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Optimization of an Improved Intermodal Transit Model Equipped with Feeder Bus and Railway Systems Using Metaheuristics Approaches

Author

Listed:
  • Mohammad Hadi Almasi

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

  • Ali Sadollah

    (Strategic Center for Energy and Sustainable Development, Semnan branch, Islamic Azad University, Semnan, Iran)

  • Seungmo Kang

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

  • Mohamed Rehan Karim

    (Center for transportation research (CTR), Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia)

Abstract

One of the serious concerns in network design is creating an efficient and appropriate network capable of efficiently migrating the passenger’s mode of transportation from private to public. The main goal of this study is to present an improved model for combining the feeder bus network design system and the railway transit system while minimizing total cost. In this study, the imperialist competitive algorithm (ICA) and the water cycle algorithm (WCA) were employed to optimize feeder bus and railway services. The case study and input data were based on a real transit network in Petaling Jaya, Kuala Lumpur, Malaysia. Numerical results for the proposed model, including the optimal solution, statistical optimization results and the convergence rate, as well as comparisons are discussed in detail.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:6:p:537-:d:71509
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    References listed on IDEAS

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    1. S. C. Wirasinghe & L. Kattan & M. M. Rahman & J. Hubbell & R. Thilakaratne & S. Anowar, 2013. "Bus rapid transit - a review," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 17(1), pages 1-31, March.
    2. Shoaib M. Chowdhury & Steven I-Jy Chien, 2002. "Intermodal Transit System Coordination," Transportation Planning and Technology, Taylor & Francis Journals, vol. 25(4), pages 257-287, January.
    3. Steven I-JY Chien, 2005. "Optimization Of Headway, Vehicle Size and Route Choice for Minimum Cost Feeder Service," Transportation Planning and Technology, Taylor & Francis Journals, vol. 28(5), pages 359-380, August.
    4. 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.
    5. Shrivastava, Prabhat & O'Mahony, Margaret, 2006. "A model for development of optimized feeder routes and coordinated schedules--A genetic algorithms approach," Transport Policy, Elsevier, vol. 13(5), pages 413-425, September.
    6. 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.
    7. Ali Gholami & Afshin Shariat Mohaymany, 2011. "Economic conditions for minibus usage in a multimodal feeder network," Transportation Planning and Technology, Taylor & Francis Journals, vol. 34(8), pages 839-856, July.
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    Cited by:

    1. Michał Baran & Duszan Józef Augustyn, 2021. "The Evaluation of Transport Exclusion in the Peripheral Cross-Border Areas of Central Europe in the Context of Applicability of Information-Based Carpooling," Sustainability, MDPI, vol. 13(6), pages 1-21, March.
    2. 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.
    3. Edvard Tijan & Adrijana Agatić & Marija Jović & Saša Aksentijević, 2019. "Maritime National Single Window—A Prerequisite for Sustainable Seaport Business," Sustainability, MDPI, vol. 11(17), pages 1-21, August.
    4. Dražen Žgaljić & Edvard Tijan & Alen Jugović & Tanja Poletan Jugović, 2019. "Implementation of Sustainable Motorways of the Sea Services Multi-Criteria Analysis of a Croatian Port System," Sustainability, MDPI, vol. 11(23), pages 1-21, December.
    5. Wei Wu & Wanjing Ma & Kejun Long & Heping Zhou & Yi Zhang, 2016. "Designing Sustainable Public Transportation: Integrated Optimization of Bus Speed and Holding Time in a Connected Vehicle Environment," Sustainability, MDPI, vol. 8(11), pages 1-15, November.

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