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AVIS:L'auteur a accorde une licence non exclusive permettant a la Bibliotheque et Archives Canada de reproduire, publier, archiver, sauvegarder, conserver, transmettre au public par telecommunication ou par I'lnternet, preter, distribuer et vendre des theses partout dans le monde, a des fins commerciales ou autres, sur support microforme, papier, electronique et/ou autres formats.The author retains copyright ownership and moral rights in this thesis. Neither the thesis nor substantial extracts from it may be printed or otherwise reproduced without the author's permission.L'auteur conserve la propriete du droit d'auteur et des droits moraux qui protege cette these. Ni la these ni des extraits substantiels de celle-ci ne doivent etre imprimes ou autrement reproduits sans son autorisation.In compliance with the Canadian Privacy Act some supporting forms may have been removed from this thesis.While these forms may be included in the document page count, their removal does not represent any loss of content from the thesis.Conformement a la loi canadienne sur la protection de la vie privee, quelques formulaires secondaires ont ete enleves de cette these.Bien que ces formulaires aient inclus dans la pagination, il n'y aura aucun contenu manquant. were more effective at predicting MVC than driver-related criteria. Most experts weighted moose habitat as the most important factor influencing MVC. Local experts provided weightings that best represented MVC.The SRC and KIA suggested that habitat-based expert models were more closely associated with the logistic regression model using GIS data than were driver-based expert models. The logistic regression model was only a slightly better predictor of MVC when compared to the expert-based models. In many cases, empirical data may not be available for constructing logistic regression models, thus expert-based modeling can be used as a substitute for developing effective predictive models. Highway planning to reduce MVC risk within Mount Revelstoke and Glacier National Parks should begin by assessing landscape-scale models using both logistic regression and expert-based modeling. Furthermore, finer-scale models using logistic regression moose evidence and habitat models should be completed at high risk MVC locations previously identified by the landscape-scale analysis.