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Economic evaluation of redundancy design for transportation networks under disruptions: Framework and case study

Author

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  • Zhu, Jingjing
  • Xu, Xiangdong
  • Wang, Zijian
Abstract
Adding transportation network redundancy is an effective strategy to hedge against disruptions in the pre-disaster planning stage. However, given the low frequency of disruptions and large financial cost of redundancy design, the economic feasibility of redundancy design has always been challenged. This paper develops a framework to investigate the economic feasibility of adding redundancy to road networks in the pre-disaster planning stage by considering network-wide benefits and stochastic disruption scenarios. Specifically, the redundancy of road networks is defined as route diversity, which refers to the number of behaviorally alternative routes between each origin-destination pair. The redundancy design schemes are formulated by adding parallel links to critical links in current road networks, as these added links provide alternative routes for numerous travelers when the critical links are disrupted. As the redundancy of a transportation system is not only accessible under disruptions but also on duty in normal states, this paper estimates the benefits of redundancy design for road networks in both normal and disruptive states. The Winnipeg network is then used in the case study with the focus on adding redundant bridges. Results indicate that the benefit-cost ratio (BCR) of adding one redundant bridge is 3.51 and redundancy design in road networks is economically feasible. Since the value of BCR is sensitive to the discount rate and the performance of disruptive events, the related data should be collected cautiously when estimating the benefits of redundancy design in practice. Meanwhile, we observe the diminishing marginal effect in the addition of multiple redundant links, which provides insights into the decision-making regarding the optimal amount of redundancy investment in road networks. The proposed framework can be considered as a decision support tool to justify and rank alternative projects from the new perspective of redundancy and resilience.

Suggested Citation

  • Zhu, Jingjing & Xu, Xiangdong & Wang, Zijian, 2023. "Economic evaluation of redundancy design for transportation networks under disruptions: Framework and case study," Transport Policy, Elsevier, vol. 142(C), pages 70-83.
    • Handle: RePEc:eee:trapol:v:142:y:2023:i:c:p:70-83
    DOI: 10.1016/j.tranpol.2023.08.004
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    References listed on IDEAS

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    1. M. D. Yap & N. Oort & R. Nes & B. Arem, 2018. "Identification and quantification of link vulnerability in multi-level public transport networks: a passenger perspective," Transportation, Springer, vol. 45(4), pages 1161-1180, July.
    2. Chan, Ho-Yin & Chen, Anthony & Li, Guoyuan & Xu, Xiangdong & Lam, William, 2021. "Evaluating the value of new metro lines using route diversity measures: The case of Hong Kong's Mass Transit Railway system," Journal of Transport Geography, Elsevier, vol. 91(C).
    3. Laird, James J. & Venables, Anthony J., 2017. "Transport investment and economic performance: A framework for project appraisal," Transport Policy, Elsevier, vol. 56(C), pages 1-11.
    4. Vickerman, R., 2000. "Evaluation methodologies for transport projects in the United Kingdom," Transport Policy, Elsevier, vol. 7(1), pages 7-16, January.
    5. Xu, Xiangdong & Chen, Anthony & Jansuwan, Sarawut & Yang, Chao & Ryu, Seungkyu, 2018. "Transportation network redundancy: Complementary measures and computational methods," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 68-85.
    6. Leurent, Fabien M., 1997. "Curbing the computational difficulty of the logit equilibrium assignment model," Transportation Research Part B: Methodological, Elsevier, vol. 31(4), pages 315-326, August.
    7. Nogal, Maria & O'Connor, Alan & Caulfield, Brian & Martinez-Pastor, Beatriz, 2016. "Resilience of traffic networks: From perturbation to recovery via a dynamic restricted equilibrium model," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 84-96.
    8. Berdica, Katja, 2002. "An introduction to road vulnerability: what has been done, is done and should be done," Transport Policy, Elsevier, vol. 9(2), pages 117-127, April.
    9. Vigren, Andreas & Ljungberg, Anders, 2018. "Public Transport Authorities’ use of Cost-Benefit Analysis in practice," Research in Transportation Economics, Elsevier, vol. 69(C), pages 560-567.
    10. Mayada Omer & Ali Mostashari & Roshanak Nilchiani & Mo Mansouri, 2012. "A framework for assessing resiliency of maritime transportation systems," Maritime Policy & Management, Taylor & Francis Journals, vol. 39(7), pages 685-703, December.
    11. Peter Mackie, 2010. "Cost-Benefit Analysis in Transport: A UK Perspective," OECD/ITF Joint Transport Research Centre Discussion Papers 2010/16, OECD Publishing.
    12. Snelder, M. & van Zuylen, H.J. & Immers, L.H., 2012. "A framework for robustness analysis of road networks for short term variations in supply," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(5), pages 828-842.
    13. Mackie, Peter & Worsley, Tom & Eliasson, Jonas, 2014. "Transport appraisal revisited," Research in Transportation Economics, Elsevier, vol. 47(C), pages 3-18.
    14. Reggiani, Aura & Nijkamp, Peter & Lanzi, Diego, 2015. "Transport resilience and vulnerability: The role of connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 4-15.
    15. Jenelius, Erik & Petersen, Tom & Mattsson, Lars-Göran, 2006. "Importance and exposure in road network vulnerability analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(7), pages 537-560, August.
    16. Xu, Xiangdong & Chen, Anthony & Xu, Guangming & Yang, Chao & Lam, William H.K., 2021. "Enhancing network resilience by adding redundancy to road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    17. Cho & Gordon & James E. Moore II & Pan & Park & Harry W. Richardson, 2015. "TransNIEMO: economic impact analysis using a model of consistent inter-regional economic and network equilibria," Transportation Planning and Technology, Taylor & Francis Journals, vol. 38(5), pages 483-502, July.
    18. Cats, O., 2016. "The robustness value of public transport development plans," Journal of Transport Geography, Elsevier, vol. 51(C), pages 236-246.
    19. Joseph Berechman & Robert Paaswell, 2005. "Evaluation, prioritization and selection of transportation investment projects in New York City," Transportation, Springer, vol. 32(3), pages 223-249, May.
    20. Woods, David D., 2015. "Four concepts for resilience and the implications for the future of resilience engineering," Reliability Engineering and System Safety, Elsevier, vol. 141(C), pages 5-9.
    21. Cox, Andrew & Prager, Fynnwin & Rose, Adam, 2011. "Transportation security and the role of resilience: A foundation for operational metrics," Transport Policy, Elsevier, vol. 18(2), pages 307-317, March.
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