Fatal injuries among Hispanic workers in the U.S. construction industry: Findings from FACE investigation reports

IntroductionIdentifying and understanding the characteristics of workplace accidents can provide vital information required to clarify their causes and prevent similar accidents from happening in the future. The Hispanic workforce represents a significant segment of the U.S. construction labor force that is projected to continue increasing in population. The government statistical data show higher rates of fatalities among Hispanic workers when compared to other ethnic groups.MethodThis study aims to provide details about the trends of fatal injuries among Hispanic workers. The study examined 92 government investigation reports to reveal the general trends, then an examination of fatal fall injuries within the study sample was conducted since falling is the predominant cause of fatal injuries.ResultsThe findings suggest differences in accident characteristics between Hispanic workers and all workers, which could indicate a need for different interventions to improve the overall site safety. The study also revealed the dire need to propose revised investigation procedures that would help identify the root causes of accidents, which in turn leads to better recommendations and interventions.     

Visibility-related fatalities related to construction equipment

The construction industry annually experiences one of the highest fatality rates among the industrial sectors in the United States. The factors that contribute to this reputation include the nature of the work, human behavior, the tools and equipment involved, and also the compact work zones. Industrial fatalities are investigated by the Occupational Safety and Health Administration (OSHA). While OSHA groups the causes of fatalities into a few general categories, too little information is gleaned to effectively target specific problem areas.To improve safety performance in the construction industry, it is necessary to understand the underlying causes of accidents. With targeted analysis, patterns emerge and causal factors can be identified. These findings may then be used to form the basis for recommendations that will help to improve construction worker safety. Little research has been conducted in this area.Research was conducted that isolated fatalities in which vision or lack of good visibility was the principle factor or contributing cause. The objective of examining the details surrounding these fatalities was to uncover the contributing factors and to identify the agents that compromised visibility. The study identified 659 fatality accidents from a data pool of 13511 OSHA-investigated cases. It was discovered that blind spots, obstructions and lighting conditions were the most common factors contributing to vision-related fatalities. This research also analyzed the specific conditions associated with particular pieces of construction equipment.     

重特大事故的离散幂律分布——以煤矿事故为例

研究近年来我国每起煤矿重大和特别重大事故死亡人数统计数据,建立其概率分布模型。基于极大似然法和柯尔莫哥洛夫一斯米尔诺夫检验方法（K-S方法）估计我国煤矿重大和特别重大事故离散幂律分布的参数,并采用MonteCarlo方法随机生成大量的检验样本,对其进行K-S方法拟合优度检验。结果表明在统计学意义上我国煤矿重大和特别重大事故死亡人数比高斯分布的值大得多,服从标度指数为2．72的离散幂律分布。     

Worker safety and injury severity analysis of earthmoving equipment accidents

Introduction: Research on construction worker safety associated with construction equipment has mostly focused on accident type rather than injury severity and the embedded factor relationships. Significant variables and their effects on the degree of injury are examined for earthmoving equipment using data from OSHA. Four types of equipment, backhoe, bulldozer, excavator, and scraper are included in the study. Accidents involving on-foot workers and equipment operators are investigated collectively, as well as separately. Methods: Cross tabulation analysis was conducted to establish the associations between selected categorical variables, using degree of injury as a dichotomous dependent variable (fatal vs. nonfatal) and a number of independent variables having different values. Odds ratios were calculated to determine how much a certain variable/factor increases the odds of fatality in an accident, and the odds ratios were ranked to determine the relative impact of a given factor. Results: It was found that twelve variables were significantly associated with injury severity. Rankings based on odds ratios showed that inadequate safety training (2.54), missing equipment protective system (2.38), being a non-union worker (2.26), being an equipment operator (1.93), and being on or around inadequately maintained equipment (1.58) produced higher odds for fatality. Conclusion: A majority of the earthmoving equipment accidents resulted in fatality. Backhoes were the most common equipment involved in accidents and fatalities. Struck-by accidents were the most prevalent and most fatal. Non-OSHA compliant safety training, missing seatbelt, operator not using seatbelt, malfunctioning back-up alarms, and poorly maintained equipment were factors contributing to accidents and fatalities. On-foot workers experienced a higher number of accidents than operators, while fatality odds were higher for the operators. Practical applications: Safety professionals should benefit from our findings in planning and delivering training and providing oversight to workers in earthmoving equipment operations.     

