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Designing Multimodal Freight Transport Networks: A Heuristic Approach and Applications

Author

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  • Tadashi Yamada

    (Department of Urban Management, Kyoto University, Nishikyo, Kyoto 615-8540, Japan)

  • Bona Frazila Russ

    (Department of Civil Engineering, Bandung Institute of Technology, Bandung 40132, Indonesia)

  • Jun Castro

    (School of Urban and Regional Planning, University of the Philippines, Diliman, 1101 Quezon City, Philippines)

  • Eiichi Taniguchi

    (Department of Urban Management, Kyoto University, Nishikyo, Kyoto 615-8540, Japan)

Abstract

Designing multimodal freight transport networks can facilitate the economic development of regions and countries as well as help to reduce negative environmental impacts. It is therefore crucial that such be undertaken in areas where more priority is given on road-based freight transport systems. This paper proposes a model for strategic transport planning, particularly in freight terminal development and interregional freight transport network design. The model determines a suitable set of actions from a number of possible actions, such as improving the existing infrastructure or establishing new roads, railways, sea links, and freight terminals. Modelling is undertaken within the framework of bilevel programming, where a multimodal multiclass user traffic assignment technique is incorporated within the lower-level problem, whilst the upper-level problem determines the best combination of actions such that the freight-related benefit-cost ratio is maximised. The upper-level problem involves combinatorial optimisation, and a heuristic approach based on genetic local search is applied as a solution technique. Empirical results of the model as applied to an actual large-sized interregional intermodal freight transport network show that genetic local search could provide better performance as compared to other genetic algorithm-based, as well as tabu search-based, heuristics. The model is successfully applied to transport network planning in the Philippines, where the development of a freight transport network is necessary to increase the utilisation of other modes rather than road-based vehicles.

Suggested Citation

  • Tadashi Yamada & Bona Frazila Russ & Jun Castro & Eiichi Taniguchi, 2009. "Designing Multimodal Freight Transport Networks: A Heuristic Approach and Applications," Transportation Science, INFORMS, vol. 43(2), pages 129-143, May.
    • Handle: RePEc:inm:ortrsc:v:43:y:2009:i:2:p:129-143
    DOI: 10.1287/trsc.1080.0250
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    as
    1. Poorzahedy, Hossain & Turnquist, Mark A., 1982. "Approximate algorithms for the discrete network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 16(1), pages 45-55, February.
    2. James F. Campbell, 1996. "Hub Location and the p -Hub Median Problem," Operations Research, INFORMS, vol. 44(6), pages 923-935, December.
    3. D E Boyce, 1984. "Urban Transportation Network-Equilibrium and Design Models: Recent Achievements and Future Prospects," Environment and Planning A, , vol. 16(11), pages 1445-1474, November.
    4. A. Balakrishnan & T. L. Magnanti & R. T. Wong, 1989. "A Dual-Ascent Procedure for Large-Scale Uncapacitated Network Design," Operations Research, INFORMS, vol. 37(5), pages 716-740, October.
    5. Jaszkiewicz, Andrzej & Kominek, Pawel, 2003. "Genetic local search with distance preserving recombination operator for a vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 151(2), pages 352-364, December.
    6. Charles S. Revelle & Gilbert Laporte, 1996. "The Plant Location Problem: New Models and Research Prospects," Operations Research, INFORMS, vol. 44(6), pages 864-874, December.
    7. Mina, Hokey & Jayaraman, Vaidyanathan & Srivastava, Rajesh, 1998. "Combined location-routing problems: A synthesis and future research directions," European Journal of Operational Research, Elsevier, vol. 108(1), pages 1-15, July.
    8. Teodor Gabriel Crainic & Michael Florian & José-Eugenio Léal, 1990. "A Model for the Strategic Planning of National Freight Transportation by Rail," Transportation Science, INFORMS, vol. 24(1), pages 1-24, February.
    9. Stella Dafermos, 1980. "Traffic Equilibrium and Variational Inequalities," Transportation Science, INFORMS, vol. 14(1), pages 42-54, February.
    10. Diaz, Juan A. & Fernandez, Elena, 2001. "A Tabu search heuristic for the generalized assignment problem," European Journal of Operational Research, Elsevier, vol. 132(1), pages 22-38, July.
    11. R. Ravi & Amitabh Sinha, 2006. "Approximation Algorithms for Problems Combining Facility Location and Network Design," Operations Research, INFORMS, vol. 54(1), pages 73-81, February.
    12. Philippe Galinier & Jin-Kao Hao, 1999. "Hybrid Evolutionary Algorithms for Graph Coloring," Journal of Combinatorial Optimization, Springer, vol. 3(4), pages 379-397, December.
    13. Florian, Michael & Spiess, Heinz, 1982. "The convergence of diagonalization algorithms for asymmetric network equilibrium problems," Transportation Research Part B: Methodological, Elsevier, vol. 16(6), pages 477-483, December.
    14. Arroyo, Jose Elias Claudio & Armentano, Vinicius Amaral, 2005. "Genetic local search for multi-objective flowshop scheduling problems," European Journal of Operational Research, Elsevier, vol. 167(3), pages 717-738, December.
    15. Melkote, Sanjay & Daskin, Mark S., 2001. "An integrated model of facility location and transportation network design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 515-538, July.
    16. Jaszkiewicz, Andrzej, 2002. "Genetic local search for multi-objective combinatorial optimization," European Journal of Operational Research, Elsevier, vol. 137(1), pages 50-71, February.
    17. Campbell, James F., 1994. "Integer programming formulations of discrete hub location problems," European Journal of Operational Research, Elsevier, vol. 72(2), pages 387-405, January.
    18. Zhang, Xiaoning & Yang, Hai, 2004. "The optimal cordon-based network congestion pricing problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(6), pages 517-537, July.
    19. T. L. Magnanti & R. T. Wong, 1984. "Network Design and Transportation Planning: Models and Algorithms," Transportation Science, INFORMS, vol. 18(1), pages 1-55, February.
    20. Taniguchi, Eiichi & Noritake, Michihiko & Yamada, Tadashi & Izumitani, Toru, 1999. "Optimal size and location planning of public logistics terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 35(3), pages 207-222, September.
    21. Colin R. Reeves, 1997. "Feature Article---Genetic Algorithms for the Operations Researcher," INFORMS Journal on Computing, INFORMS, vol. 9(3), pages 231-250, August.
    22. Hertz, Alain & Widmer, Marino, 2003. "Guidelines for the use of meta-heuristics in combinatorial optimization," European Journal of Operational Research, Elsevier, vol. 151(2), pages 247-252, December.
    23. Jacques Guélat & Michael Florian & Teodor Gabriel Crainic, 1990. "A Multimode Multiproduct Network Assignment Model for Strategic Planning of Freight Flows," Transportation Science, INFORMS, vol. 24(1), pages 25-39, February.
    24. Mingyuan Chen & Attahiru Sule Alfa, 1991. "A Network Design Algorithm Using a Stochastic Incremental Traffic Assignment Approach," Transportation Science, INFORMS, vol. 25(3), pages 215-224, August.
    25. Gao, Ziyou & Wu, Jianjun & Sun, Huijun, 2005. "Solution algorithm for the bi-level discrete network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 39(6), pages 479-495, July.
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    Cited by:

