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2011 | Mathematical, Econometrical and Computer Methods in Finance and Insurance 2009 | 34--48
Tytuł artykułu

On Risk Analysis for Hazardous Materials

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The assessment of hazardous materials (HazMats) transport risk assumes a fundamental importance, especially in urban areas, in order to identify possible alternative routes and choose among these the route of minimum risk. It is necessary to appropriately integrate risk analysis with planning and transport management to prevent a potential danger being transformed into a real event. In the present study, we introduce new decision models, and a comparison with the approaches of the different models proposed. (original abstract)
Twórcy
  • University of Messina, Italy
  • University of Messina, Italy
  • University of Messina, Italy
  • University of Reggio Calabria, Italy
Bibliografia
  • Castillo J.E.A. (2004): Roule Optimization for Hazardous Materials Transport. Thesis submitted to the International Institute for Geo-information Science and Earth Observation, Master of Science in Urban Planning and Land Administration, The Netherlands.
  • Fabiano B., Curro F., Palazzi E., Pastorino R. (2002): A Framework for Risk Assessment and Decision-making Strategies in Dangerous Good Transportation. "Journal of Hazardous Materials" 93(1).
  • Leonardi G. (2008): Routes Planning for Hazmat Transport. 17 Convegno Nazionale SIIV, Enna, 2008.
  • Leonelli P., Bonvicini S., Spadoni G. (2000): Hazardous Materials Transportation: A Risk-analysis Based Routing Methodology. "Journal of Hazardous Materials" 71(1-3).
  • Zografos K.G., Davis C.F. (1989): Multi-Objective Programming Approach For Routing Hazardous Materials. "Journal of Transportation Engineering" 115(6).
  • Zografos K.G., Androutsopoulos K.N. (2004): A Heuristic Algorithm for Solving Hazardous Materials Distribution Problems. "European Journal of Operational Research" 152(2).
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171213265

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