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作 者:王连震[1] 陈旭琦 杜亚北 张国立 代磊磊 程国柱 WANG Lianzhen;CHEN Xuqi;DU Yangbei;ZHANG Guoli;DAI Leilei;CHENG Guozhu(School of Civil Engineering and Transportation,Northeast Forestry University,Harbin 150040,China;Traffic Management Bureau of the Public Security,Department of the Inner Mongolia Autonomous Region,Hohhot 010000,China)
机构地区:[1]东北林业大学土木与交通学院,黑龙江哈尔滨150040 [2]内蒙古自治区公安厅交通管理局,内蒙古自治区呼和浩特010000
出 处:《大连交通大学学报》2025年第2期19-26,共8页Journal of Dalian Jiaotong University
基 金:中央高校基本科研业务费专项(2572023CT21);黑龙江省自然科学基金项目(LH2019E007);国家自然科学基金青年科学基金项目(71701041);公安部公安理论及软科学计划项目(2022LL05)。
摘 要:为了量化评估货车驾驶人驾驶行为风险,通过驾驶行为调查问卷,使用因子分析法(FA)降维构建驾驶行为风险评估指标体系,并结合最优最劣法(BWM)主客观组合赋权确定了各指标的权重,完成货车驾驶人驾驶行为风险评估模型的构建。根据k-means聚类分析和德尔菲法确立驾驶行为风险评估等级阈值并划分为安全型、普通型、危险型,对不同货车驾驶人群体进行驾驶风险评估。研究结果显示,安全型、普通型、危险型驾驶人分别占比51.9%,36.7%,11.4%。年轻驾驶人、日均驾驶时间久、日均睡眠时间少、月均收入少的货车驾驶人群体的驾驶行为风险较高,证明了该评估模型的有效性。To assess accurately the driving behavior risk of truck drivers,a driving behavior risk assessment in-dex system was constructed using a driving behavior questionnaire and factor analysis(FA)for dimensionality reduction.The weights of each index were determined using the best-worst method(BWM),a combination of subjective and objective measures,to complete the construction of a driving behavior risk assessment model for truck drivers.k-means cluster analysis and the Delphi method were applied to establish risk assessment level thresholds of driving behaviors,which were then categorized into safe,ordinary and dangerous types.The driving risk assessments were conducted for different groups of truck drivers.Results show that safe,ordinary,and dangerous drivers account for 51.9%,36.7%and 11.4%respectively.Moreover,the assessment model yielded higher driving behavior risks in younger drivers with longer average daily driving time,less average daily sleep time and lower average monthly income,indicating the reasonable validity of the assessment model.
关 键 词:交通安全 驾驶行为评价 FA-BWM 驾驶行为问卷 货车驾驶人
分 类 号:U491.31[交通运输工程—交通运输规划与管理]
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