Department of Civil Engineering-Transport, Technical University of Madrid (UPM), C/Profesor Aranguren s/n, 28040 Madrid, Spain.
Accid Anal Prev. 2010 Nov;42(6):2018-23. doi: 10.1016/j.aap.2010.06.012.
Crash records and roadside data from Spanish two-lane rural roads were analyzed to study the effect of roadside configuration on safety. Four indicators were used to characterize the main roadside features that have an influence on the consequences of roadway departures: roadside slope, non-traversable obstacles distance from the roadway edge, safety barrier installation, and alignment. Based on the analysis of the effect of roadside configuration on the frequency and severity of run-off-road injury crashes, a categorical roadside hazardousness scale was defined. Cluster analysis was applied to group the combinations of the four indicators into categories with homogeneous effects on run-off-road injury crashes frequency and severity. As a result a 5-level Roadside Hazardousness Index (RHI) was defined. RHI can be used as reference to normalize the collection of roadside safety related information. The index can also be used as variable for inclusion of roadside condition information in multivariate crash prediction models.
分析了西班牙双车道农村道路的碰撞记录和路边数据，以研究路边配置对道路偏离安全性的影响。使用了四个指标来描述对道路偏离后果有影响的主要路边特征：路边坡度、非可穿越障碍物距道路边缘的距离、安全设施的安装和道路线形。基于对路边配置对驶出道路事故频率和严重程度影响的分析，定义了一个分类路边危险程度量表。应用聚类分析将四个指标的组合分为对驶出道路事故频率和严重程度具有相同影响的类别。结果定义了一个 5 级路边危险指数（RHI）。RHI 可作为参考，对路边安全相关信息进行标准化收集。该指数还可作为变量，将路边条件信息纳入多元碰撞预测模型。
