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从强化事故预防,切实保障劳动生产中受伤害职工的合法权益入手,着重对工伤保险与事故预防结合运作管理机制进行了探讨。     

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论述了重大危险源和重大事故隐患的定义;介绍了易燃、易爆、有毒重大危险源评价方法;在辨识评价的基础上,提出了制定重大危险源事故应急计划,加强监控、管理等措施     

事故预测模型及应用研究

综合运用多种模型对企业货运事故预测进行了讨论，并根据一组实际数据对模型运用及检验进行了分析。     

重大危险源控制技术研究现状及若干问题探讨

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应用事故致因理论，探讨机车车辆伤害事故的本质，研究机车车辆伤害事故的发生规律及成因模型，提出预防机车车辆伤害事故的对策。     

硝铵炸药生产中的事故防范

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德国工伤保险事故预防机制评介

工伤保险事故预防机制就是工伤保险制度中促进预防工伤事故和职业病的一系列的措施和办法。笔者从管理、经济、法律、技术、心理5个方面具体分析德国工伤保险事故预防机制的具体特点,其中,对管理方面的上层管理机构、研究机构、培训机构、监督机构的设置及其人员配置、企业内部的劳动安全机构及其人员配备进行了研讨;以经济途径为重点从工伤保险费的征收与支出两方面进行了评介;在安全技术方面着重对管理内容即监督事故的隐患、咨询、进行职业病预防、监测与调查、产品安全标准鉴定等进行了介绍;简述了心理方面所开展的安全宣传、教育和培训工作以及相关法律手段。综合分析了工伤保险事故预防机制的形成和运作方式,对其成功经验进行了总结。     

基于TCT的平面交叉口安全评价方法研究

事故率法是评价平面交叉口交通安全水平常用的方法之一,但因其存在基于事故统计方法固有的因事故的稀有性而使评价周期过长、因事故统计的不完全性致使评价结论欠真、缺乏事故严重性程度的考虑等缺点。笔者针对事故率法评价交叉口安全水平存在的上述问题,在概要介绍交通冲突技术并对交通冲突技术的有效性进行分析的基础上,提出了使事故率法与交通冲突技术相结合,用交通冲突代替交通事故改善交叉口事故率法的理论设想。进而,结合质量控制法,研究了同类型交叉口的交通冲突率的临界值的确定,提出了基于交通冲突技术和交叉口交通冲突率的评价方法。     

道路交通安全知识提取方法及其递进式模型的研究

道路交通数据资源日益膨胀和复杂化 ,已经远远超出了人脑的记忆和分析能力。面对道路交通的海量数据 ,传统运用的DBMS和OLTP技术 ,已无法发现隐藏在数据背后的关系、规则和发展趋势等新的内容、知识和信息。因此 ,建立基于DMKD的智能道路交通安全决策支持系统是相关部门急需解决的重大课题。笔者重点介绍了数据挖掘、知识发现的概念 ,提出了基于DW +OLAP +DMKD的道路交通安全决策支持系统 ,通过道路交通系统的要素分析 ,介绍了一种面向属性的粗糙集方法提取规则 ,并阐述了一种递进式规则评价提炼过程。     

Explorative spatial analysis of traffic accident statistics and road mortality among the provinces of Turkey

Introduction

The aim of the study is to describe the inter-province differences in traffic accidents and mortality on roads of Turkey.

Method

Two different risk indicators were used to evaluate the road safety performance of the provinces in Turkey. These indicators are the ratios between the number of persons killed in road traffic accidents (1) and the number of accidents (2) (nominators) and their exposure to traffic risk (denominator). Population and the number of registered motor vehicles in the provinces were used as denominators individually. Spatial analyses were performed to the mean annual rate of deaths and to the number of fatal accidents that were calculated for the period of 2001-2006. Empirical Bayes smoothing was used to remove background noise from the raw death and accident rates because of the sparsely populated provinces and small number of accident and death rates of provinces. Global and local spatial autocorrelation analyses were performed to show whether the provinces with high rates of deaths-accidents show clustering or are located closer by chance. The spatial distribution of provinces with high rates of deaths and accidents was nonrandom and detected as clustered with significance of P < 0.05 with spatial autocorrelation analyses.

Results

Regions with high concentration of fatal accidents and deaths were located in the provinces that contain the roads connecting the Istanbul, Ankara, and Antalya provinces. Accident and death rates were also modeled with some independent variables such as number of motor vehicles, length of roads, and so forth using geographically weighted regression analysis with forward step-wise elimination. The level of statistical significance was taken as P < 0.05. Large differences were found between the rates of deaths and accidents according to denominators in the provinces. The geographically weighted regression analyses did significantly better predictions for both accident rates and death rates than did ordinary least regressions, as indicated by adjusted R² values. Geographically weighted regression provided values of 0.89-0.99 adjusted R² for death and accident rates, compared with 0.88-0.95, respectively, by ordinary least regressions.

Impact on industry

Geographically weighted regression has the potential to reveal local patterns in the spatial distribution of rates, which would be ignored by the ordinary least regression approach. The application of spatial analysis and modeling of accident statistics and death rates at provincial level in Turkey will help to identification of provinces with outstandingly high accident and death rates. This could help more efficient road safety management in Turkey.