Date of Award
2012-01-01
Degree Name
Doctor of Philosophy
Department
Civil Engineering
Advisor(s)
Salvador Hernandez
Abstract
This research aims to analyze large-truck involved crashes (i.e., having a gross vehicle weight rating more than 10,000 pounds) through the application of advanced econometric modeling techniques--namely, random parameter models (i.e., tobit regression, mixed logit). To achieve this, various national and state specific data sets are analyzed with the goal to provide an improved understanding of the complex interactions of contributing factors (e.g., factors related to drivers and occupants, vehicle, and road-environment) influencing large-truck crashes. Additionally, the modeling techniques considered in this research account for possible unobserved effects related to the data. The aforementioned econometric techniques provide an analytical foundation for exploring the contributing factors leading to large-truck involved crashes.
Language
en
Provenance
Received from ProQuest
Copyright Date
2012
File Size
237 pages
File Format
application/pdf
Rights Holder
Mouyid Islam
Recommended Citation
Islam, Mouyid, "Modeling Large-Truck Involved Crashes: An Econometric Modeling Framework" (2012). Open Access Theses & Dissertations. 1845.
https://scholarworks.utep.edu/open_etd/1845