Effects of risky bus driving behaviors on motorcyclists’ and car drivers’ traffic safety perceptions in mixed traffic flow

This study investigates traffic safety perceptions of motorcyclists and car drivers toward risky bus driving behaviors (RBDBs) in mixed traffic flow (MTF). The study identified 10 RBDBs and employed images in a unique questionnaire survey. Further, permutation tests were employed to compare perceptions of motorcyclists in scenarios involving bus-motorcycle-car flow and bus-motorcycle flow and to compare their perceptions to those of car drivers’. Moreover, heteroskedastic generalized ordered logit regression models were utilized to predict traffic safety perceptions of motorcyclists and car drivers toward RBDBs. High-speed bus driving is perceived as the most dangerous situation, while continuous flashing of lights at vehicles in front is perceived as the least dangerous. The permutation test revealed that motorcyclists tend to perceive RBDBs as less dangerous in bus-motorcycle flow than in mixed flow with cars, while car drivers consider them safer than motorcyclists. The regression model revealed that among the RBDBs, bus moving at high speeds, abruptly overtaking, abruptly changing lanes, and suddenly pulling over at bus stops are perceived as the most dangerous by motorcyclists and car drivers. The study also discusses the relationships between the socio-demographic characteristics of motorcyclists/car drivers and their safety perception toward RBDBs. These findings could inform the development of interventions to reduce RBDBs and improve traffic safety for motorcyclists and car drivers.

本研究针对混合交通流（Mixed Traffic Flow, MTF）环境下，摩托车骑手与汽车驾驶员对公交危险驾驶行为（Risky Bus Driving Behaviors, RBDBs）的交通安全感知展开调查。本研究共识别出10类公交危险驾驶行为，并在独具特色的问卷调查中采用图片辅助形式。进一步地，本研究采用排列检验（permutation tests），对比分析摩托车骑手在「公交-摩托车」及「公交-摩托车-汽车」两种交通流场景下的感知差异，并将其感知结果与汽车驾驶员的感知进行对比。此外，本研究采用异方差广义有序Logit回归模型（heteroskedastic generalized ordered logit regression models），对摩托车骑手与汽车驾驶员针对公交危险驾驶行为的交通安全感知进行预测。研究结果显示，公交高速行驶被认为是最危险的场景，而持续对前方车辆闪灯则被视为危险性最低的行为。排列检验结果表明，相较于含汽车的混合交通流场景，摩托车骑手在「公交-摩托车」交通流场景中会认为公交危险驾驶行为的危险性更低；而汽车驾驶员则认为此类行为的危险性低于摩托车骑手的感知结果。回归模型结果显示，在各类公交危险驾驶行为中，公交高速行驶、突然超车、突然变道以及在公交站点突然停靠，被摩托车骑手与汽车驾驶员共同认为是危险性最高的行为。本研究同时探讨了摩托车骑手与汽车驾驶员的社会人口统计学特征与其针对公交危险驾驶行为的安全感知之间的关联。本研究结果可为旨在减少公交危险驾驶行为、提升摩托车骑手与汽车驾驶员交通安全水平的干预措施开发提供参考依据。