Hazardous Materials Transportation Risk Assessment: State of the Practice (2013) / Chapter Skim
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Pages 88-98
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From page 88... ...
88 The following section summarizes the major findings from the literature review. It is organized into four primary headings: • New Modeling Techniques and Approaches • Data-Driven Risk Assessment • The Use of Risk Analysis and Route Choice • Economic Risk Analysis The documents and articles summarized were found to be the most comprehensive and detailed in each of these areas, but other resources reviewed are listed with brief notations at the end of each section.
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89 but it is not feasible to prepare for every possible accident on every ship. The risk of each possible incident must be determined so that a shipper can determine which risks it would like to prepare against.
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90 The population-at-risk factor is then calculated by multiplying the hazmat accident probability and the population-atrisk, as determined by evacuation distances, for each route. Alternatively, risk can be assessed through the use of use of the potential hazard rating (PHR)
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91 Analyzing Mitigation of Container Security Risks Using Six Sigma DMAIC Approach in Supply Chain Design Sameer Kumar, Heidi Jensen, Heather Menge. Transportation Journal, Lock Haven: Spring 2008.
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92 dled in a safe manner, as they pose a tremendous amount of risk to the surrounding areas. In this paper, researchers have developed a decisional support system to identify risks associated with transportation hazardous materials.
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93 A.3. The Use of Risk Analysis and Route Choice Individual route choice contributes significantly to the amount of risk associated with transporting a particular shipment.
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94 regulator sets a toll where it minimizes population exposure and travel costs, with the use of tolls allowing for the differentiation between carriers. The toll (either positive or negative value)
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95 Quantitative risk analysis focuses on basic concepts and methodology, calculation techniques, data requirements and limitations, results and presentation formats, and common pitfalls. Where data and availability are concerned, the authors suggest that simple scenarios are usually better for transportation risk analysis.
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96 B Fabiano, E
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97 The risk is based on the probability that train meets with an accident and the consequence of the accident, which is a function of probability (given that an accident has happened: probability of derailment: 0.2347, probability of derailed car is hazmat: 0.4087, probability of a derailed hazmat car has a hazmat release: 0.3952, and population exposure due to hazmat)
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From page 98... ...
98 • Uses a random utility model to examine stated preferences for valuation of public risk of fatalities from terror and natural disasters. • Two series of pair-wise risk-risk tradeoff choices are made using traffic-related deaths.
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