Faculty and Staff

Presentation slides regarding the history of Victory Village, the trailer park built in 1945-46 to provide housing for WWII Veterans and their families at Arizona State University's Tempe campus. A presentation of research from University Archives records conducted in the summer of 2018. The presentation was videotaped as a lecture for Professor Volker Benkert's online World War II history class.

Historical research produced for a portion of the exhibit entitled Civil Rights in Arizona, which was displayed at the Luhrs Gallery, Hayden Library in 2012-2013. The action at the ROTC Building was one of the largest protests in Arizona State University history, resulting in the arrest of ten individuals. The second file, entitled "Who Were the Tempe Ten?", describes the arrested students and unaffiliated persons.

Accessibility is increasingly used as a metric when evaluating changes to public transport systems. Transit travel times contain variation depending on when one departs relative to when a transit vehicle arrives, and how well transfers are coordinated given a particular timetable. In addition, there is necessarily uncertainty in the value of the accessibility metric during sketch planning processes, due to scenarios which are underspecified because detailed schedule information is not yet available. This article presents a method to extend the concept of "reliable" accessibility to transit to address the first issue, and create confidence intervals and hypothesis tests to address the second.

There is a need for indicators of transportation-land use system quality that are understandable to a wide range of stakeholders, and which can provide immediate feedback on the quality of interactively designed scenarios. Location-based accessibility indicators are promising candidates, but indicator values can vary strongly depending on time of day and transfer wait times. Capturing this variation increases complexity, slowing down calculations. We present new methods for rapid yet rigorous computation of accessibility metrics, allowing immediate feedback during early-stage transit planning, while being rigorous enough for final analyses. Our approach is statistical, characterizing the uncertainty and variability in accessibility metrics due to differences in departure time and headway-based scenario specification. The analysis is carried out on a detailed multi-modal network model including both public transportation and streets. Land use data are represented at high resolution. These methods have been implemented as open-source software running on commodity cloud infrastructure. Networks are constructed from standard open data sources, and scenarios are built in a map-based web interface. We conclude with a case study, describing how these methods were applied in a long-term transportation planning process for metropolitan Amsterdam.