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Vulnerability Discussion in Multimodal Freight Systems

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Essays in Production, Project Planning and Scheduling

Abstract

Transportation systems constitute a significant part of the global economy, specifically in relation to the efficient movement of goods and services. In this chapter, we discuss the vulnerability of the transportation infrastructure to extreme events. Concepts such as reliability, vulnerability, risk, and resilience are developed and their relationships are discussed for multimodal transportation systems. These concepts are further illustrated using Hurricane Katrina’s impact on the freight flow transportation on the roadway network within a state and in the USA. A discussion on the vulnerability analysis of the multimodal transportation systems to extreme events is followed by suggestions for future research.

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References

  • Aydin SG, Pulat PS, Shen Q (2011). A framework to analyze extreme events with case studies, Working Paper, The University of Oklahoma, Norman, OK

    Google Scholar 

  • Ball MO, Golden BL, Vohra RV (1989) Finding the most vital arcs in a network. Operations Research Letters 8:73–76

    Google Scholar 

  • Bell MGH (2000) A game theory approach to measure the performance reliability of transport networks. Transportation Research Part B 34(6):533–545

    Google Scholar 

  • Bell MGH, Iida Y (1997) Transportation network analysis. Wiley, Chichester

    Google Scholar 

  • Berdica K (2002) An introduction to road vulnerability: What has been done, is done and should be done. Transp Policy 9:117–127

    Google Scholar 

  • Chen A, Yang H, Lo HK, Tang WH (2002) Capacity reliability of a road network: An assessment methodology and numerical results. Transportation Research Part B 36:225–252

    Google Scholar 

  • Clark SD, Watling DP (2005) Modeling network travel time reliability under stochastic demand. Transportation Research Part B 39:119–140

    Google Scholar 

  • Curtis SA. (2007). Hurricane Katrina damage assessment: Louisiana, Alabama, and Mississippi Ports and Coasts. Reston, VA: American Society of Civil Engineers

    Google Scholar 

  • DesRoches R (2006). Hurricane Katrina: Performance of transportation systems. Reston: ASCE Technical Council on Lifeline Earthquake Engineering

    Google Scholar 

  • D’Este GM, Taylor MAP (2003) Network vulnerability: An approach to reliability analysis at the level of national strategic transport networks. In: Bell MGH, Iida Y (Eds.) The network reliability of transport. Pergamon-Elsevier, Oxford, pp 23–44

    Google Scholar 

  • EuroStat. (2011). EU transport in figures: Statistical pocketbook 2001. http://ec.europa.eu/transport/publications/statistics/pocketbook-2011_en.htm http://ec.europa.eu/trans- http://ec.europa.eu/transport/publications/statistics/pocketbook-2011_en.htm port/publications/statistics/pocketbook-2011_en.htm.

    Google Scholar 

  • Fritz C (1961) Disaster. In: Merton RK, Nisbet RA (Eds.) Contemporary social problems. Harcourt Press, New York, pp 651–694

    Google Scholar 

  • Garrison WL (1960) Connectivity of the interstate highway system. Pap Reg Sci 6:121–137

    Google Scholar 

  • Jenelius E, Petersen T, Mattsson LG (2006) Importance and exposure in road network vulnerability analysis. Transportation Research Part A: Policy Practice 40(7):537–560

    Google Scholar 

  • Knoop V, Zuylen H van, Hoogendoorn S (2008) The influence of spill back modeling when assessing consequences of blockings in a road network. European Journal of Transportation Infrastructure Research 8:287–300

    Google Scholar 

  • Kurauchi F, Uno N, Sumalee A, Seto Y (2009) Network evaluation based on connectivity vulnerability. Transportation and Traffic Theory 2009: Golden Jubilee: Papers selected for presentation at ISTTT18: 637–49. Springer, ISTTT Series. Dordrecht and New York

    Google Scholar 

  • Matisziw TC, Murray AT (2009) Modeling s–t path availability to support disaster vulnerability assessment of network infrastructure. Comput Oper Res 36:16–26

