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Designing a large-scale public transport network using agent-based microsimulation

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  • Manser, Patrick
  • Becker, Henrik
  • Hörl, Sebastian
  • Axhausen, Kay W.

Abstract

An agent-based simulation framework is extended to design efficient large-scale public transport networks. It goes beyond existing approaches by incorporating a dynamic demand response towards both changes in the network and exogenous factors. The framework is based on an agent-based (MATSim) simulation and tested for the city of Zurich. In contrast to most existing public transport network optimization approaches, this framework is part of a city-level, multi-modal transport simulation tool. Compared to the existing public transport system, it proposes a sparser network with smaller vehicles and substantially higher frequencies. By doing so, the approach predicts a higher transit ridership at a lower level of subsidies. Moreover, it reliably identifies corridors for potential capacity upgrades. The method may help transport planners to assess their existing public transport networks and to plan public transport infrastructure for the era of automated vehicles.

Suggested Citation

  • Manser, Patrick & Becker, Henrik & Hörl, Sebastian & Axhausen, Kay W., 2020. "Designing a large-scale public transport network using agent-based microsimulation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 1-15.
    • Handle: RePEc:eee:transa:v:137:y:2020:i:c:p:1-15
    DOI: 10.1016/j.tra.2020.04.011
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    References listed on IDEAS

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    Cited by:

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    2. Zhang, Yun & Xue, Weichu & Wei, Wei & Nazif, Habibeh, 2022. "A public transport network design using a hidden Markov model and an optimization algorithm," Research in Transportation Economics, Elsevier, vol. 92(C).
    3. Durán-Micco, Javier & Vansteenwegen, Pieter, 2022. "Transit network design considering link capacities," Transport Policy, Elsevier, vol. 127(C), pages 148-157.
    4. Jihane El Ouadi & Hanae Errousso & Nicolas Malhene & Siham Benhadou, 2022. "On understanding the impacts of shared public transportation on urban traffic and road safety using an agent-based simulation with heterogeneous fleets: a case study of Casablanca city," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 3893-3932, December.
    5. Kuo, Yong-Hong & Leung, Janny M.Y. & Yan, Yimo, 2023. "Public transport for smart cities: Recent innovations and future challenges," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1001-1026.

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