All Outputs (5)

Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances (2018)
Journal Article
Fountas, G., & Anastasopoulos, P. C. (2018). Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances. Analytic Methods in Accident Research, 20, 30-45

In accident injury-severity analysis, an inherent limitation of the traditional ordered probit approach arises from the a priori consideration of a homogeneous source for the accidents that result in a no-injury (or zero-injury) outcome. Conceptually... Read More about Analysis of accident injury-severity outcomes: The zero-inflated hierarchical ordered probit model with correlated disturbances.

Stationary and Time-Varying Factors Affecting Highway Accident Occurrence and Injury-Severity: Addressing Unobserved Heterogeneity with Alternate Random Parameters and Latent Class Models (2018)
Thesis
Fountas, G. Stationary and Time-Varying Factors Affecting Highway Accident Occurrence and Injury-Severity: Addressing Unobserved Heterogeneity with Alternate Random Parameters and Latent Class Models. (Thesis). University at Buffalo, The State University

In contemporary accident research, unobserved heterogeneity is recognized as one of the most challenging statistical modeling misspecification issues.Unobserved heterogeneity (i.e.,unobserved characteristics varying systematically across ob... Read More about Stationary and Time-Varying Factors Affecting Highway Accident Occurrence and Injury-Severity: Addressing Unobserved Heterogeneity with Alternate Random Parameters and Latent Class Models.

Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates (2018)
Journal Article
Fountas, G., Anastasopoulos, P. C., & Abdel-Aty, M. (2018). Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates. Analytic Methods in Accident Research, 18, 57-68. https://doi.org

This paper employs a correlated random parameters ordered probit modeling framework to explore time-variant and time-invariant factors affecting injury-severity outcomes in single-vehicle accidents. The proposed approach extends traditional random pa... Read More about Analysis of accident injury-severities using a correlated random parameters ordered probit approach with time variant covariates.

Analysis of vehicle accident-injury severities: A comparison of segment- versus accident-based latent class ordered probit models with class-probability functions (2018)
Journal Article
Fountas, G., Anastasopoulos, P. C., & Mannering, F. L. (2018). Analysis of vehicle accident-injury severities: A comparison of segment- versus accident-based latent class ordered probit models with class-probability functions. Analytic Methods in Accident

Using information from 1990 single-vehicle accidents that occurred between 2011 and 2013 in the state of Washington, the injury severity level of the most severely injured vehicle occupant is studied using two latent class modeling approaches: segmen... Read More about Analysis of vehicle accident-injury severities: A comparison of segment- versus accident-based latent class ordered probit models with class-probability functions.

Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach (2018)
Journal Article
Fountas, G., Sarwar, M. T., Anastasopoulos, P. C., Blatt, A., & Majka, K. (2018). Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach. Accident analysis and

Traditional accident analysis typically explores non-time-varying (stationary) factors that affect accident occurrence on roadway segments. However, the impact of time-varying (dynamic) factors is not thoroughly investigated. This paper seeks to simu... Read More about Analysis of stationary and dynamic factors affecting highway accident occurrence: A dynamic correlated grouped random parameters binary logit approach.