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Estimation of indirect cost and evaluation of protective measures for infrastructure vulnerability: A case study on the transalpine transport corridor

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  • Lorenzo Masiero

    (Istituto Ricerche Economiche (IRE), Università della Svizzera Italiana, Svizzera)

  • Rico Maggi

    (Istituto Ricerche Economiche (IRE), Università della Svizzera Italiana, Svizzera)

Abstract

Infrastructure vulnerability is a topic of rising interest in the scientific literature for both the general increase of unexpected events and the strategic importance of certain links. Protective investments are extremely costly and risks are distributed in space and time which poses important decision problems to the public sector decision makers. In an economic prospective, the evaluation of infrastructure vulnerability is oriented on the estimation of direct and indirect costs of hazards. Although the estimation of direct costs is straightforward, the evaluation of indirect cost involves factors non-directly observable making the approximation a difficult issue. This paper provides an estimate of the indirect costs caused by a two weeks closure of the north-south Gotthard road corridor, one of the most important infrastructure links in Europe, and implements a cost-benefit analysis tool that allows the evaluation of measures ensuring a full protection along the corridor. The identification of the indirect cost relies on the generalized cost estimation, which parameters come from two stated preference experiments, the first based on actual condition whereas the second assumes a road closure. The procedure outlined in this paper proposes a methodology aimed to identify and quantify the economic vulnerability associated with a road transport infrastructure and, to evaluate the economic and social efficiency of a vulnerability reduction by the consideration of protective measures.

Suggested Citation

  • Lorenzo Masiero & Rico Maggi, 2010. "Estimation of indirect cost and evaluation of protective measures for infrastructure vulnerability: A case study on the transalpine transport corridor," Quaderni della facoltà di Scienze economiche dell'Università di Lugano 1003, USI Università della Svizzera italiana.
  • Handle: RePEc:lug:wpaper:1003
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    References listed on IDEAS

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    Cited by:

    1. Rodríguez-Núñez, Eduardo & García-Palomares, Juan Carlos, 2014. "Measuring the vulnerability of public transport networks," Journal of Transport Geography, Elsevier, vol. 35(C), pages 50-63.
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    3. Masiero, Lorenzo & Hensher, David A., 2010. "Analyzing loss aversion and diminishing sensitivity in a freight transport stated choice experiment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(5), pages 349-358, June.
    4. Caspersen, Elise & Ørving, Tale & Tennøy, Aud, 2023. "Capacity reduction on urban main roads: How truck drivers adapted, and what effects and consequences they experienced," Transport Policy, Elsevier, vol. 130(C), pages 68-83.
    5. Muriel-Villegas, Juan E. & Alvarez-Uribe, Karla C. & Patiño-Rodríguez, Carmen E. & Villegas, Juan G., 2016. "Analysis of transportation networks subject to natural hazards – Insights from a Colombian case," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 151-165.
    6. Levi Vermote & Cathy Macharis & Koen Putman, 2013. "A Road Network for Freight Transport in Flanders: Multi-Actor Multi-Criteria Assessment of Alternative Ring Ways," Sustainability, MDPI, vol. 5(10), pages 1-25, September.
    7. Lorenzo Masiero & David Hensher, 2011. "Shift of reference point and implications on behavioral reaction to gains and losses," Transportation, Springer, vol. 38(2), pages 249-271, March.
    8. Tao, Xuezong & Zhu, Lichao, 2020. "Meta-analysis of value of time in freight transportation: A comprehensive review based on discrete choice models," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 213-233.

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    More about this item

    Keywords

    infrastructure vulnerability; choice experiment; cost-benefit analysis; freight transport;
    All these keywords.

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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