基于Bow-Tie技术的民用机场安全风险分析应用研究

民用运输机场具有运行环境复杂、事故成因复杂、驻场单位众多等特点,其事故成因更具有动态性、隐蔽性、综合性和因果连带性。因此,机场的日常运行安全风险分析一般需要借助多种工具才能完成。本文系统的介绍了一种实用的风险分析方法-Bow-tie风险技术,Bow-tie是一种风险分析和风险管理的工具,通过识别和评估风险、分析风险因素、设置风险屏障、采取风险控制和(减缓)恢复措施,有效预防事故发生。该方法可以对危害事件发生的原因、后果、屏障建立是否充足提供一个可视化的评估。本文就Bow-tie技术在民用机场安全风险中的具体实施步骤进行了描述,最后给出了其在民用机场风险分析中应用的一个实例,并就其可行性和实际应用进行了系统的研究。Bow-tie风险技术是集故障树、事件树和圆葱图理论相结合的系统风险分析及量化技术,对组织缺陷以及人为失误占主导因素的民用机场运行安全风险分析,具有较高的应用价值。     

机场机坪风险管理研究

民用机场机坪具有范围小,保障单位和人员多而杂等特点,是航空地面事故的多发环节。本文针对国内某国际机场近五年的机坪事故数据进行统计分析研究,运用事故树的方法定性分析原因,再通过分析影响机坪安全的作业人员、设备设施、环境、管理四大因素中的13项指标,采用灰色关联定量评价方法,系统建立了机场机坪安全评价指标体系,实现机坪安全影响因素的安全状况分级,最终在定性定量方法的结合下,实现对机场机坪区域的整体风险评价,并根据评估结果提出风险控制措施,最终提出可行性建议：管理好机坪车辆和机坪资源的矛盾;管理好车辆违规现象,如超速行驶,乱停乱放;机坪地面的标志标线清晰,为工作人员提供良好的作业环境;加强监督力量,严格把关员工业务水平及执照。     

Older adult falls at a metropolitan airport: 2009-2010

IntroductionWe investigated falls at a metropolitan airport to determine fall incidence, identify potential causes of these falls, and suggest opportunities for mitigation.MethodsWe used deidentified incident reports of all falls requiring EMS response that occurred at the airport during 2009 and 2010.ResultsOn average, one fall occurred every 2.3 days. Ninety-six percent (96%) of falls occurred in terminals. Of all falls, 44% occurred on escalators, making escalators the most common location. Seventy-two percent (72%) of fallers were females; 43% were ≥ 65 years; 92% of all falls resulted in a documented injury; 37% of falls resulted in transport to hospital emergency departments. Escalator fall risks include carrying bags (due to changes in baggage fees), using cells phones, not using handrails, and compromised strength and balance.Conclusions and ImpactDiverting at-risk passengers to elevators could significantly reduce the overall falls. Interventions targeting escalator falls have the greatest promise for reducing falls at this airport.     

基于MORT的民用机场安全管理评价方法研究

为管控民用机场运行风险,保障人民生命和财产安全,针对民用机场安全管理现状,提出应用MORT方法构建安全管理评价框架。通过层次分析来量化MORT-M分枝(管理控制因素)中各事件权重,建立了一套民用机场安全管理评价指标。     

机场不停航施工安全监管策略博弈分析

为了有效提高机场不停航施工的安全监管效果,减少施工人员不安全行为,结合机场不停航施工特点,充分考虑安全监管和施工人员的有限理性及心理作用,基于前景理论和心理账户理论对传统博弈价值感知矩阵进行优化,进而构建安全监管演化博弈模型并对关键因素的影响情况进行模拟仿真研究。研究结果表明:决策群体初始安全能力、低估安全事故损失、安全监管和施工成本等因素对安全施工和监管行为策略选择的影响显著。机场管理部门和施工单位可以从提高工作人员安全能力,加强安全知识宣讲、警示教育、心理疏导,努力降低监管和施工成本等方面入手,进一步完善机场不停航施工安全管理和相应监管制度,充分引导施工和监管人员从事安全生产,遵守安全管理规定。     

机场安检人员心理授权与违章行为关系研究

为减少民航机场安检人员的违章行为、提升民航机场安全水平,研究民航机场安检员的心理授权与违章行为之间的关系。在心理授权与违章行为关系中加入安全意识、安全动机和安全服从3个中介变量,构建机场安检人员心理授权与违章行为关系的理论假设模型;通过实证研究收集国内机场的安检员相关数据,对已构建的理论假设模型采取结构方程模型(SEM)进行检验。结果表明:机场安检员心理授权与违章行为存在一定相关性,即通过安全意识、安全动机与安全服从对违章行为产生间接影响;心理授权通过违章行为产生间接影响,通过安全意识、安全动机和安全服从的中介作用对心理授权与安全意识、安全动机和安全服从均呈现显著正相关。其中,对于安全动机的影响最大,其次是安全意识,影响最小的是安全服从;安全意识、安全动机和安全服从对于机场安检员的无意识违章、失控违章和故意违章3个维度均呈现显著负相关;安全动机对于违章行为的3个维度产生影响的差异性最小,即安全意识动机越高,机场安检员的违章行为的出现概率就会越低;安全服从与机场安检员的故意违章行为显著正相关。     

