An examination of consumer bias against female and minority commercial pilots

Several studies have examined biases towards gender and ethnic minorities in professional settings, such as medical practices, academia, and aviation. Our research aims to understand consumers' attitudes towards ethnic minorities and female pilots. A better understanding of the impact of customers' perceptions on these minority groups could improve commercial flight operations and support increasing air travel demands. Specifically, this study investigated consumer perceptions of gender and ethnic bias towards commercial airline pilots and flight students in the United States. In a two-experiment design, participants in Study 1 viewed pictures of current female and male commercial pilots of various races. Participants then rated their opinions on the quality of the pilot (e.g. professionalism, flight safety, smoothness of flight, and their confidence in the pilot). In Study 2, participants viewed pictures of student pilots and rated the individual's likeliness to succeed in flight training. The results indicated that participants favored White male pilots in all conditions and that female and ethnic pilots were generally viewed as less favorable. These findings suggest that overt biases are present towards pilots with implications demonstrating that biases influence the hiring processes for female and minority pilots.     

民机着陆目视判断及操作影响因素研究

目的对影响飞行员着陆目视判断及手动操作的各类因素进行重要度分析及排序,为改善着陆操作提供参考。方法首先设计一套情境问卷,在问卷问题中融入着陆过程中影响飞行员目视判断和操作偏差的指标因素,然后在专家飞行员中实施情境问卷,并应用熵权法处理了32份有效问卷数据,同时对问卷信度和效度进行了分析。结果着陆过程中影响飞行员目视判断最重要的五个因素分别是能见度、助航设施、飞行经验、飞行能力、地面参照;影响飞行员手动操作最重要的五个因素分别是飞行技能、飞行经验、风速、重量、构型。结论对于飞行员来说,着陆时最重要的任务目标是先目视确定跑道位置,影响该目标最重要的两个因素是天气能见度和机场助航设施;个体的飞行技能对着陆安全操作至关重要,通过提高飞行员的操作技能水平,可以克服由不利飞行环境对手动操作带来的影响。     

Improving pilots' risk assessment skills in low-flying operations: the role of feedback and experience

Risk assessment is one of the most important skills that pilots are expected to acquire to ensure the safe and successful management of flight. The traditional approach to the development of these skills requires pilots to directly engage with potentially hazardous events. Using low-flying as a context, the present study sought to test whether engagement with hazards in a simulated environment, together with feedback concerning performance, would improve pilots' risk assessment during a subsequent simulated test flight. The results indicated that engagement with the hazards, rather than the provision of feedback per se, was associated with behavior that reduced the risk to the aircraft, while maintaining operational performance. It was concluded that exposure to hazards within a simulated environment could provide the basis for the development of risk assessment skills amongst less experienced pilots.     

Young novice driver subtypes: Relationship to driving violations, errors and lapses

The present study aimed to identify, in a large Italian sample of young, novice drivers, specific subtypes of drivers on the basis of combinations of self-reported personality traits (i.e., driving anger, anxiety, angry hostility, excitement-seeking, altruism, normlessness and driving locus of control) and to evaluate their high-risk driving behaviors not only in terms of traffic rule violations and risk-taking behaviors, but also in terms of driving errors and lapses as measured by the Manchester Driver Behavior Questionnaire. Participants were 1008 high school students between the ages of 18 and 23 years, with valid driver's licenses. On the basis of a cluster analysis of the personality variables, three easily interpretable driver subgroups were identified (risky drivers, worried drivers and careful drivers) that differed on self-reported accident involvement, attitudes toward traffic safety and risk perception, as well as on driving violations, errors, and lapses. The inclusion of internal and external driving locus of control, variables not previously considered in similar cluster studies, provided a relevant contribution to the final cluster solution. Further, the use of the Driving Behavior Questionnaire permitted the differentiation between deliberate deviations from safe driving practices and mistakes due to misjudgments or lapses in attention. This distinction was critical for understanding the behavior of each of the three identified subgroups of drivers, and for planning interventions to promote safe driving.     

Human risk factors associated with pilots in runway excursions

A breakdown analysis of civil aviation accidents worldwide indicates that the occurrence of runway excursions represents the largest portion among all aviation occurrence categories. This study examines the human risk factors associated with pilots in runway excursions, by applying a SHELLO model to categorize the human risk factors and to evaluate the importance based on the opinions of 145 airline pilots. This study integrates aviation management level expert opinions on relative weighting and improvement-achievability in order to develop four kinds of priority risk management strategies for airline pilots to reduce runway excursions. The empirical study based on experts’ evaluation suggests that the most important dimension is the liveware/pilot’s core ability. From the perspective of front-line pilots, the most important risk factors are the environment, wet/containment runways, and weather issues like rain/thunderstorms. Finally, this study develops practical strategies for helping management authorities to improve major operational and managerial weaknesses so as to reduce the human risks related to runway excursions.     

