Outputs (3)

Statistical Assessment of Peer Opinions in Higher Education Rankings: The Case of U.S. Engineering Graduate Programs (2019)
Journal Article
Ghaisi, A., Fountas, G., Anastasopoulos, P., & Mannering, F. (2019). Statistical Assessment of Peer Opinions in Higher Education Rankings: The Case of U.S. Engineering Graduate Programs. Journal of Applied Research in Higher Education, 11(3), 481-492. https://doi.org/10.1108/JARHE-09-2018-0196

Unlike many other quantitative characteristics used to determine higher education rankings, opinion-based peer assessment scores, and the factors that may influence them, are not well understood. Using peer scores of U.S. colleges of engineering as r... Read More about Statistical Assessment of Peer Opinions in Higher Education Rankings: The Case of U.S. Engineering Graduate Programs.

A note on accounting for underlying injury-severity states in statistical modeling of injury accident data (2019)
Presentation / Conference Contribution
Fountas, G., & Rye, T. (2019, April). A note on accounting for underlying injury-severity states in statistical modeling of injury accident data. Presented at 10th International Conference on Ambient Systems, Networks and Technologies (ANT), Leuven, Belgium

This study provides an empirical analysis of the severity outcomes of injury accidents (i.e., accidents that resulted in an injury-involved outcome) by exploring the possibility of two underlying injury-severity states: the minor-injury state and the... Read More about A note on accounting for underlying injury-severity states in statistical modeling of injury accident data.

A Preliminary Investigation of the Effectiveness of High Visibility Enforcement Programs Using Naturalistic Driving Study Data: A Grouped Random Parameters Approach (2019)
Journal Article
Sonduru Pantangi, S., Fountas, G., Sarwar, M. T., Anastasopoulos, P. C., Blatt, A., Majka, K., Pierowicz, J., & Mohan, S. B. (2019). A Preliminary Investigation of the Effectiveness of High Visibility Enforcement Programs Using Naturalistic Driving Study Data: A Grouped Random Parameters Approach. Analytic Methods in Accident Research, 21, 1-12. https://doi.org/10.1016/j.amar.2018.10.003

This paper seeks to assess the effectiveness of high-visibility enforcement (HVE) programs in terms of reducing aggressive driving behavior. Using Strategic Highway Research Program 2 (SHRP2) Naturalistic driving study (NDS) data, behavioral reactio... Read More about A Preliminary Investigation of the Effectiveness of High Visibility Enforcement Programs Using Naturalistic Driving Study Data: A Grouped Random Parameters Approach.