demand Bus Services Using Traffic Simulation," Sustainability, MDPI, vol. 16(19), pages 1-37, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:19:p:8477-:d:1488758
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    References listed on IDEAS

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    1. Chandra, Shailesh & Quadrifoglio, Luca, 2013. "A model for estimating the optimal cycle length of demand responsive feeder transit services," Transportation Research Part B: Methodological, Elsevier, vol. 51(C), pages 1-16.
    2. Quadrifoglio, Luca & Li, Xiugang, 2009. "A methodology to derive the critical demand density for designing and operating feeder transit services," Transportation Research Part B: Methodological, Elsevier, vol. 43(10), pages 922-935, December.
    3. Wardman, Mark, 2004. "Public transport values of time," Transport Policy, Elsevier, vol. 11(4), pages 363-377, October.
    4. Diana, Marco & Dessouky, Maged M., 2004. "A new regret insertion heuristic for solving large-scale dial-a-ride problems with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 38(6), pages 539-557, July.
    5. Inturri, Giuseppe & Giuffrida, Nadia & Ignaccolo, Matteo & Le Pira, Michela & Pluchino, Alessandro & Rapisarda, Andrea & D'Angelo, Riccardo, 2021. "Taxi vs. demand responsive shared transport systems: An agent-based simulation approach," Transport Policy, Elsevier, vol. 103(C), pages 116-126.
    6. Avishai (Avi) Ceder & Stephan Hassold & Christopher Dunlop & Iris Chen, 2013. "Improving urban public transport service using new timetabling strategies with different vehicle sizes," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 17(2), pages 239-258, July.
    7. Shaheen, Susan & Cohen, Adam, 2020. "Chapter 3 - Mobility on demand (MOD) and mobility as a service (MaaS): early understanding of shared mobility impacts and public transit partnerships," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5030f0cd, Institute of Transportation Studies, UC Berkeley.
    8. Soi Lam & Trinh Toan, 2006. "Land Transport Policy and Public Transport in Singapore," Transportation, Springer, vol. 33(2), pages 171-188, March.
    9. Diana, Marco & Dessouky, Maged M. & Xia, Nan, 2006. "A model for the fleet sizing of demand responsive transportation services with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 40(8), pages 651-666, September.
    10. Dan Wan & Camille Kamga & Wei Hao & Aaron Sugiura & Eric B. Beaton, 2016. "Customer satisfaction with bus rapid transit: a study of New York City select bus service applying structural equation modeling," Public Transport, Springer, vol. 8(3), pages 497-520, December.
    11. Asensio, Javier & Matas, Anna, 2008. "Commuters' valuation of travel time variability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1074-1085, November.
    12. Agatz, Niels & Erera, Alan & Savelsbergh, Martin & Wang, Xing, 2012. "Optimization for dynamic ride-sharing: A review," European Journal of Operational Research, Elsevier, vol. 223(2), pages 295-303.
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