A framework for an on-demand dangerous goods routing support system for the metro Vancouver area

作者：El Basyouny Karim^*; Sayed Tarek

来源：Journal of Engineering Research, 2014, 2(3): 19-39.

DOI：10.7603/s40632-014-0012-1

• Consequence
• dangerous goods
• dispersion model
• probability
• risk
• routing

This paper proposes a framework that integrates existing climate conditions with a Geographical Information System (GIS) to develop an on-demand dangerous goods (DG) routing support system. The framework focuses on mitigating the risks associated with DG transportation via route selection. Evidently, DG routing involves a number of decisions that require the consideration of multiple and sometimes conflicting risks. As a result, the framework includes a number of different routing criteria pertaining to safety, efficiency, security, and cost. The framework was applied to a large-scale transportation network representing the Metro Vancouver area. The network was represented spatially in a GIS database along with a real-time dispersion plume model to simulate a specific chemical release under local weather conditions. The results show that different routing criteria lead to different optimal route choices. The authors also compared route selection based on the Emergency Response Guidebook (ERG) for protection and isolation actions with route selection based on dispersion models. The comparison results show that, when employing the ERG in a small spill scenario, decision-makers are at risk of exposing a large number of individuals to severe health effects. Vice. versa, if the ERG was to be followed in a large spill scenario, many individuals who are not at risk would be unnecessarily evacuated. This translates into increased evacuation costs, and wastes the time and effort of emergency personnel. The study shows that these issues are properly addressed if a dispersion model is used to refine the estimation of the impact zone by including measures that are specific to the shipment.

• 出版日期2014-9