Development of a relative risk model for roof and side fall fatal accidents in underground coal mines in India

A relative risk model for roof and side fall fatal accidents was developed using loglinear analysis of two-way contingency table. A few statistics such as potential fatalities (PF), relative risk of fatalities (RRF) and safety measure effectiveness (SME) were derived which can be used as key safety performance indicators of roof and side fall accidents in underground mines. The model was applied to large roof and side fall fatal accident data for a period of 6-years occurred in six companies involving 292 underground coal mines. The application reveals that effectiveness of safety measures across different locations in underground mines varies and focus is mainly concentrated in highly populated workplaces such as face. The model and the statistics developed in this study are generic and can be applied to any industrial setting.     

The relationship of beer consumption and state alcohol and motor vehicle policies to fatal accidents

Fatal accident data from 50 states and the District of Columbia were examined in order to determine the relationship between alcohol availability and fatal motor vehicle accidents. This relationship was analyzed for both fatal accidents and motor vehicle fatalities (potentially more than one per accident) using multiple regression. The independent variables were: (1) driving age (percent of drivers under 21); (2) beverage purchase age; (3) average beer consumption; (4) number of outlets per million population selling alcohol for on-premise consumption; (5) percentage of metropolitan residents; (6) percentage of male drivers; and (7) mileage per driver per year. It was found that the regression analyses for fatal accidents and for fatalities were highly similar. Driving age was the strongest predictor of highway mortality. On-premise availability of alcohol was significantly and inversely associated with motor vehicle fatalities. This suggests that when on-premise outlets are fewer and more geographically spread out, the chances of drinking and driving are greater. Finally, average beer consumption was significantly and positively associated with highway fatalities perhaps because many drivers consider it a “soft” alcoholic beverage that will not impair their ability to drive.     

Shipyard fatalities in Turkey

The objective of this paper is to investigate causes and incidence rates of 115 fatalities between 2000 and 2010 in Turkish shipyards and to propose mitigation measures. The fatality rate in Turkish shipbuilding industry is unacceptably high, being 3.5 times the average of all industry groups. Classification of fatal occupational accidents revealed five major fatality reasons for the shipbuilding industry; falling from higher elevation to a lower level, exposed to electric shock, fire and/or explosion, being struck by or struck against objects, and caught in between. The highest number of cases of fatal accidents was found among welders, blasters, painters and substructure workers. Statistically analyzed data showed that working on Mondays and Saturdays have special impact on the fatality probability. Also, the number of fatalities is highest in working temperatures above average 25 °C, which covers from June through September. Strategies recommended to minimize the fatalities at shipyards are discussed. Furthermore a risk framework of fatal occupational accidents were drawn so that when working conditions are within the high risk region, extra precautions can be taken in order to minimize the occurrence of accidents and fatalities.     

Occupational electrical injuries in the United States, 1992-1998, and recommendations for safety research

PROBLEM: CFOI and SOII data show that 2,287 U.S. workers died and 32,807 workers sustained days away from work due to electrical shock or electrical burn injuries between 1992 and 1998. METHOD: The narrative, work activity, job title, source of injury, location, and industry for each fatal electrical accident were examined. A primary causal factor was identified for each fatality. RESULTS: Electrical fatalities were categorized into five major groups. Overall, 44% of electrical fatalities occurred in the construction industry. Contact with overhead power lines caused 41% of all electrical fatalities. DISCUSSION: Electrical shock caused 99% of fatal and 62% of nonfatal electrical accidents. Comprising about 7% of the U.S. workforce, construction workers sustain 44% of electrical fatalities. Power line contact by mobile equipment occurs in many industries and should be the subject of focused research. Other problem areas are identified and opportunities for research are proposed. IMPACT ON INDUSTRY: Improvements in electrical safety in one industry often have application in other industries.     

