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Truck transport emissions model

dc.contributor.advisorBerthelot, Curtisen_US
dc.contributor.committeeMemberSparks, Gordon A.en_US
dc.contributor.committeeMemberPufahl, Dennis E.en_US
dc.contributor.committeeMemberHertz, P. Barryen_US
dc.creatorCouraud, Amelieen_US
dc.date.accessioned2007-09-07T10:13:48Zen_US
dc.date.accessioned2013-01-04T04:56:55Z
dc.date.available2008-09-17T08:00:00Zen_US
dc.date.available2013-01-04T04:56:55Z
dc.date.created2007-09en_US
dc.date.issued2007-09-17en_US
dc.date.submittedSeptember 2007en_US
dc.description.abstractIn the past, transportation related economic analysis has considered agency related costs only. However, transportation managers are moving towards more holistic economic analysis including road user and environmental costs and benefits. In particular, transportation air pollution is causing increasing harm to health and the environment. Transport managers are now considering related emissions in transport economical analyses, and have established strategies to help meet Kyoto Protocol targets, which specified a fifteen percent reduction in Canada's emissions related to 1990 levels within 2008-2012.The objectives of this research are to model heavy vehicle emissions using a emissions computer model which is able to assess various transport applications, and help improve holistic economic transport modeling. Two case studies were evaluated with the model developed.Firstly, the environmental benefits of deploying weigh-in-motion systems at weigh stations to pre-sort heavy vehicles and reduce delays were assessed. The second case study evaluates alternative truck sizes and road upgrades within short heavy oilfield haul in Western Canada. The model developed herein employed a deterministic framework from a sensitivity analysis across independent variables, which identified the most sensitive variables to primary field state conditions. The variables found to be significant included idling time for the weigh-in-motion case study, road stiffness and road grades for the short heavy haul oilfield case study.According to this research, employing WIM at weigh stations would reduce annual Canadian transportation CO2 emissions by nearly 228 kilo tonnes, or 1.04 percent of the Canadian Kyoto Protocol targets. Regarding direct fuel savings, WIM would save from 90 to 190 million litres of fuel annually, or between $59 and $190 million of direct operating costs.Regarding the short heavy oil haul case study, increasing allowable heavy vehicle sizes while upgrading roads could decrease the annual emissions, the fuel consumption, and their associated costs by an average of 68 percent. Therefore, this could reduce each rural Saskatchewan municipality's annual CO2 emissions from 13 to 26.7-kilo tonnes, which translates to 0.06 and 0.12 percent of the Canadian Kyoto Protocol targets or between $544,000 and $ 1.1 million annually. Based on these results, the model demonstrates its functionality, and was successfully applied to two typical transportation field state applications. The model generated emissions savings results that appear to be realistic, in terms of potential Kyoto targets, as well as users cost reductions and fuel savings.en_US
dc.identifier.urihttp://hdl.handle.net/10388/etd-09072007-101348en_US
dc.language.isoen_USen_US
dc.subjecttruck sizeen_US
dc.subjectdeterministic modelen_US
dc.subjectroad uprgadesen_US
dc.subjectshort heavy haulen_US
dc.subjectemissions costsen_US
dc.subjectweigh-in-motion systemen_US
dc.subjectsustainable develpmenten_US
dc.subjectemissions ratesen_US
dc.titleTruck transport emissions modelen_US
dc.type.genreThesisen_US
dc.type.materialtexten_US
thesis.degree.departmentCivil Engineeringen_US
thesis.degree.disciplineCivil Engineeringen_US
thesis.degree.grantorUniversity of Saskatchewanen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMaster of Engineering (M.Eng.)en_US

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