National Engineering Laboratory of Integrated Transportation Big Data Application Technology, Southwest Jiaotong University, Chengdu, Sichuan, China.
National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu, Sichuan, China.
PLoS One. 2019 Aug 13;14(8):e0221128. doi: 10.1371/journal.pone.0221128. eCollection 2019.
Egypt's National Road Project is a large infrastructure project which presently aims to upgrade 2500 kilometers of road networks as well as construct 4000 kilometers of new roads to meet today's need. This leads to an increase in the number of work zones on highways and therefore a rise in hazardous traffic conditions. This is why highways agencies are shifting towards night construction in order to reduce the adverse traffic impacts on the public. Although many studies have investigated work zone crashes, only a few studies provide comparative analysis of the difference between nighttime and daytime work zone crashes.
Data from Egyptian long-term highway work zone projects between 2010 and 2016 are studied with respect to the difference in injury severity between nighttime and daytime crashes by using separate mixed logit models.
The results indicate that significant differences exist between factors contributing to injury severity. Four variables are found significant only in the nighttime model and four other variables significant in the daytime model. The results show that older and male drivers, the number of lane closures, sidewise crashes, and rainy weather have opposite effects on injury severity in nighttime and daytime crashes. The findings presented in this paper could serve as an aid for transportation agencies in development of efficient measures to improve safety in work zones.
埃及国家道路项目是一个大型基础设施项目，目前旨在升级 2500 公里的道路网络，并建设 4000 公里的新路，以满足当今的需求。这导致高速公路工作区数量的增加，从而增加了危险的交通状况。这就是为什么公路管理局正在转向夜间施工，以减少对公众的不利交通影响。尽管许多研究都调查了工作区事故，但只有少数研究对夜间和白天工作区事故之间的差异进行了比较分析。
本研究使用单独的混合对数模型，研究了 2010 年至 2016 年埃及长期高速公路工作区项目的数据，以研究夜间和白天事故中伤害严重程度的差异。
结果表明，导致伤害严重程度的因素存在显著差异。有四个变量仅在夜间模型中显著，另外四个变量在日间模型中显著。结果表明，年龄较大和男性驾驶员、车道封闭数量、侧向碰撞和雨天对夜间和白天碰撞中伤害严重程度的影响相反。本文提出的研究结果可以为交通管理部门提供帮助，以制定有效的措施来改善工作区的安全。