建筑安全风险因素分级排序的风险矩阵法

为减少风险分级排序时产生的风险结,在引入施工安全事故频率的基础上,采用单元格细化和Borda序值法改进原有的风险矩阵法。改进后的方法使得风险等级数量增加,风险结数量减少。将该方法应用于脚手架工程的风险因素的分级与排序,风险等级分为6级,且实现了12个因素的明确排序。     

Factors associated with fatal accident involvement among California drivers

The primary objectives of this study were to examine characteristics of drivers involved in fatal accidents and to determine if those drivers could be distinguished from California's general driving population on the basis of prior driving record. A sample of drivers involved in 1970–1971 fatal accidents was analyzed and compared to a sample of drivers from the general driving population during the same time period. Drivers who had been drinking prior to the accident, who were considered at-fault for the accident, or whose accident occurred at night were found to have worse prior driving records than other fatal accident-involved drivers. The results also indicated that, as a whole, drivers involved in fatal accidents had worse violation and/or accident records, as well as different demographic and license characteristics than drivers in the general population. The classification functions derived to predict fatal accidents, however, did not differ greatly from regression equations that have been constructed to predict total accidents. It was therefore concluded that prediction systems keyed to total accidents will, to a large extent, also identify high-risk fatal accident drivers.     

Investigation of accidents involving powered two wheelers and bicycles – A European in-depth study

Introduction: The number of road fatalities have been falling throughout the European Union (EU) over the past 20 years and most Member States have achieved an overall reduction. Research has mainly focused on protecting car occupants, with car occupant fatalities reducing significantly. However, recently there has been a plateauing in fatalities amongst ‘Vulnerable Road Users’ (VRUs), and in 2016 accidents involving VRUs accounted for nearly half of all EU road deaths. Method: The SaferWheels study collected in-depth data on 500 accidents involving Powered Two-Wheelers (PTWs) and bicycles across six European countries. A standard in-depth accident investigation methodology was used by each team. The Driver Reliability and Error Analysis Method (DREAM) was used to systematically classify accident causation factors. Results: The most common causal factors related to errors in observation by the PTW/bicycle rider or the driver of the other vehicle, typically called ‘looked but failed to see’ accidents. Common scenarios involved the other vehicle turning or crossing in front of the PTW/bicycle. A quarter of serious or fatal injuries to PTW riders occurred in accidents where the rider lost control with no other vehicle involvement. Conclusions: Highly detailed data have been collected for 500 accidents involving PTWs or bicycles in the EU. These data can be further analyzed by researchers on a case-study basis to gain detailed insights on such accidents. Preliminary analysis suggests that ‘looked but failed to see’ remains a common cause, and in many cases the actions of the other vehicle were the critical factor, though PTW rider speed or inexperience played a role in some cases. Practical Applications: The collected data can be analyzed to better understand the characteristics and causes of accidents involving PTWs and bicycles in the EU. The results can be used to develop policies aimed at reducing road deaths and injuries to VRUs.     

Analysis of motorcycle accidents using association rule mining-based framework with parameter optimization and GIS technology

IntroductionAnalyzing key factors of motorcycle accidents is an effective method to reduce fatalities and improve road safety. Association Rule Mining (ARM) is an efficient data mining method to identify critical factors associated with injury severity. However, the existing studies have some limitations in applying ARM: (a) Most studies determined parameter thresholds of ARM subjectively, which lacks objectiveness and efficiency; (b) Most studies only listed rules with high parameter thresholds, while lacking in-depth analysis of multiple-item rules. Besides, the existing studies seldom conducted a spatial analysis of motorcycle accidents, which can provide intuitive suggestions for policymakers. Method: To address these limitations, this study proposes an ARM-based framework to identify critical factors related to motorcycle injury severity. A method for parameter optimization is proposed to objectively determine parameter thresholds in ARM. A method of factor extraction is proposed to identify individual key factors from 2-item rules and boosting factors from multiple-item rules. Geographic information system (GIS) is adopted to explore the spatial relationship between key factors and motorcycle injury severity. Results and conclusions: The framework is applied to a case study of motorcycle accidents in Victoria, Australia. Fifteen attributes are selected after data preprocessing. 0.03 and 0.7 are determined as the best thresholds of support and confidence in ARM. Five individual key factors and four boosting factors are identified to be related to fatal injury. Spatial analysis is conducted by GIS to present hot spots of motorcycle accidents. The proposed framework has been validated to have better performance on parameter optimization and rule analysis in ARM. Practical applications: The hot spots of motorcycle accidents related to fatal factors are presented in GIS maps. Policymakers can refer to those maps straightforwardly when decision making. This framework can be applied to various kinds of traffic accidents to improve the performance of severity analysis.     

