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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

As urban populations rapidly increase in an era of climate change and multiple social and environmental uncertainties, scientists and governments are cultivating knowledge and solutions for the sustainable growth and maintenance of cities. Although substantial literature focuses on urban water resource management related to both human and ecological sustainability, few studies assess the unique role of waterway restorations to bridge anthropocentric and ecological concerns in urban environments. To address this gap, my study addressed if well-established sustainability principles are evoked during the nascent discourse of recently proposed urban waterway developments along over fifty miles of Arizona’s Salt River. In this …

Horvath, Veronica Nicole, White, Dave D, Mirumachi, Naho, et al.
Created Date

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 …

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