Integrated fleet assignment and aircraft routing based on delay propagation

Airlines’ expensive resources, especially aircraft, are to be optimally scheduled to cover flights of timetables. However, the irregular flight, due to bad weather, mechanical fault and so on, is inevitable. Moreover, flight delays become more severe with the rapid development of the air transport industry in China and have huge irregular flight cost. In order to alleviate flight delays impact on the flight plan, we present a double objective multi-commodity network flow model of flight delay propagation-based aircraft scheduling and minimize the total delay propagation and airline operation cost as the optimization objective. Branch-and-price solution and column generation algorithm are used to solve the problem. Computational results obtained by using data from a major domestic airline show that our approach can reduce delay propagation significantly, thus improving on-time performance and robustness of aircraft scheduling, and decreasing the total cost simultaneously.     

Situational and personal characteristics associated with adverse weather encounters by pilots

Weather conditions are significant hazards impacting the safe and efficient operation of aircraft. In this study, a large number of pilots were surveyed regarding weather events, and the circumstances associated with those events. Pilots completed a web-based questionnaire containing demographic questions, a risk perception scale, a hazardous events scale, and a pilot judgment scale. The pilots who reported a flight in which they penetrated weather without authorization or were concerned about the weather also completed 53 questions regarding their weather encounter. Usable data were obtained for 364 participants: 144 who reported flying into weather, 114 who experienced a flight on which weather was a concern, and 106 who reported no flights on which weather was entered or was a major concern. Significant differences were evident between the three groups on the measures of pilot judgment, personal minimums, and hazardous events where pilots flying into weather recorded the poorest scores (least conservative minimums, most hazardous events, and poorest judgment). Significant differences were also noted between the two weather groups for a number of circumstances surrounding the events. Compared to the in-weather group, pilots in the near-weather group had acquired greater instrument hours, were older, and were more likely to have an instrument rating. Their aircraft were more likely to have an autopilot. More pilots in the in-weather group (28%) reported that they would be much more careful in the future regarding weather, compared to 17% of the near-weather group. The study provides data not previously obtained on both the situational and personal characteristics that are related to involvement in different degrees of weather-related encounters. These data should promote a better understanding of these individuals and the situations in which they are involved, and should inform future research and intervention efforts.     

Critical factors and paths influencing construction workers’ safety risk tolerances

While workers’ safety risk tolerances have been regarded as a main reason for their unsafe behaviors, little is known about why different people have different risk tolerances even when confronting the same situation. The aim of this research is to identify the critical factors and paths that influence workers’ safety risk tolerance and to explore how they contribute to accident causal model from a system thinking perceptive. A number of methods were carried out to analyze the data collected through interviews and questionnaire surveys. In the first and second steps of the research, factor identification, factor ranking and factor analysis were carried out, and the results show that workers’ safety risk tolerance can be influenced by four groups of factors, namely: (1) personal subjective perception; (2) work knowledge and experiences; (3) work characteristics; and (4) safety management. In the third step of the research, hypothetical influencing path model was developed and tested by using structural equation modeling (SEM). It is found that the effects of external factors (safety management and work characteristics) on risk tolerance are larger than that of internal factors (personal subjective perception and work knowledge & experiences). Specifically, safety management contributes the most to workers’ safety risk tolerance through its direct effect and indirect effect; while personal subjective perception comes the second and can act as an intermedia for work characteristics. This research provides an in-depth insight of workers’ unsafe behaviors by depicting the contributing factors as shown in the accident causal model developed in this research.     

飞行员在空间定向动态任务中的加工优势

目的:探讨飞行员在空间定向动态任务中的加工优势。方法:采用空间定向动态任务修订版对飞行员组和对照组进行比较研究。结果:飞行员在对运动客体的方向控制上好于对照组,完成任务操作时反应潜伏时间更长,在操作过程中反应频率更少。结论:飞行员在空间定向动态任务上的高定向能力表现为更好利用了整体的动态的权衡策略。     

The use of Functional Resonance Analysis Method (FRAM) in a mid-air collision to understand some characteristics of the air traffic management system resilience

The Functional Resonance Analysis Model (FRAM) defines a systemic framework to model complex systems for accident analysis purposes. We use FRAM in the mid-air collision between flight GLO1907, a commercial aircraft Boeing 737-800, and flight N600XL, an executive jet EMBRAER E-145, to investigate key resilience characteristics of the Air Traffic Management System (ATM). This ATM system related accident occurred at 16:56 Brazilian time on September 29, 2006 in the Amazonian sky. FRAM analysis of flight monitoring functions showed system constraints (equipment, training, time, and supervision) that produce variability in system behavior, creating demand resources mismatches in an attempt to perceive and control the developing situation. This variability also included control and coordination breakdowns and automation surprises (TCAS functioning). The analysis showed that under normal variability conditions (without catastrophic failures) the ATM system (pilots, controllers, supervisors, and equipment) was not able to close the control loops of the flight monitoring functions using feedback or feedforward strategies to achieve an adequate control of an aircraft flying in the controlled air space. Our findings shed some light on the resilience of Brazilian ATM system operation and indicated that there is a need of a deeper understanding on how the system is actually functioning.     