Characterization of fatal occupational versus nonoccupational motor vehicle collisions in Kentucky (1998-2000)

Motor vehicle collisions (MVCs) are the leading cause of occupational fatalities in Kentucky as well as in the nation. The characteristics of and contributing factors for occupational versus nonoccupational MVC fatalities in the Commonwealth of Kentucky were examined from 1998 to 2000. Semi trucks were most frequently involved in fatal occupational MVCs, and passenger cars were most frequently involved in nonoccupational MVCs. More than half of the decedent drivers resided outside of Kentucky. The percentage of occupational fatalities occurring on a four-lane highway was double the percentage observed for nonoccupational MVC fatalities. In addition, an increased proportion of occupational MVC deaths occurred on limited access highways compared to nonoccupational fatalities. When human factors contributing to these fatal incidents were examined, the two primary human factors involved in occupational motor vehicle fatalities were driver distraction/inattention and falling asleep, whereas unsafe speed and alcohol were the primary human factors contributing to a nonoccupational fatality. These results suggest that semi drivers traveling on four-lane highways are more at risk for a fatal occupational injury in Kentucky. Therefore, additional epidemiological studies are needed to further examine human factors, the nature of the Kentucky highway system, and trucking controls (e.g., weigh station hours of operation) within the Kentucky transportation industry.     

Characteristics of worker accidents on NYSDOT construction projects

INTRODUCTION: This paper aims at providing cost-effective safety measures to protect construction workers in highway work zones, based on real data. Two types of accidents that occur in work zones were: (a) construction work area accidents, and (b) traffic accidents involving construction worker(s). METHODOLOGY/RESULTS: A detailed analysis of work zone accidents involving 36 fatalities and 3,055 severe injuries to construction workers on New York State Department of Transportation (NYSDOT) construction projects from 1990 to 2001 established that five accident types: (a) Struck/Pinned by Large Equipment, (b) Trip or Fall (elevated), (c) Contact w/Electrical or Gas Utility, (d) Struck-by Moving/Falling Load, and (e) Crane/Lift Device Failure accounted for nearly 96% of the fatal accidents, nearly 63% of the hospital-level injury accidents, and nearly 91% of the total costs. These construction work area accidents had a total cost of $133.8 million. Traffic accidents that involve contractors' employees were also examined. Statistical analyses of the traffic accidents established that five traffic accident types: (a) Work Space Intrusion, (b) Worker Struck-by Vehicle Inside Work Space, (c) Flagger Struck-by Vehicle, (d) Worker Struck-by Vehicle Entering/Exiting Work Space, and (e) Construction Equipment Struck-by Vehicle Inside Work Space accounted for nearly 86% of the fatal, nearly 70% of the hospital-level injury and minor injury traffic accidents, and $45.4 million (79.4%) of the total traffic accident costs. CONCLUSIONS: The results of this paper provide real statistics on construction worker related accidents reported on construction work zones. Potential preventions based on real statistics have also been suggested. IMPACT ON INDUSTRY: The ranking of accident types, both within the work area as well as in traffic, will guide the heavy highway contractor and owner agencies in identifying the most cost effective safety preventions.     

