Endogenous commercial driver’s traffic violations and freight truck-involved crashes on mainlines of expressway
- Title
- Endogenous commercial driver’s traffic violations and freight truck-involved crashes on mainlines of expressway
- Author
- 박준영
- Keywords
- Freight truck-involved crash; Two-stage residual inclusion; Expressway; Traffic violation; Endogeneity
- Issue Date
- 2019-10
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Citation
- ACCIDENT ANALYSIS AND PREVENTION, v. 131, Page. 327-335
- Abstract
- Freight truck-involved crashes result in a high mortality rate and significantly impact logistic costs; therefore, many researchers have analyzed the causes of truck-involved traffic crashes. In the existing literature, it was found that truck-involved crashes are affected by factors such as road geometry, weather, driver and vehicle characteristics, and traffic volume based on a variety of statistical methodologies; however, the endogenous impact resulting from driver traffic violation has not been considered. The goal of the study is to discover the factors influencing freight vehicle crashes and develop more accurate crash probability estimation by explaining the endogenous driver traffic violations. To achieve the purpose of this study, we applied the two-stage residual inclusion (2SRI) approach, a methodology used in the nonlinear regression analysis model for capturing the endogeneity issue. This method improves the accuracy of the model by capturing the unobserved effects of driver traffic violations. From the results, traffic violations were identified to be influenced by the driver's physical condition, as well as driver and vehicle characteristics. Furthermore, variables of driver traffic violations such as improper passing, speeding, and safe distance violation were found to be endogenous in the probability model of freight truck crashes on expressway mainlines.
- URI
- https://www.sciencedirect.com/science/article/pii/S0001457518304263https://repository.hanyang.ac.kr/handle/20.500.11754/121281
- ISSN
- 0001-4575; 1879-2057
- DOI
- 10.1016/j.aap.2019.07.026
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > TRANSPORTATION AND LOGISTICS ENGINEERING(교통·물류공학과) > Articles
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