快速公交共享专用道行车风险因素研究  

Research on Risk Factors of Driving in Shared BRT Lanes

作　　者：陈修叡 徐良杰[1] CHEN Xiurui;XU Liangjie(School of Transportation and Logistics Engineering,Wuhan University of Technology,Wuhan 430063,China;不详)

机构地区：[1]武汉理工大学交通与物流工程学院,湖北武汉430063

出　　处：《武汉理工大学学报(信息与管理工程版)》2025年第1期7-13,共7页Journal of Wuhan University of Technology:Information & Management Engineering

摘　　要：部分城市已针对快速公交实施共享专用道策略,考虑到专用道内部运行环境与常规道路存在差异,建立Fuzzy-DEMATEL-AISM模型对共享专用道内部行车风险进行评估。首先,开展文献调研,考虑共享专用道场景特点归纳形成行车风险因素集;其次,在决策试验和评价实验室法(DEMATEL)的基础上引入模糊理论(Fuzzy),并结合对抗性结构解释模型(AISM)对风险因素进行评估,结果表明行车速度、前车行为是影响行车风险的直接原因,公交发车频率、驾驶员风格等则为根本原因;最后,根据研究结果提出针对性的建议措施,为提高共享专用道安全性提供有效思路。Some cities have implemented the shared lane strategy for BRT.Considering the differences between the internal operating environment of dedicated lanes and conventional roads,a Fuzzy-DEMATEL-AISM model to assess the driving risk inside shared lanes was established.Firstly,extensive literature research was carried out,and the set of driving risk factors was summarized considering the scenario characteristics of shared lanes.Secondly,based on the Decision Making Experiment and Evaluation Laboratory Method(DEMATEL),Fuzzy Theory(Fuzzy)and Adversarial Structural Interpretation Model(AISM)were introduced to evaluate the risk factors,and the results showed that:the speed of traffic and the behavior of the vehicle in front of the vehicle are the direct causes of the traffic risk,while the frequency of public transportation and the style of the driver are the root causes.Finally,based on the results of the study,targeted suggested measures were proposed to provide effective ideas for improving the safety of shared lanes.

关 键 词：快速公交 共享专用道 行车安全 行车风险评估 Fuzzy-DEMATEL-AISM 

分 类 号：U492.8[交通运输工程—交通运输规划与管理]