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Considering emissions in the transit network design and frequency setting problem with a heterogeneous fleet

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  • Duran-Micco, Javier
  • Vermeir, Evert
  • Vansteenwegen, Pieter

Abstract

Urban transportation contributes significantly to CO2 emissions. Public transport systems are a good strategy to reduce these, but the emissions generated by public transport vehicles should not be neglected during the design of the service. The Transit Network Design and Frequency Setting Problem (TNDFSP) has usually been addressed considering only the passengers’ and the operator's point of view. However, we show it is worthwhile to consider also the emissions already during this planning phase.

Suggested Citation

  • Duran-Micco, Javier & Vermeir, Evert & Vansteenwegen, Pieter, 2020. "Considering emissions in the transit network design and frequency setting problem with a heterogeneous fleet," European Journal of Operational Research, Elsevier, vol. 282(2), pages 580-592.
    • Handle: RePEc:eee:ejores:v:282:y:2020:i:2:p:580-592
    DOI: 10.1016/j.ejor.2019.09.050
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    References listed on IDEAS

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    Cited by:

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    2. Sadrani, Mohammad & Tirachini, Alejandro & Antoniou, Constantinos, 2022. "Vehicle dispatching plan for minimizing passenger waiting time in a corridor with buses of different sizes: Model formulation and solution approaches," European Journal of Operational Research, Elsevier, vol. 299(1), pages 263-282.
    3. Jiawei Gui & Qunqi Wu, 2020. "Multiple Utility Analyses for Sustainable Public Transport Planning and Management: Evidence from GPS-Equipped Taxi Data in Haikou," Sustainability, MDPI, vol. 12(19), pages 1-46, September.
    4. Durán-Micco, Javier & Vansteenwegen, Pieter, 2022. "Transit network design considering link capacities," Transport Policy, Elsevier, vol. 127(C), pages 148-157.
    5. Javier Durán-Micco & Pieter Vansteenwegen, 2022. "A survey on the transit network design and frequency setting problem," Public Transport, Springer, vol. 14(1), pages 155-190, March.
    6. Sunhyung Yoo & Jinwoo Brian Lee & Hoon Han, 2023. "A Reinforcement Learning approach for bus network design and frequency setting optimisation," Public Transport, Springer, vol. 15(2), pages 503-534, June.

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