Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/660
Title: An Application of a Risk/Cost-Based Algorithm for the Routing of Dangerous Goods in Kuwait City
Authors: Shahad Alojaiman 
Supervisor: Dr. Fahad Alrukaibi
Keywords: Dangerous Goods : Risk
Issue Date: 2017
Publisher:  Kuwait university - college of graduate studies
Abstract: The risk analysis process of dangerous goods transportation routing indemnifies the safety of surrounding environment and population. For such a purpose, a Risk/Cost Based Algorithm was adopted and its` implementation is analyzed to fit the data of the State of Kuwait, and is then applied on a study case to illustrate its capabilities. Dangerous goods transportation regulations set by Kuwait`s various ministries are researched to aid with the implementation of the algorithm. Each aspect of the Risk/Cost Based Algorithm is examined and reshaped in accordance with the available data and regulation, to finally arrive at a revised algorithm. In the process incident probability, incident consequence, and risk assessment which are the algorithm`s main criteria were established. A study case was selected as a shipment of benzene transported by Kuwait's national petroleum company. For such a case the risk associated with several assumed routes are to be investigated through the Risk/Cost Based Algorithm. Consequently, a simulation of an incident was created via ALOHA (a dispersion model software) based on data regarding climate properties, type of dangerous material, topography, and type of release. The resulting footprint was infused in an ArcGIS environment in addition to multiple databases describing road characteristics, population distribution, etc. Utilizing ArcGIS tools allowed generating impact zones based on both the created dispersion model and the Emergency Response Guide Recommendations. The created impact zones assist in analyzing population exposure estimations as well as sensitive and emergency facilities proximity considerations. A discussion of the results at the end highlights the best route choice for the studied case and states reasons. The results would also aid to make a better-informed routing decision in general and exposes safety inadequacies around certain areas. Various data insufficiencies could be improved with future research on the subject. This research will also expand on the idea of integrated Geographic Information Systems and Risk/Cost based analysis.
URI: http://hdl.handle.net/123456789/660
Appears in Programs:0620 Civil Engineering

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