School of Engineering Cassie Building, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.
J Safety Res. 2018 Dec;67:83-91. doi: 10.1016/j.jsr.2018.09.004. Epub 2018 Sep 25.
In general, priority junctions are converted into roundabouts to increase capacity and reduce vehicle accidents. However, previous research has indicated that roundabouts are dangerous for vulnerable users, especially cyclists.
This paper investigates which design factors influence cyclist casualty severity at give way (non-signalized) roundabouts with mixed traffic, using the UK STATS19 National dataset of cyclist casualties. First, the correlation matrix was generated to observe the relationship between variables. Second, dimension reduction was applied to geometric design variables in order to reduce the number of variables and generate the factors. Finally, the binary logistic regression method, with serious and slight casualties as dependent variables, was applied in three steps. The first Binary Logistic Regression Model (BLRM) included speed limit, sociodemographic, and meteorological conditions. The variables in the second BLRM consisted of geometric design variables. The third BLRM included the factors that were generated by dimension reduction.
The correlation matrix revealed that the number of lanes on approach and half width on approach were statistically significantly correlated, while the variables, such as geometric design (entry path radius, number of arms, number of flare lanes on approach, type of roundabout and number of circulating lanes), sociodemographic (casualty gender and age), speed limit and meteorologically related factors (daylight, weather and road surface condition), did not show any statistical significance. From the dimension reduction process, two main factors were identified, including Approach Capacity (Factor 1) and Size of Roundabout (Factor 2), and they were subsequently used as independent variables in the logistic regression analysis. The subsequent BLRMs showed that a higher speed limit reduces the safety for cyclists at roundabouts. The probability of a serious casualty increases by approximately five times (odds ratio 4.97) for each additional number of lanes on approach and by 4% (odds ratio 1.04) with a higher entry path radius. It was also found that Factor 2 (Approach Capacity) increases the casualty severity (odds ratio 1.86) for cyclists at roundabouts. Practical applications: While this research studied roundabouts in the UK, the methodological approach and statistical analysis techniques are applicable to other countries and the findings are likely to be of value to decision makers worldwide.
一般来说,优先交叉口会被改造成环岛以增加容量并减少车辆事故。然而,先前的研究表明,环岛对弱势用户(尤其是骑自行车的人)来说是危险的。
本文使用英国 STATS19 国家自行车事故伤亡数据集,研究了在混合交通的让行(无信号)环岛中哪些设计因素会影响自行车事故伤亡的严重程度。首先,生成相关矩阵以观察变量之间的关系。其次,对几何设计变量进行降维,以减少变量数量并生成因素。最后,应用二元逻辑回归方法,将严重和轻微伤害作为因变量,分三步进行。第一步二元逻辑回归模型(BLRM)包括限速、社会人口统计学和气象条件。第二步 BLRM 中的变量包括几何设计变量。第三步 BLRM 包括降维生成的因素。
相关矩阵显示,接近处的车道数和接近处的半宽在统计上呈显著相关,而几何设计变量(入口路径半径、臂数、接近处的扩宽车道数、环岛类型和环行车道数)、社会人口统计学变量(伤者性别和年龄)、限速以及与气象相关的因素(白天、天气和路面状况)均没有表现出任何统计学意义。从降维过程中,确定了两个主要因素,包括接近处的通行能力(因素 1)和环岛的大小(因素 2),并将它们作为逻辑回归分析的自变量。随后的 BLRMs 表明,限速越高,自行车在环岛的安全性越低。接近处的车道数每增加一个,自行车事故的严重程度就会增加约五倍(优势比 4.97),入口路径半径每增加一个,自行车事故的严重程度就会增加 4%(优势比 1.04)。还发现,因素 2(接近处的通行能力)会增加自行车在环岛事故中的伤害严重程度(优势比 1.86)。
虽然本研究针对的是英国的环岛,但研究方法和统计分析技术适用于其他国家,研究结果可能对全球决策者具有重要价值。