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    6. Yamada, Tadashi & Imai, Koji & Nakamura, Takamasa & Taniguchi, Eiichi, 2011. "A supply chain-transport supernetwork equilibrium model with the behaviour of freight carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 887-907.
    7. Kishore Bhoopalam, A. & Agatz, N.A.H. & Zuidwijk, R.A., 2017. "Planning of Truck Platoons: a Literature Review and Directions for Future Research," ERIM Report Series Research in Management ERS-2017-010-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    9. Zhang, M. & Janic, M. & Tavasszy, L.A., 2015. "A freight transport optimization model for integrated network, service, and policy design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 61-76.
    10. Bevrani, Bayan & Burdett, Robert L. & Bhaskar, Ashish & Yarlagadda, Prasad K.D.V., 2017. "A capacity assessment approach for multi-modal transportation systems," European Journal of Operational Research, Elsevier, vol. 263(3), pages 864-878.
    11. Wagenaar, J.C. & Fragkos, I. & Faro, W.L.C., 2023. "Transportation asset acquisition under a newsvendor model with cutting-stock restrictions: Approximation and decomposition algorithms," Other publications TiSEM 97eddbd0-6e34-489c-b27d-9, Tilburg University, School of Economics and Management.
    12. Meng, Qiang & Wang, Xinchang, 2011. "Intermodal hub-and-spoke network design: Incorporating multiple stakeholders and multi-type containers," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 724-742, May.
    13. Zhao, Yiran & Yang, Zhongzhen & Haralambides, Hercules, 2019. "Optimizing the transport of export containers along China's coronary artery: The Yangtze River," Journal of Transport Geography, Elsevier, vol. 77(C), pages 11-25.
    14. Chen, Kang & Yang, Zhongzhen & Notteboom, Theo, 2014. "The design of coastal shipping services subject to carbon emission reduction targets and state subsidy levels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 192-211.
    15. Christine Tawfik & Sabine Limbourg, 2018. "Pricing Problems in Intermodal Freight Transport: Research Overview and Prospects," Sustainability, MDPI, vol. 10(9), pages 1-22, September.
    16. Shuangyan Li & Yijing Liang & Zhenjie Wang & Dezhi Zhang, 2021. "An Optimization Model of a Sustainable City Logistics Network Design Based on Goal Programming," Sustainability, MDPI, vol. 13(13), pages 1-20, July.
    17. Zhongzhen Yang & Haiping Shi & Kang Chen & Hongli Bao, 2014. "Optimization of container liner network on the Yangtze River," Maritime Policy & Management, Taylor & Francis Journals, vol. 41(1), pages 79-96, January.
    18. Anita Odchimar & Shinya Hanaoka, 2017. "Intermodal freight network incorporating hub-and-spoke and direct calls for the archipelagic Philippines," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(2), pages 352-378, June.
    19. Ahmad Baubaid & Natashia Boland & Martin Savelsbergh, 2021. "The Value of Limited Flexibility in Service Network Designs," Transportation Science, INFORMS, vol. 55(1), pages 52-74, 1-2.
    20. Sina Mohri, Seyed & Thompson, Russell, 2022. "Designing sustainable intermodal freight transportation networks using a controlled rail tariff discounting policy – The Iranian case," Transportation Research Part A: Policy and Practice, Elsevier, vol. 157(C), pages 59-77.
    21. Noruzoliaee, Mohamadhossein & Zou, Bo & Zhou, Yan (Joann), 2021. "Truck platooning in the U.S. national road network: A system-level modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).

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