Risk management of road and rail transport of hazardous materials in Sicily

Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks

“…Risk assessment seeks for means of assessing the risk or security levels on different segments of the routes and subsequently for the entire network (Bubbico et al 2004(Bubbico et al , 2006Parikh 2011b, 2013). Such efforts typically involve analytical models as opposed to optimization problems.…”

A study of land transport of dangerous substances in Eastern Sicily

“…A comparison with the study of Bubbico et al (2006) has also been made in order to verify our results. Both approaches (TRAT and TrHaz methodologies) are applicable for the quantitative analysis of risk in transportation of hazardous substances, although they were developed with different aims during the progress of the research project financed by the Italian Department of Civil Protection.…”

“…The first attempt to apply the TRAT method on regional scale has been described by , this study is completed in the present paper. The results of the application of the method of Bubbico et al on the same area, studied by Antonioni et al in 2004, has been reported by Bubbico, Maschio, Mazzarotta, Milazzo, & Parisi in 2006. In this work the TRAT methodology (Leonelli et al, 1999) has been applied on a large area such as the Eastern Sicily, South of Italy. This territory is characterized by a very high concentration of chemical plants, mainly petrochemical and refineries, and also by an intense transportation of hazardous substances.…”

Uncertainties in QRA: Analysis of losses of containment from piping and implications on risk prevention and mitigation

“…The most relevant European risk studies are those related to the industrialized sites of Canvey Island (UK), Rijnmond (The Netherlands) and Ravenna (Italy), reported respectively by the Health and Safety Executive (1978), the Rijnmond Public Authority (1982) and Egidi et al (1995). Some risk assessment examples, associated with the transportation of dangerous goods, are also given by the literature (see Fabiano et al, 2002;Bubbico et al, 2006;Milazzo et al, 2010;Van Raemdonck et al, 2013). The methods and data used in QRA must be steadily improved, because the accuracy of calculated risk is currently only within one or two orders of magnitude (De Rademaeker et al, 2014); the main causes are the variability in scenarios, when one goes into details, and the assumed equipment failure rates, let alone human factors influence.…”