Carrel Earns Eric Pas Dissertation Prize Honorable Mention

ITS alumnus Andre Carrel’s dissertation (’15) has been awarded one of two Honorable Mentions in the 2015 Eric Pas Dissertation Prize competition from a field of 19 nominations by the International Association for Travel Behaviour Research.

Carrel was especially commended on his combined contributions of sophisticated data collection methodology and the practical application of his approach for transit agencies for his dissertation titled “Traveler Satisfaction Surveys meet Mobile Phone and Vehicle Tracking: Linking Individual Experiences to Travel Habit Changes with Panel Data.”

The Eric Pas Dissertation Prize is awarded annually to the individual who is judged as submitting the dissertation that makes the greatest impact among all dissertations nominated for the prize in any given year. Award of the prize signals the arrival of exceptional new talent in the field. The award is named in honor of Eric I Pas, a leading travel behaviour researcher, who passed away in November 1997. In addition to the Prize, the Association often awards Honorable Mentions in recognition of the very high quality submissions received every year.

Carrel will be presented with a certificate at the business meeting of IATBR, held in conjunction with the Annual Meeting of the Transportation Research on Tuesday, Jan. 10, 2017, 6 - 7:30 p.m.

Award winners are also invited to present their research at a special session of the next IATBR triennial conference in Santa Barbara, California, July 15-20, 2018. 

Carrel is currently an Assistant Professor of Civil, Environmental and Geodetic Engineering at the Ohio State University. His research is focused on the acquisition and statistical analysis of large-scale data sets from emerging sources for the planning, design, operations, and monitoring of freight, logistics, and passenger transportation systems and infrastructure. His expertise includes the use of automated sensing systems, mobile phones, and cloud-based computational systems to measure and influence consumer choices and optimize levels of service in transportation or supply chain operations.