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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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  • Masiero, Lorenzo
  • Maggi, Rico

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.

Suggested Citation

  • Masiero, Lorenzo & Maggi, Rico, 2012. "Estimation of indirect cost and evaluation of protective measures for infrastructure vulnerability: A case study on the transalpine transport corridor," Transport Policy, Elsevier, vol. 20(C), pages 13-21.
    • Handle: RePEc:eee:trapol:v:20:y:2012:i:c:p:13-21
    DOI: 10.1016/j.tranpol.2011.10.002
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    1. Simona Bolis & Rico Maggi, 2003. "Logistics Strategy and Transport Service Choices: An Adaptive Stated Preference Experiment," Growth and Change, Wiley Blackwell, vol. 34(4), pages 490-504, September.
    2. 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.
    3. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, September.
    4. Chen, Anthony & Yang, Hai & Lo, Hong K. & Tang, Wilson H., 2002. "Capacity reliability of a road network: an assessment methodology and numerical results," Transportation Research Part B: Methodological, Elsevier, vol. 36(3), pages 225-252, March.
    5. Danielis, Romeo & Marcucci, Edoardo & Rotaris, Lucia, 2005. "Logistics managers' stated preferences for freight service attributes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 41(3), pages 201-215, May.
    6. 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.
    7. Hohzaki, Ryusuke & Iida, Koji, 1997. "Optimal strategy of route and look for the path constrained search problem with reward criterion," European Journal of Operational Research, Elsevier, vol. 100(1), pages 236-249, July.
    8. Michael Taylor & Somenahalli Sekhar & Glen D'Este, 2006. "Application of Accessibility Based Methods for Vulnerability Analysis of Strategic Road Networks," Networks and Spatial Economics, Springer, vol. 6(3), pages 267-291, September.
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    Citations

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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.
    2. Vega, Amaya & Feo-Valero, Maria & Espino-Espino, Raquel, 2018. "The potential impact of Brexit on Ireland's demand for shipping services to continental Europe," Transport Policy, Elsevier, vol. 71(C), pages 1-13.
    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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