Fatal occupational injuries in Jordan during the period 1980 through 1993

All fatal occupational injuries compensated by the Social Security Corporation (SSC) in Jordan during the period 1980–1993 were studied. Variables considered in the analysis included gender, age, nationality, occupation, salary, cause of injury, body part injured and cause of death. The overall fatality rate, of the 705 cases reviewed, was 25.5/100,000/year. The majority (98%) of fatalities were males. The risk of fatal injuries increased with age. Workers over 55 years, had the highest annual fatality rate (37.8). Immigrant workers had a higher fatality rate (32.26) than Jordanians (23.95). Unskilled workers constituted 58.3% of decedents and professionals had the highest fatality rate (52.9). Transportation sector had the highest fatality rate (122.4) followed by construction (50.6). Over the study period, fatality rates tended to decrease significantly in manufacturing, construction and trade economic sectors while no such trend was established by transportation, agriculture and services sectors. The leading causes of fatal injuries were motor-vehicle related accidents (63.0%) and fall of persons (11.1%). Head was the body part most injured and was involved in 46.6% of all deaths. Haemorrhage was the main reported cause of death (24.5%). It is concluded that intervention measures targeting specific occupations (transportation and construction) and causes of fatalities such as motor-vehicle incidents are needed.     

建筑安全事故人为因素分类研究

为系统研究导致建筑安全事故的人为因素及对策,首先,在文献分析和专家访谈的基础上结合建筑行业特征提出人为因素分类分析系统（HFACS）框架中应增加社会环境层,在修正框架层次和人为因素的基础上构建建筑安全事故人为因素分类分析系统（C-HFACS）框架;其次,对150起建筑安全事故进行案例分析,探讨C-HFACS框架中对事故影响显著的人为因素及其内在关联性,验证了构建C-HFACS框架的合理性;最后,得出政府监管等九个人为因素对事故和下层人为因素影响显著,并从政府、企业、现场和个体四个维度提出独立第三方“飞行式”巡检等有针对性的对策,以期为建筑安全事故分析和管理提供新的方法和工具。     

Workplace and organisational factors in accident analysis within the Food Industry

This paper focuses on the causes of accidents at work in the Food Industry Sector and it covers both immediate and systemic causation factors, using data collected in Portugal. In the first part, accident data is analysed by looking at harmonised variables within the Eurostat recording system, allowing a portrait of the accidents occurred and their immediate causes. To complement the study, a second part was designed to deepen the insight into underlying factors, as well as the relevant organisational conditions; this complementary part comprised an in-depth analysis of 30 accidents, carried out in the field by visiting several enterprises of the sector and conducting interviews with the injured people and their managers. For eliciting and analysing this information, the WAIT method was applied together with its classification schemes. The results are presented and discussed, showing the usefulness of certain new Eurostat variables, such as the deviation and the contact. However, they also demonstrate that the current variables are not yet sufficient to clarify accident mechanisms on which to build up knowledge and develop better prevention strategies. The authors argue for the need of more detailed information and propose an additional variable, associated with the deviation, aimed at promoting the inclusion of specific underlying factors within the local workplace environment.     

中国安全生产大趋势已进入拐点——生产安全事故宏观预警与发展态势分析

为认清我国安全生产形势现状与发展趋势，作者应用比较研究和预测分析方法，回顾总结了我国生产安全事故历史演变特点，对事故死亡人数、十万死亡率和重大事故发生频率等安全生产指标作了近中期预测模拟分析；结合我国经济社会发展现状，提出了中国安全生产大趋势已进入拐点的判断，并建议在新的历史机遇面前，对安全生产监管模式做重大调整，推进安全生产形势根本性好转，实现安全发展。     

浅谈抚顺石化80万吨/年乙烯装置HSE管理工作

乙烯项目是高投入、高风险的项目。由于技术复杂、多专业、多工种深度交叉作业、施工区域作业空间狭小、施工人员众多,建设周期长等特点,加大了乙烯项目施工组织和安全管理的难度。另外,影响工程安全因素众多,人的不安全行为,物的不安全状态,项目实施的每一环节每一过程监管不到位,都会对现场安全直接或间接产生影响。因此,做好乙烯项目的 HSE管理工作就显得尤为重要。围绕"无安全事故,无人员伤亡,无环境污染"的安全管理目标,介绍抚顺石化80万吨/年乙烯装置HSE管理工作。具体包括:构建健全的组织机构;强化施工过程控制;采用科学的HSE管理方法,加强和各方的沟通与协调等,并结合项目实际,不断完善和创新HSE管理方法,确保抚顺石化80万吨/年乙烯项目施工生产顺利进行,实现工程项目安全受控。