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Estimation of network level benefits of reliability improvements in intermodal freight transport

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  • Zhang, Rong
  • Jian, Wenliang
  • Tavasszy, Lóránt

Abstract

An important problem in the assessment of reliability benefits of transport projects is that link level improvements must be translated to network level, so that they can be economically valued based on users’ trips from origins to destinations. For intermodal transport, shipments follow a chain with more than one mode. Generally, this requires aggregation of travel time distributions that are not additive. We propose an approach that estimates the change in transport time reliability of an intermodal transport chain based on the changes for links of that chain. We demonstrate the framework of reliability assessment for a case study of network improvement for rail-truck intermodal transport in China. Also, we demonstrate the application in a cost-benefit analysis context with user valuations of transport reliabilities from the case at hand. The application leads to the result that projects for the renovation and expansion of the transshipment terminal perform better compared with project that improve rail haulage speed. Another finding is that the effect of reliability improvement projects can be super-additive at network level. In comparison with traditional methods, we conclude that the proposed method can better estimate transport time reliability benefits when the distribution of link travel times is highly skewed. Also, it opens new possibilities for further research for measuring correlated reliability measures within networks and for performing network resilience analysis.

Suggested Citation

  • Zhang, Rong & Jian, Wenliang & Tavasszy, Lóránt, 2018. "Estimation of network level benefits of reliability improvements in intermodal freight transport," Research in Transportation Economics, Elsevier, vol. 70(C), pages 1-8.
    • Handle: RePEc:eee:retrec:v:70:y:2018:i:c:p:1-8
    DOI: 10.1016/j.retrec.2018.09.002
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    Cited by:

    1. Khalili, Fatemeh Bagheri & Antunes, António Pais & Mohaymany, Afshin Shariat, 2020. "Evaluating interregional freight accessibility conditions through the combination of centrality and reliability measures," Journal of Transport Geography, Elsevier, vol. 83(C).
    2. Ludmiła Filina-Dawidowicz & Mariusz Kostrzewski, 2022. "The Complexity of Logistics Services at Transshipment Terminals," Energies, MDPI, vol. 15(4), pages 1-26, February.
    3. Agata Marcysiak, 2020. "Analysis of the Rail Transport Market in Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 1), pages 819-832.
    4. Chunjiao Shao & Haiyan Wang & Meng Yu, 2022. "Multi-Objective Optimization of Customer-Centered Intermodal Freight Routing Problem Based on the Combination of DRSA and NSGA-III," Sustainability, MDPI, vol. 14(5), pages 1-25, March.
    5. Vitalii Naumov & Gaziza Zhumatayeva & Igor Taran & Madina Bazarbekova & Batyrbek Kenzhegaliyev, 2022. "Selecting a Rational Scheme of Delivery by Road Transport: A Case Study of Goods Deliveries from China to Russia through Kazakhstan," Sustainability, MDPI, vol. 14(9), pages 1-15, April.

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    More about this item

    Keywords

    intermodal freight transport; Network design; Reliability assessment; Cost-benefit analysis; Hasofer lind-rackwitz fiessler method; Error components model;
    All these keywords.

    JEL classification:

    • R42 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Government and Private Investment Analysis; Road Maintenance; Transportation Planning

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