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Urban rail service design for collaborative passenger and freight transport

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  • Li, Zhujun
  • Shalaby, Amer
  • Roorda, Matthew J.
  • Mao, Baohua

Abstract

This paper develops an operational strategy in which urban rail transit is used for freight transport. An environment-friendly urban freight transportation alternative is analyzed by employing optimization techniques to support the collaborative transportation of passengers and freight. Practical cases are investigated to test the technical feasibility of this transportation scheme. The paper formulates the train service design problem on a single urban rail line with passenger and freight. Passenger trains have a prescribed timetable which is allowed to be slightly modified to facilitate the freight service. Freight can be transported by inserting dedicated freight trains or utilizing the extra space inside the passenger train carriages. Station platforms are able to load and unload both goods and passengers. An optimization model for combined train service design is proposed to maximize profit resulting from the balance of revenues and costs brought by the freight service. The efficient schedules of trains and freight allocation plans are to be determined. This problem is formulated as a mixed-integer linear programming model. An iterative scheduling approach which includes a pre-processing method and two heuristic iterative algorithms is designed to solve the model. Two numerical examples are introduced to demonstrate the efficiency of the proposed model and the iterative scheduling approach.

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  • Li, Zhujun & Shalaby, Amer & Roorda, Matthew J. & Mao, Baohua, 2021. "Urban rail service design for collaborative passenger and freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
  • Handle: RePEc:eee:transe:v:147:y:2021:i:c:s1366554520308474
    DOI: 10.1016/j.tre.2020.102205
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    Cited by:

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    13. Peng, Shouguo & Park, Woo-Yong & Eltoukhy, Abdelrahman E.E. & Xu, Min, 2024. "Outsourcing service price for crowd-shipping based on on-demand mobility services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    14. Lena Hörsting & Catherine Cleophas, 2023. "Integrating Micro-Depot Freight Transport in Existing Public Transport Services," SN Operations Research Forum, Springer, vol. 4(3), pages 1-35, September.
    15. Mo, Pengli & Yao, Yu & D’Ariano, Andrea & Liu, Zhiyuan, 2023. "The vehicle routing problem with underground logistics: Formulation and algorithm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
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    19. Hu, Wanjie & Dong, Jianjun & Hwang, Bon-Gang & Ren, Rui & Chen, Zhilong, 2022. "Is mass rapid transit applicable for deep integration of freight-passenger transport? A multi-perspective analysis from urban China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 490-510.
    20. Hatzenbühler, Jonas & Jenelius, Erik & Gidófalvi, Gyözö & Cats, Oded, 2023. "Modular vehicle routing for combined passenger and freight transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    21. He, Dongdong & Ceder, Avishai (Avi) & Zhang, Wenyi & Guan, Wei & Qi, Geqi, 2023. "Optimization of a rural bus service integrated with e-commerce deliveries guided by a new sustainable policy in China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    22. Machado, Bruno & Pimentel, Carina & Sousa, Amaro de, 2023. "Integration planning of freight deliveries into passenger bus networks: Exact and heuristic algorithms," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    23. He, Dongdong & Guan, Wei, 2023. "Promoting service quality with incentive contracts in rural bus integrated passenger-freight service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).

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