基于改进TOPSIS法的区域道路交通安全评价
|
摘要
针对道路交通安全的复杂性,为有效提高我国区域道路交通安全水平,从道路交通事故视角出发,基于"人-车-道路-环境-管理"5个维度,将因子分析引入TOPSIS法,通过旋转矩阵建立区域交通安全评价指标体系,并客观确定评价指标权重,进一步提出了改进TOPSIS法的区域交通安全评价模型,以动态评价道路交通安全水平。最后基于2014—2016年国内26个区域道路交通事故的统计数据进行算例分析,对各区域道路交通安全进行评价和排序。研究结果表明,该方法适用于多维度统计数据下宏观评价道路交通安全水平,也便于分析区域范围影响道路交通安全的主要因素,具有较强的客观性和可操作性。
To improve road traffic safety,in view of complexity of road traffic safety effectively,an improved TOPSIS comprehensive evaluation model of road traffic safety based on factor analysis is established from " man-vehicle-road-environment-management" five dimensions,and the weight of each evaluation index is objectively determined through factor score coefficient matrix. A regional safety assessment model is proposed to improve the TOPSIS method,dynamic evaluate the road traffic safety.Finally,this method was applied to statistical data of road traffic accidents in 26 regions from 2014 to 2016 for case study. The results show that this method is suitable for comprehensive evaluation of road traffic safety on the macro perspective under mass data,and main factors influencing road traffic safety can be extracted.
To improve road traffic safety,in view of complexity of road traffic safety effectively,an improved TOPSIS comprehensive evaluation model of road traffic safety based on factor analysis is established from " man-vehicle-road-environment-management" five dimensions,and the weight of each evaluation index is objectively determined through factor score coefficient matrix. A regional safety assessment model is proposed to improve the TOPSIS method,dynamic evaluate the road traffic safety.Finally,this method was applied to statistical data of road traffic accidents in 26 regions from 2014 to 2016 for case study. The results show that this method is suitable for comprehensive evaluation of road traffic safety on the macro perspective under mass data,and main factors influencing road traffic safety can be extracted.
引文
[1]徐鑫.我国道路交通事故规律特点及预防对策分析[J].中国安全科学学报,2013,23(11):120-125.
[2]NGHIEM S,COMMANDEUR J J,CONNELLY L B.Determinants of road traffic safety:new evidence from Australia using state-space analysis[J].Accident Analysis&Prevention,2016(94):65-72.
[3]ANDEREASSON D C.Linking deaths with vehicles and population[J].Traffic Engineering&Control,1985,26(11):547-549.
[4]NAVIN F P D,BERGAN A,ZHANG G.Road safety model:some fundamental ideas[J].Transportation Research Record Journal of the Transportation Research Board,1996,1563(1):48-56.
[5]BAO Q,RUAN D,SHEN Y J,et al.Improved hierarchical fuzzy TOPSIS for road safety performance evaluation[J].Knowledge-Based Systems,2012,32(8):84-90.
[6]XIANG H K,JI W C.Research of early warning mechanism for traffic safety based on internet of things[J].Computer Simulation,2011,4(3):131-138.
[7]王薇,黄瑛,高宁波.基于模糊界定的道路交通安全评价模型[J].交通信息与安全,2013,31(5):87-92.
[8]周映雪,李明松.基于DEA的城市道路交通安全评价[J].武汉理工大学学报(交通科学与工程版),2012,36(4):757-760.
[9]周广振,简晓春,朱明明.基于改进层次分析法的高速公路交通安全评价[J].公路交通技术,2015(3):120-123.
[10]刘思思.城市四支平面信号控制交叉口交通安全服务水平研究[D].北京:北京交通大学,2011.
[11]HAJI G A.Towards a road safety development index(RSDI)development of an international index to measure road safety performance[Z].Sweden:Link9ping University Electronic Press,2005.
[12]李雪,赵宁,郑晅.基于云模型的道路交通安全等级评价[J].北京工业大学学报,2015(8):1219-1224.
[13]游克思,孙璐,顾文钧.变权综合评价法在山区道路安全评价中应用[J].系统工程,2010,28(5):85-88.
[14]范东凯,曹凯.基于主成分分析法的城市道路交通安全评价[J].中国安全科学学报,2010,20(10):147-151.
[15]陆卫东,尹彬,韦刚,等.基于熵权TOPSIS模型的煤矿安全现状评价[J].武汉理工大学学报(信息与管理工程版),2017,39(3):270-274.
[16]刘贵文,邓飞,王曼.中国建筑产业竞争力评价研究[J].土木工程学报,2011,44(7):157-164.
[2]NGHIEM S,COMMANDEUR J J,CONNELLY L B.Determinants of road traffic safety:new evidence from Australia using state-space analysis[J].Accident Analysis&Prevention,2016(94):65-72.
[3]ANDEREASSON D C.Linking deaths with vehicles and population[J].Traffic Engineering&Control,1985,26(11):547-549.
[4]NAVIN F P D,BERGAN A,ZHANG G.Road safety model:some fundamental ideas[J].Transportation Research Record Journal of the Transportation Research Board,1996,1563(1):48-56.
[5]BAO Q,RUAN D,SHEN Y J,et al.Improved hierarchical fuzzy TOPSIS for road safety performance evaluation[J].Knowledge-Based Systems,2012,32(8):84-90.
[6]XIANG H K,JI W C.Research of early warning mechanism for traffic safety based on internet of things[J].Computer Simulation,2011,4(3):131-138.
[7]王薇,黄瑛,高宁波.基于模糊界定的道路交通安全评价模型[J].交通信息与安全,2013,31(5):87-92.
[8]周映雪,李明松.基于DEA的城市道路交通安全评价[J].武汉理工大学学报(交通科学与工程版),2012,36(4):757-760.
[9]周广振,简晓春,朱明明.基于改进层次分析法的高速公路交通安全评价[J].公路交通技术,2015(3):120-123.
[10]刘思思.城市四支平面信号控制交叉口交通安全服务水平研究[D].北京:北京交通大学,2011.
[11]HAJI G A.Towards a road safety development index(RSDI)development of an international index to measure road safety performance[Z].Sweden:Link9ping University Electronic Press,2005.
[12]李雪,赵宁,郑晅.基于云模型的道路交通安全等级评价[J].北京工业大学学报,2015(8):1219-1224.
[13]游克思,孙璐,顾文钧.变权综合评价法在山区道路安全评价中应用[J].系统工程,2010,28(5):85-88.
[14]范东凯,曹凯.基于主成分分析法的城市道路交通安全评价[J].中国安全科学学报,2010,20(10):147-151.
[15]陆卫东,尹彬,韦刚,等.基于熵权TOPSIS模型的煤矿安全现状评价[J].武汉理工大学学报(信息与管理工程版),2017,39(3):270-274.
[16]刘贵文,邓飞,王曼.中国建筑产业竞争力评价研究[J].土木工程学报,2011,44(7):157-164.