Department of Technology and Society, Lund University, P.O. Box 118, Lund 22100, Sweden.
Accid Anal Prev. 2014 Sep;70:301-13. doi: 10.1016/j.aap.2014.04.009. Epub 2014 May 13.
This paper uses data from an observational study, conducted at access points in straight sections of primary roads in Malaysia in 2012, to investigate the effects of motorcyclists' behavior and road environment attributes on the occurrence of serious traffic conflicts involving motorcyclists entering primary roads via access points. In order to handle the unobserved heterogeneity in the small sample data size, this study applies mixed effects logistic regression with multilevel bootstrapping. Two statistically significant models (Model 2 and Model 3) are produced, with 2 levels of random effect parameters, i.e. motorcyclists' attributes and behavior at Level 1, and road environment attributes at Level 2. Among all the road environment attributes tested, the traffic volume and the speed limit are found to be statistically significant, only contributing to 26-29% of the variations affecting the traffic conflict outcome. The implication is that 71-74% of the unmeasured or undescribed attributes and behavior of motorcyclists still have an importance in predicting the outcome: a serious traffic conflict. As for the fixed effect parameters, both models show that the risk of motorcyclists being involved in a serious traffic conflict is 2-4 times more likely if they accept a shorter gap to a single approaching vehicle (time lag <4s) and in between two vehicles (time gap <4s) when entering the primary road from the access point. A road environment factor, such as a narrow lane (seen in Model 2), and a behavioral factor, such as stopping at the stop line (seen in Model 3), also influence the occurrence of a serious traffic conflict compared to those entering into a wider lane road and without stopping at the stop line, respectively. A discussion of the possible reasons for this seemingly strange result, including a recommendation for further research, concludes the paper.
本文利用 2012 年在马来西亚主要道路直线路段的接入点进行的观察性研究的数据,调查了摩托车手行为和道路环境属性对涉及摩托车手通过接入点进入主要道路的严重交通冲突发生的影响。为了处理小样本数据量中未观察到的异质性,本研究应用了具有多层次引导的混合效应逻辑回归。生成了两个具有统计学意义的模型(模型 2 和模型 3),具有 2 个随机效应参数水平,即一级的摩托车手属性和行为,以及二级的道路环境属性。在所测试的所有道路环境属性中,交通量和限速被发现具有统计学意义,仅占影响交通冲突结果的变化的 26-29%。这意味着 71-74%的未测量或未描述的摩托车手属性和行为在预测结果方面仍然很重要:严重的交通冲突。对于固定效应参数,两个模型都表明,如果摩托车手接受更短的与单一接近车辆(时间滞后<4 秒)和两辆车之间(时间间隔<4 秒)的间隙进入主路从接入点,他们卷入严重交通冲突的风险是 2-4 倍。与进入更宽车道而不停在停车线的情况相比,道路环境因素(如模型 2 中的狭窄车道)和行为因素(如在停车线前停车,模型 3 中可见)也会影响严重交通冲突的发生。本文讨论了这种看似奇怪结果的可能原因,包括对进一步研究的建议,以此作为结论。