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Freight service network design with heterogeneous preferences for transport time and reliability

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  • Duan, Liwei
  • Tavasszy, Lorant A.
  • Rezaei, Jafar

Abstract

Value of time and value of reliability are two important user attributes that reflect shippers’ behavioral preferences, and as such influence the design of transport service networks. As shippers preferences will vary widely, it is important to consider these variations between users in the design of service networks. Up to now, network design research has ignored the combined use of time and reliability valuations for heterogeneous user populations. The objective of this paper is to address these attributes in a model for freight service network design targeting service performance improvement. We present a new frequency based service network design model with transshipments, capacity constraints and heterogeneous users. We apply the model to demonstrate that including heterogeneity explicitly in network design pays off in terms of an improved user performance of the network. A case study is conducted for a railway network in China. Values of time and reliability are estimated from a recent Stated Preference survey and used to determine distinct user classes. The proposed optimization problem is solved using an improved Simulated Annealing based heuristic method, for the case of the aggregate user group and the case of two distinct classes. Results show that by taking variations in shippers’ VOT and VOR into account, users’ total generalized cost is reduced while service levels improve. We conclude that incorporating heterogeneous VOT and VOR into the service network design problem is of interest for decisions on network investments.

Suggested Citation

  • Duan, Liwei & Tavasszy, Lorant A. & Rezaei, Jafar, 2019. "Freight service network design with heterogeneous preferences for transport time and reliability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 124(C), pages 1-12.
  • Handle: RePEc:eee:transe:v:124:y:2019:i:c:p:1-12
    DOI: 10.1016/j.tre.2019.02.008
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    1. Lin, Bo-Liang & Wang, Zhi-Mei & Ji, Li-Jun & Tian, Ya-Ming & Zhou, Guo-Qing, 2012. "Optimizing the freight train connection service network of a large-scale rail system," Transportation Research Part B: Methodological, Elsevier, vol. 46(5), pages 649-667.
    2. Tan, Zhijia & Yang, Hai, 2012. "The impact of user heterogeneity on road franchising," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 958-975.
    3. Zhao, Yong & Kockelman, Kara Maria, 2006. "On-line marginal-cost pricing across networks: Incorporating heterogeneous users and stochastic equilibria," Transportation Research Part B: Methodological, Elsevier, vol. 40(5), pages 424-435, June.
    4. 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.
    5. Crainic, Teodor G. & Rousseau, Jean-Marc, 1986. "Multicommodity, multimode freight transportation: A general modeling and algorithmic framework for the service network design problem," Transportation Research Part B: Methodological, Elsevier, vol. 20(3), pages 225-242, June.
    6. Arunotayanun, Kriangkrai & Polak, John W., 2011. "Taste heterogeneity and market segmentation in freight shippers' mode choice behaviour," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(2), pages 138-148, March.
    7. Luca Zamparini & Aura Reggiani, 2007. "Freight Transport and the Value of Travel Time Savings: A Meta‐analysis of Empirical Studies," Transport Reviews, Taylor & Francis Journals, vol. 27(5), pages 621-636, March.
    8. Jianjun Zhang & Ou Tang & Jin Zhao & Jiazhen Huo & Yonggang Xia, 2013. "CPEL Redesigns Its Land Express Network," Interfaces, INFORMS, vol. 43(3), pages 221-231, May-June.
    9. J Andersen & M Christiansen, 2009. "Designing new European rail freight services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 348-360, March.
    10. Fowkes, Tony, 2007. "The design and interpretation of freight stated preference experiments seeking to elicit behavioural valuations of journey attributes," Transportation Research Part B: Methodological, Elsevier, vol. 41(9), pages 966-980, November.
    11. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
    12. Yang, Hai & Yan Kong, Hoi & Meng, Qiang, 2001. "Value-of-time distributions and competitive bus services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(6), pages 411-424, December.
    13. Crainic, Teodor Gabriel, 2000. "Service network design in freight transportation," European Journal of Operational Research, Elsevier, vol. 122(2), pages 272-288, April.
    14. Yang, Hai & Tang, Wilson H. & Man Cheung, Wing & Meng, Qiang, 2002. "Profitability and welfare gain of private toll roads in a network with heterogeneous users," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(6), pages 537-554, July.
    15. Racunica, Illia & Wynter, Laura, 2005. "Optimal location of intermodal freight hubs," Transportation Research Part B: Methodological, Elsevier, vol. 39(5), pages 453-477, June.
    16. Longsheng Sun & Mark H. Karwan & Changhyun Kwon, 2016. "Incorporating Driver Behaviors in Network Design Problems: Challenges and Opportunities," Transport Reviews, Taylor & Francis Journals, vol. 36(4), pages 454-478, July.
    17. Yang, Hai & Huang, Hai-Jun, 2004. "The multi-class, multi-criteria traffic network equilibrium and systems optimum problem," Transportation Research Part B: Methodological, Elsevier, vol. 38(1), pages 1-15, January.
    18. Smilowitz, Karen Renee, 2001. "Design and Operation of Multimode, Multiservice Logistics Systems," University of California Transportation Center, Working Papers qt2bb1g26m, University of California Transportation Center.
    19. Shams, Kollol & Asgari, Hamidreza & Jin, Xia, 2017. "Valuation of travel time reliability in freight transportation: A review and meta-analysis of stated preference studies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 228-243.
    20. Kwon, Oh Kyoung & Martland, Carl D. & Sussman, Joseph M., 1998. "Routing and scheduling temporal and heterogeneous freight car traffic on rail networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 34(2), pages 101-115, June.
    21. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
    22. Friesz, Terry L. & Anandalingam, G. & Mehta, Nihal J. & Nam, Keesung & Shah, Samir J. & Tobin, Roger L., 1993. "The multiobjective equilibrium network design problem revisited: A simulated annealing approach," European Journal of Operational Research, Elsevier, vol. 65(1), pages 44-57, February.
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