支线机场安全动态预警技术研究

提升支线机场安全管理能力是中国支线机场未来发展面临的一个重大问题,为提高我国支线机场安全管理水平,本文基于系统动态的风险管理思想,针对支线机场安全风险发生随机、动态和系统的特点,结合支线机场安全管理实践,构建了支线机场三维风险识别图,以时间维为主线,空间维为基础,逻辑维为依据,多层次地识别支线机场面临的风险,以提高支线机场风险识别结果的客观性和全面性;将风险概率、风险损失、风险可预测性、风险可控制性纳入了支线机场安全风险分析过程,构建了支线机场安全多维风险评价函数,从而能更系统、全面地对支线机场面临的各种风险因素进行评价;通过上述支线机场风险管理技术的应用,可提高对支线机场安全风险的辨别、分析和控制能力,达到对支线机场安全风险进行实时、动态监控的预警目标,进而减少支线机场安全风险的潜在损失。     

基于多级物元分析的机场安全评价

针对民用机场安全评价方法中存在的不足,分析影响机场安全的各主要因素,建立机场安全评价指标体系;运用物元分析理论,建立机场安全评价多级物元分析模型,并阐述了物元分析的分析方法和过程;同时结合具体机场实际情况进行实例验证,得到了客观合理的结果。     

The development of a more risk-sensitive and flexible airport safety area strategy: Part I. The development of an improved accident frequency model

This two-part paper presents the development of an improved airport risk assessment methodology aimed at assessing risks related to aircraft accidents at and in the vicinity of airports and managing airport safety areas (ASAs) as a risk mitigation measure. The improved methodology is more quantitative, risk-sensitive, flexible and transparent than standard risk assessment approaches. As such, it contributes to the implementation of Safety Management Systems at airports, as stipulated by the International Civil Aviation Organisation.The first part of the paper presents the methodological advances made in the development of accident frequency models; namely the building of a single comprehensive database of all relevant accident types, the collection and use of normal operations data in quantifying the criticality of a series of risk factors, and modelling accident frequency using multivariate logistic regression. The resulting models have better goodness-of-fit, sensitivity and specificity than standard risk assessment methodologies.     

基于Bowtie模型的机场安全风险分析

运用Bowtie模型对隐患、可能的事故原因以及后果进行评判,分析重点放在风险控制和组织控制的薄弱环节上。利用Bowtie模型,分析机场安全风险,以跑道侵入事件为算例进行深入分析,探讨影响机场安全风险的组织因素。量化影响跑道侵入的结构重要度,计算不同阶段、不同条件下,可能导致跑道侵入事件发生的概率。从风险管理和组织安全的角度,预防跑道侵入事件的发生提供理论依据和实际指导。     

Crashes and near-crashes on horizontal curves along rural two-lane highways: Analysis of naturalistic driving data

IntroductionPrior research has shown the probability of a crash occurring on horizontal curves to be significantly higher than on similar tangent segments, and a disproportionally higher number of curve-related crashes occurred in rural areas. Challenges arise when analyzing the safety of horizontal curves due to imprecision in integrating information as to the temporal and spatial characteristics of each crash with specific curves.MethodsThe second Strategic Highway Research Program(SHRP 2) conducted a large-scale naturalistic driving study (NDS),which provides a unique opportunity to better understand the contributing factors leading to crash or near-crash events. This study utilizes high-resolution behavioral data from the NDS to identify factors associated with 108 safety critical events (i.e., crashes or near-crashes) on rural two-lane curves. A case-control approach is utilized wherein these events are compared to 216 normal, baseline-driving events. The variables examined in this study include driver demographic characteristics, details of the traffic environment and roadway geometry, as well as driver behaviors such as in-vehicle distractions.ResultsLogistic regression models are estimated to discern those factors affecting the likelihood of a driver being crash-involved. These factors include high-risk behaviors, such as speeding and visual distractions, as well as curve design elements and other roadway characteristics such as pavement surface conditions.ConclusionsThis paper successfully integrated driver behavior, vehicle characteristics, and roadway environments into the same model. Logistic regression model was found to be an effective way to investigate crash risks using naturalistic driving data.Practical ApplicationsThis paper revealed a number of contributing factors to crashes on rural two-lane curves, which has important implications in traffic safety policy and curve geometry design. This paper also discussed limitations and lessons learned from working with the SHRP 2 NDS data. It will benefit future researchers who work with similar type of data.     

