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Optimal Coordination Strategy for an Integrated Multimodal Transit Feeder Network Design Considering Multiple Objectives

Author

Listed:
  • Mohammad Hadi Almasi

    (Department of Civil Engineering, Gorgan Branch, Islamic Azad University, Gorgan 49147-39975, Iran)

  • Ali Sadollah

    (Young Researchers and Elites club, Science and Research Branch, Islamic Azad University, Tehran 1193653471, Iran)

  • Yoonseok Oh

    (School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 136-713, Korea)

  • Dong-Kyu Kim

    (Department of Civil and Environmental Engineering, Seoul National University, Seoul 151-744, Korea)

  • Seungmo Kang

    (School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 136-713, Korea)

Abstract

Public transportation can have an efficient role ingainingtraveler satisfaction while decreasing operation costs through establishing an integrated public transit system. The main objective of this research is to propose an integrated multimodal transit model to design the best combination of both railway and feeder bus mode transit systems, while minimizing total cost. In this paper, we have proposed a strategy for designing transit networks that provide multimodal services at each stop, and for consecutively assigning optimum demand to the different feeder modes. Optimum transit networks have been achieved using single and multi-objective approaches via metaheuristic optimization algorithms, such as simulated annealing, genetic algorithms, and the Non-dominated Sorting Genetic Algorithm II (NSGA-II). The used input data and study area were based on the real transit network of Petaling Jaya, located in Kuala Lumpur, Malaysia. Numerical results of the presented model, containing the statistical results, the optimum demand ratio, optimal solution, convergence rate, and comparisons among best solutions have been discussed in detail.

Suggested Citation

  • Mohammad Hadi Almasi & Ali Sadollah & Yoonseok Oh & Dong-Kyu Kim & Seungmo Kang, 2018. "Optimal Coordination Strategy for an Integrated Multimodal Transit Feeder Network Design Considering Multiple Objectives," Sustainability, MDPI, vol. 10(3), pages 1-28, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:734-:d:135112
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    References listed on IDEAS

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    1. Lucio Martins, Carlos & Vaz Pato, Margarida, 1998. "Search strategies for the feeder bus network design problem," European Journal of Operational Research, Elsevier, vol. 106(2-3), pages 425-440, April.
    2. Takashi Oguchi & Akira Mitsuyasu & Daisuke Oshima & Takane Imagawa, 2017. "An evaluation study on advanced public transport priority system using traffic simulation," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 21(0), pages 43-53, August.
    3. Mohammad Hadi Almasi & Ali Sadollah & Seungmo Kang & Mohamed Rehan Karim, 2016. "Optimization of an Improved Intermodal Transit Model Equipped with Feeder Bus and Railway Systems Using Metaheuristics Approaches," Sustainability, MDPI, vol. 8(6), pages 1-27, June.
    4. R. S. Thilakaratne & S. C. Wirasinghe, 2016. "Implementation of Bus Rapid Transit (BRT) on an optimal segment of a long regular bus route," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 20(1), pages 15-29, March.
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    Cited by:

    1. Pei, Mingyang & Lin, Peiqun & Du, Jun & Li, Xiaopeng & Chen, Zhiwei, 2021. "Vehicle dispatching in modular transit networks: A mixed-integer nonlinear programming model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    2. Yi Cao & Dandan Jiang & Shan Wang, 2022. "Optimization for Feeder Bus Route Model Design with Station Transfer," Sustainability, MDPI, vol. 14(5), pages 1-15, February.
    3. 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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