    Google Scholar 

  • Murray AT, Grubesic TH (2007) Reliability and Vulnerability in Critical Infrastructure: A quantitative geographic perspective. Springer, Berlin Heidelberg

    Google Scholar 

  • Murray AT, Matisziw TC, Grubesic TH (2008) A methodological overview of network vulnerability analysis. Growth Change 39(4):573–592

    Google Scholar 

  • MW (Meriam-Webster) Dictionary (2008)

    Google Scholar 

  • NERC (2004) Final report on the August 14, 2003 Blackout in the United States and Canada: Causes and Recommendations, North American Electric Reliability Council (NERC)

    Google Scholar 

  • Nicholson A, Du Z-P (1994) “Improving transportation system reliability: A framework”, 17th ARRB Conference, Gold Coast, Queensland, pp. 1–17

    Google Scholar 

  • Nicholson A (2003). Transport network reliability measurement and analysis. Transportes, XI, 49–62

    Google Scholar 

  • NGA. (2009). Hurricane Katrina remote sensing data. FEMA Mapping and Analysis Center. http://www.gismaps.fema.gov/2005pages/rsdrkatrina.shtm. Accessed 10 Mar 2009

  • Peek LA, Mileti DS (2002) The history and future of disaster research. In: Bechtel RB, Churchman A (Eds.) Handbook of environmental psychology. Wiley, New York, pp 511–524

    Google Scholar 

  • Ratliff HD, Sicilia GT, Lubore SH (1975) Finding the n most vital links in flow networks. Manage Sci 21:531–539

    Google Scholar 

  • Renesys C (2004) Impact of 2003 blackouts on internet communications. Retrieved from www.renesys.com/wp-content/uploads/.../Renesys_BlackoutReport.pdf

  • Schmidtlein MC, Deutsch RC, Piegorsch WW, Cutter SL (2008) “A sensitivity analysis of the social vulnerability index”. Risk Analysis 28(4):1099–1114

    Google Scholar 

  • Szeto WY, O’Brien L, O’Mahony M (2007) Generalization of risk averse traffic assignment. In: Allsop RE, Bell MGH, Heydecker BG (Eds.) Transportation and traffic theory. Elsevier Science, Amsterdam, pp 127–153

    Google Scholar 

  • van Nes R (2002) Design of multimodal transport network, Civil Engineering. Delft Technical University, Delft, p. 304

    Google Scholar 

  • Vos F, Rodriguez J, Below R, Guha-Sapir D (2010) Annual disaster statistical review 2009: The numbers and trends. CRED, Brussels

    Google Scholar 

  • USDOT BTS (2004) Transportation statistics annual report. U.S. Department of Transportation (USDOT), Bureau of Transportation Statistics (BTS), Washington, DC

    Google Scholar 

  • USDOT BTS (2009) Transportation statistics annual report. U.S. Department of Transportation (USDOT), Bureau of Transportation Statistics (BTS), Washington, DC

    Google Scholar 

  • Wakabayashi H, Iida Y (1992) Upper and lower bounds of terminal reliability of road networks: an efficient method with Boolean algebra. Journal of Natural Disaster Science 14(1):29–44

    Google Scholar 

  • WEF (2011) Global risks 2011—a global risk network report. World Economic Forum. Retrieved from http://reports.weforum.org/global-risks-2011/

  • Yang H, Bell MGH, Meng Q (2000) Modeling the capacity and level of service of urban transportation networks. Transportation Research Board B 34:255–275

    Google Scholar 

  • Zhang P, Peeta S (2011) A generalized modeling framework to analyze interdependencies among infrastructure systems. Transportation Research Part B 45:553–579

    Google Scholar 

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Correspondence to Saniye Gizem Aydin .

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Aydin, S., Pulat, P. (2014). Vulnerability Discussion in Multimodal Freight Systems. In: Pulat, P., Sarin, S., Uzsoy, R. (eds) Essays in Production, Project Planning and Scheduling. International Series in Operations Research & Management Science, vol 200. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9056-2_7

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