Delays and safety in airline maintenance

Airline maintenance operations affect the potential for flight delays and can also affect flight safety if signals of technical problems are missed or misinterpreted. In this paper, we use a probabilistic risk analysis model, represented by an influence diagram, to quantify the effect of an airline's maintenance policy on delays, cancellations and in-flight safety. The model represents the leading edge (LE) sub-system of a commercial passenger jet and consists of three tiers: (1) a set of management decision variables (e.g. the level of qualification of maintenance personnel); (2) a ground model linking policy decisions and flight delays; and (3) an in-flight model, linking policy decisions, maintenance quality and flight safety. To illustrate this model, we use data adapted (for confidentiality reasons) from a study of an existing airline. Clearly, the LE devices of an airplane are not among the most safety-critical and the risk of an accident due to poor maintenance is extremely small, but non-zero. The same model can be used for other, more critical parts of the aircraft to support maintenance policy decisions in which the trade-off between delays and safety may be more pronounced.     

基于STAMP的民航进餐推车人因设计

目的 为解决空乘人员因工作负荷大、工作环境颠簸易发生碰撞事故等导致患肌肉骨骼病概率逐年上涨的问题,对民航进餐推车造型设计过程进行研究。方法 确定民航进餐推车系统中的安全约束,构建基于层级模式的民航进餐推车事故风险控制—人因模型;识别控制模型中潜在的不安全控制行为,采用层次分析法对这些行为的综合权重值进行计算并排序;运用虚拟仿真软件进行人因分析与设计优化,得到最优方案。结果 通过民航进餐推车设计实践,验证该方法的可行性与有效性。结论 在民航进餐推车设计过程的前期,引入STAMP模型和人因工程理论,可提升空乘人员在进餐推车服务过程中的安全性与舒适性,为研制符合空乘人员行为方式的新型民航进餐推车提供新的思路。     

Nighttime approaches to offshore installations in Brazil: Safety shortcomings experienced by helicopter pilots

Accident rates for night sorties by helicopters traveling to offshore oil and gas platforms are at least five times higher than those during the daytime. Because pilots need to transition from automated flight to a manually flown night visual segment during arrival, the approach and landing phases cause great concern. Despite this, in Brazil, regulatory changes have been sought to allow for the execution of offshore night flights because of the rapid expansion of the petroleum industry. This study explores the factors that affect safety during night visual segments in Brazil using 28 semi-structured interviews with offshore helicopter pilots, followed by a template analysis of the narratives. The relationships among the factors suggest that flawed safety oversights, caused by a combination of lack of infrastructure for night flights offshore and declining training, currently favor spatial disorientation on the approach and near misses when close to the destination. Safety initiatives can be derived on the basis of these results.     

Age and gender differences in risky driving: the roles of positive affect and risk perception

A phone survey of 504 teen (age 16–20) and 409 adult (age 25–45) drivers in the US state of Alabama was conducted to examine the relationships among risk perception, positive affect and risky driving. Male drivers reported engaging in risky driving behaviors more frequently than female drivers and teen drivers reported engaging in risky driving behaviors more frequently than adult drivers. Positive affect (liking for risky driving behaviors) and perceived risk mediated the relationships of age and gender with risky driving. Affect and risk perception were independent predictors of risky driving behavior. Interactions of positive affect and perceived risk with gender and age showed that positive affect more strongly predicted risky driving for teen and male drivers than for adult and female drivers. These findings are interpreted in the context of dual process models of behavioral decision making. Future research into interventions designed to moderate the positive affect surrounding driving may have promise for reducing risky driving behavior.     

The influence of flight experience on midair collision risk perception

Although successful collision avoidance is presumed a learned skill, midair collision accidents typically involve highly experienced pilots. It is hypothesized that pilot complacency, arising from a history of incident-free flights, plays a role in the midair collision process. Pilot risk perception is explored using Laplace's Law of Succession, and the resulting perceived collision probability compared to reality. The two converge at around 5,000 hours of flight experience.     