Accident models and organisational factors in air transport: The need for multi-method models

Event analysis is needed to learn and improve safety. In air transport, ‘occurrences’ are routinely reported by pilots and air traffic controllers, and in-flight data analysis systems automatically monitor aircraft system behaviour and capture parameter threshold exceedances. The safety analyst of a large airline has to analyse dozens of occurrences each day. To understand why events happened the analyst has to go beyond the given information and make causal inferences. The analyst is able to do this for causal factors closely related in time and space to the event itself by applying individual knowledge and expertise. But typically the result of the analysis is ad hoc reaction to each individual event. Systematic analysis is needed to find areas of improvement for factors that are further removed from the event (latent factors). New tools are needed to help the analyst in this respect. There is a need for models that represent possible causal event sequence scenarios that include technical, human, and organisational factors. Building such models is a huge task, and requires the combination of detailed knowledge of all aspects of the system, processing huge amounts of data, a substantial mathematical background and the ability to capture this all in a user friendly software tool to be used by the safety analysts. Experience in Causal Modelling of Air Transportation System (CATS) in the Netherlands and similar projects in FAA and Eurocontrol in aviation shows that this is indeed a formidable task, but it has to be done to further improve safety.     

Safety compliance and safety climate: A repeated cross-sectional study in the oil and gas industry

IntroductionViolations of safety rules and procedures are commonly identified as a causal factor in accidents in the oil and gas industry. Extensive knowledge on effective management practices related to improved compliance with safety procedures is therefore needed. Previous studies of the causal relationship between safety climate and safety compliance demonstrate that the propensity to act in accordance with prevailing rules and procedures is influenced to a large degree by workers' safety climate. Commonly, the climate measures employed differ from one study to another and identical measures of safety climate are seldom tested repeatedly over extended periods of time. This research gap is addressed in the present study.MethodThe study is based on a survey conducted four times among sharp-end workers of the Norwegian oil and gas industry (N = 31,350). This is done by performing multiple tests (regression analysis) over a period of 7 years of the causal relationship between safety climate and safety compliance. The safety climate measure employed is identical across the 7-year period.ConclusionsTaking all periods together, the employed safety climate model explained roughly 27% of the variance in safety compliance. The causal relationship was found to be stable across the period, thereby increasing the reliability and the predictive validity of the factor structure. The safety climate factor that had the most powerful effect on safety compliance was work pressure.Practical applicationsThe factor structure employed shows high predictive validity and should therefore be relevant to organizations seeking to improve safety in the petroleum sector. The findings should also be relevant to other high-hazard industries where safety rules and procedures constitute a central part of the approach to managing safety.     

Effect of pavement condition and geometrics at signalised intersections on casualty crashes

IntroductionThis study investigated the effects of pavement surface condition and other control factors on casualty crashes at signalized intersections. It involved conducting a before and after study for road surface condition and situational factors. It also included assessing the effects of geometric characteristics on safety performance of signalized intersections post resurfacing to control for the effect of pavement surface condition. Pavement surface condition included roughness, rutting, and skid resistance. The control factors included traffic volume, light and surface moisture condition, and speed limit. The geometric characteristics included approach width, number of lanes, intersection depth, presence of median, presence of shared lane, and presence of bus stop.MethodTo account for the repeated observations of the effect of light and surface moisture conditions in four occasions (day-dry, day-wet, night-dry and night-wet) Generalized Estimating Equation (GEE) with Negative Binomial (NB) and log link function was applied. For each signalized intersection in the sample, condition data are collected for the year before and after the year of surface treatment. Crash data, however, are collected for a minimum of three and maximum of five years before and after treatment years.ResultsThe results show that before treatment, light condition, road surface moisture condition, and skid resistance interaction with traffic volume are the significant contributors to crash occurrence. For after treatment; light condition, road surface moisture condition, their interaction product, and roughness interaction with light condition, surface moisture condition, and traffic volume are the significant contributors. The geometric variables that were found to have significant effects on crash frequency post resurfacing were approach width interactions with presence of shared lane, bus stop, or median.ConclusionsThe findings confirm that resurfacing is significant in reducing crash frequency and severity levels.Practical Applications: The study findings would help for better understanding of how geometric characteristics can be improved to reduce crash occurrence.     

