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ASU Electronic Theses and Dissertations


This collection includes most of the ASU Theses and Dissertations from 2011 to present. ASU Theses and Dissertations are available in downloadable PDF format; however, a small percentage of items are under embargo. Information about the dissertations/theses includes degree information, committee members, an abstract, supporting data or media.

In addition to the electronic theses found in the ASU Digital Repository, ASU Theses and Dissertations can be found in the ASU Library Catalog.

Dissertations and Theses granted by Arizona State University are archived and made available through a joint effort of the ASU Graduate College and the ASU Libraries. For more information or questions about this collection contact or visit the Digital Repository ETD Library Guide or contact the ASU Graduate College at gradformat@asu.edu.


Bicyclist and pedestrian safety is a growing concern in San Francisco, CA, especially given the increasing numbers of residents choosing to bike and walk. Sharing the roads with automobiles, these alternative road users are particularly vulnerable to sustain serious injuries. With this in mind, it is important to identify the factors that influence the severity of bicyclist and pedestrian injuries in automobile collisions. This study uses traffic collision data gathered from California Highway Patrol’s Statewide Integrated Traffic Records System (SWITRS) to predict the most important determinants of injury severity, given that a collision has occurred. Multivariate binomial logistic regression models …

Contributors
McIntyre, Andrew, Salon, Deborah, Kuby, Mike, et al.
Created Date
2016