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您的检索式：作者名="Essam Dabbour"
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| 1 | Using random-parameter and fixed-parameter ordered models to explore temporal stability in factors affecting drivers' injury severity in single-vehicle collisions显示文摘Understanding the temporal stability in the factors influencing drivers' injury severity in single-vehicle collisions would help evaluating the effectiveness of implementing different safety treatments so that researchers could understand whether any safety improvements,observed after applying a certain safety treatment, are attributed to the specific treatment or simply attributed to the temporal instability of the factors being addressed. This study investigates the temporal stability of the factors affecting drivers' injury severity in singlevehicle collisions involving light-duty vehicles. The study is based on utilizing ordinal regression modeling to analyze the severity of drivers' injuries in all police-reported lightduty single-vehicle collisions that occurred in North Carolina from January 1, 2007, to December 31, 2013. A separate regression model was estimated for each year so that statistical significance of each risk factor may be compared over the years. The study also estimated random-parameter(mixed) ordered logit models to explore the heterogeneity in data. The most significant factor that was found to increase the severity of drivers' injuries in light-duty single-vehicle collisions is driving under the influence of alcohol or illicit drugs. Other significant factors, in decreasing order in terms of their significance, include driving on a highway curve, exceeding speed limit, lighting conditions, the age of the driver, and the age of the vehicle. In contrast, there were six factors that were found to be significant in only some years and not in all years. These six temporally unstable factors include the use of seatbelt, driver's gender, rural highways, undivided highways, the type of the light-duty vehicle, and weather and road surface conditions. These same factors were found by other previous research studies to be significant and stable predictors of drivers' injury severity in single-vehicle collisions. | Essam Dabbour Murtaza Haider Eman Diaa | 2019 | Journal of Traffic and Transportation Engineering(English Edition)2019，6，2： | 1 |
| 2 | Investigating temporal trends in the explanatory variables related to the severity of drivers'injuries in single-vehicle collisions显示文摘This study identifies and quantifies the effects of different explanatory variables that increase the severity of drivers' injuries related to single-vehicle collisions involving lightduty vehicles.The research is based on utilizing logistic regression to analyze records of all traffic collisions that occurred in North Carolina for the years from 2007 to 2013.The study also investigates temporal stability of the identified explanatory variables throughout the analysis period.The identified explanatory variables include those related to the roadway,vehicle,driver,and environmental conditions.The explanatory variables related to the roadway include whether the roadway is divided or undivided,and whether it is in an urban or rural area.The explanatory variables related to the vehicle include vehicle's age,travel speed,and the type of the light-duty vehicle.The explanatory variables related to the driver include driver's age,gender,influence by alcohol or illicit drugs,and the use of seatbelt.The explanatory variables related to the environmental conditions include weather,lighting,and road surface conditions.Three of the investigated explanatory variables were found to be temporally unstable with significantly varying effects on the severity of drivers' injuries.Those temporally unstable variables include the travel speed,the type of the light-duty vehicle,and the age of the driver.All other investigated variables were found to be consistently significant throughout the analysis period.The findings of this research have the potential to help decision makers develop policies and countermeasures that reduce the severity of drivers' injuries by focusing on explanatory variables that consistently exhibit significant effects on the severity of drivers' injuries.The findings of this research also provide quantitative measures that may be used to determine the feasibility of implementing those countermeasures in reducing the severity of drivers' injuries related to single-vehicle collisions.Recommendations for future research are also provided. | Essam Dabbour | 2017 | Journal of Traffic and Transportation Engineering(English Edition)2017，4，1： | 0 |
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