民用机场不安全事件管理系统的分析和设计

根据《机场安全管理体系建设指南》关于机场管理机构应当建立健全安全信息管理制度的监管需求,分析了机场不安全事件管理系统的结构,提出了机场不安全事件管理系统的总体框架。系统采用B/S模式,分为机场员工、驻场单位、机场安全管理部门三级用户,包括事件信息管理、调查分析、风险管理、信息共享等功能模块。本系统实现了机场不安全事件的信息化管理。系统的应用将有效地改善机场安全管理的手段,大大提高安全管理的效率和水平。     

Investigating ethnic minorities' perceptions of safety climate in the construction industry

IntroductionAn increasing number of ethnic minorities (EMs) have been employed in the construction industry to alleviate severe labor shortages in many countries. Unfortunately, statistics show that EMs have higher fatal and non-fatal occupational injury rates than their local counterparts. However, EMs are often underrepresented in safety climate (SC) research as they are difficult to reach and gauge their perception. A positive relationship has been widely found between SC and safety performance. Understanding the safety perceptions of EMs helps to reduce injuries and improve their safety performance.MethodBased on a sample of 320 EMs from 20 companies in the construction industry, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to identify the SC factors of EMs, and validate the extracted factors, respectively. Multivariate analysis of variance was undertaken to examine mean differences in perceptions of SC by personal characteristics.ResultsThree SC factors for EMs encapsulating 16 variables were identified through EFA. The hypothesized CFA model for a three-factor structure derived from EFA showed a satisfactory goodness-of-fit, composite reliability, and construct validity.ConclusionsThree SC factors were identified, namely: (a) safety management commitment, safety resources, and safety communication; (b) employee's involvement and workmate's influence; and (c) perception of safety rules, procedures and risks. The perceptions of SC differed significantly by nationality, marital status, the number of family members supported, and drinking habit.Practical applicationsThis study reveals the perception of EMs toward SC. The findings highlight the areas for safety improvement and provide leading indicators for safety performance of EMs. The findings are also enlightening for countries with a number of EMs, such as the United Sates, the United Kingdom, Australia, Singapore, and the Middle East.     

Determinants of safety outcomes and performance: A systematic literature review of research in four high-risk industries

IntroductionIn spite of increasing governmental and organizational efforts, organizations still struggle to improve the safety of their employees as evidenced by the yearly 2.3 million work-related deaths worldwide. Occupational safety research is scattered and inaccessible, especially for practitioners. Through systematically reviewing the safety literature, this study aims to provide a comprehensive overview of behavioral and circumstantial factors that endanger or support employee safety.MethodA broad search on occupational safety literature using four online bibliographical databases yielded 27.527 articles. Through a systematic reviewing process 176 online articles were identified that met the inclusion criteria (e.g., original peer-reviewed research; conducted in selected high-risk industries; published between 1980-2016). Variables and the nature of their interrelationships (i.e., positive, negative, or nonsignificant) were extracted, and then grouped and classified through a process of bottom-up coding.ResultsThe results indicate that safety outcomes and performance prevail as dependent research areas, dependent on variables related to management & colleagues, work(place) characteristics & circumstances, employee demographics, climate & culture, and external factors. Consensus was found for five variables related to safety outcomes and seven variables related to performance, while there is debate about 31 other relationships. Last, 21 variables related to safety outcomes and performance appear understudied.ConclusionsThe majority of safety research has focused on addressing negative safety outcomes and performance through variables related to others within the organization, the work(place) itself, employee demographics, and—to a lesser extent—climate & culture and external factors.Practical applicationsThis systematic literature review provides both scientists and safety practitioners an overview of the (under)studied behavioral and circumstantial factors related to occupational safety behavior. Scientists could use this overview to study gaps, and validate or falsify relationships. Safety practitioners could use the insights to evaluate organizational safety policies, and to further development of safety interventions.     

Safety leadership and safety behavior in container terminal operations

IntroductionThe importance of leadership for effective safety management has been the focus of research attention in industry for a few years. However, safety leadership in relation to self-reported safety behavior has rarely been examined. This research empirically evaluates the crucial dimensions of safety leadership in the context of container terminal operations.MethodUsing survey data collected from 336 respondents working for five major container terminal companies in Taiwan engaged in container terminal operation, tally, and stevedore activities at international ports on the island. Hierarchical regression analysis was used to examine the effects of safety leadership dimensions on self-reported safety behavior.ResultsConfirmatory factor analysis identified three main dimensions of safety leadership, as measured on a safety leadership scale: safety motivation, safety policy, and safety concern. The results suggest that safety motivation and safety concern positively affect self-reported safety behavior, such as safety compliance and safety participation, and the safety policy dimension has a positive influence on safety participation. The study findings also reveal positive associations between safety training and self-reported safety behavior. The findings implications for increasing safety in container terminal operations and their contribution to the development of safety leadership are discussed.