Promoting learning, memory, and transfer in a time-constrained, high hazard environment

Two methods of metacognitive reflection for promoting compliance with an aviation safety rule were tested in a transfer design. Two groups of pilots (n = 10) conducted a simulated flight entailing a search for a target on the ground. During this flight, only 35% of the pilots stayed above an altitude of 500 ft, the minimum allowed by relevant regulations. Following the flight, one group completed a self-explanation questionnaire, in which they explained their actions during the initial flight and what they would do in future flights. The other group completed a relapse-prevention questionnaire, in which they identified the circumstances leading to safety lapses and their future avoidance. A third group (n = 10) formed a rest control; they conducted a familiarization flight without a ground target or debriefing. One week later, all pilots conducted a series of test flights with the same or different ground targets as the initial flight. The self-explanation group showed 100% compliance when the ground target remained the same, but less so (<70%) when the ground target was different. The relapse-prevention group and control groups both showed low levels of compliance across all test flights (<30%). The results are discussed from theoretical and applied perspectives.     

基于轮辐式航线网络的航班舱位控制动态优化

为使航班舱位控制更贴近旅客实际订座需求,有效提高航空公司收益,基于轮辐式航线网络结构的特点,从航班实际运行的角度出发,同时考虑需求的不确定性以及动态性,建立舱位控制动态优化模型。通过模拟仿真得到各订座阶段旅客随机到达数量,运用遗传算法求得各航班舱位等级的座位保护数,根据票价价值进行等级嵌套。结果表明,该方法与单独使用遗传算法的舱位控制方法相比较,能将总收益提高2.35%,具有一定的参考意义。     

analysis of pedestrian accident costs in Sudan using the willingness-to-pay method

The willingness-to-pay (WTP) with contingent valuation (CV) method has been proven to be a valid tool for the valuation of non-market goods or socio-economic costs of road traffic accidents among communities in developed and developing countries. Research on accident costing tends to estimate the value of statistical life (VOSL) for all road users by providing a principle for the evaluation of road safety interventions in cost-benefit analysis. As in many other developing countries, the economic loss of traffic accidents in Sudan is noticeable; however, analytical research to estimate the magnitude and impact of that loss is lacking. Reports have shown that pedestrians account for more than 40% of the total number of fatalities. In this study, the WTP-CV approach was used to determine the amount of money that pedestrians in Sudan are willing to pay to reduce the risk of their own death. The impact of the socioeconomic factors, risk levels, and walking behaviors of pedestrians on their WTP for fatality risk reduction was also evaluated. Data were collected from two cities—Khartoum and Nyala—using a survey questionnaire that included 1400 respondents. The WTP-CV Payment Card Questionnaire was designed to ensure that Sudan pedestrians can easily determine the amount of money that would be required to reduce the fatality risk from a pedestrian-related accident. The analysis results show that the estimated VOSL for Sudanese pedestrians ranges from US$0.019 to US$0.101 million. In addition, the willingness-to-pay by Sudanese pedestrians to reduce their fatality risk tends to increase with age, household income, educational level, safety perception, and average time spent on social activities with family and community.     

Understanding pilot response to flight safety events using categorisation theory

Categorisation theory explains our ability to recognise events in terms of a similarity overlap between either a prototypical, ideal case or a stored exemplar derived from experience. Evidence from aviation accident reports indicate that pilots are not always able to recognise flight safety events in real-time and this can lead to undesirable pilot behaviour. Flight safety events may not always arise in recognisable formats, especially as rare and unusual cue combinations are possible. Correspondence with prototypes or exemplars may be weak, creating borderline cases and harming recognition. In this article we extend categorisation theory to develop a new framework which characterises flight safety events. We model three case studies using the new framework to demonstrate how categorisation theory can be used to understand flight safety events of different types. Finally, we propose a roadmap for future research and discuss how categorisation theory could be applied to training or the organisation of flight crew reference material to improve response to inflight events.     

考虑航空战略联盟风险因素的Shapley值收益分配模型

航空联盟已经成为全球航空公司之间重要的合作方式,对航空公司降低成本、提高收入、扩展国际市场等有正向的影响。当航空公司加入航空联盟后,如何对合作后的收益进行合理的分配,将对航空公司的绩效以及航空联盟的稳定性产生重要的影响。为此,本文构建收益最大化为目标的决策模型,分别讨论集中决策和分散决策下两个模型的最优定价和航班频率,以及最优决策下的航空公司和航空联盟的收益。在此基础上,通过模糊综合评价方法评估航空联盟的风险,结合考虑风险的Shapley值方法对联盟的最大化收益进行公平、合理的分配,为加入航空联盟的航空公司提供有效的收益分配解决方案。最后,结合南航的实际情况,将提出的收益分配模型用于制定南航的联盟收益分配方案。