Human Error Contribution in Collision and Grounding of Oil Tankers

Martins, Marcelo Ramos; Maturana, Marcos Coelho

doi:10.1111/j.1539-6924.2010.01392.x

Cited by 110 publications

(44 citation statements)

References 3 publications

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“…The required abilities take time to be developed by the professionals, while human factors are related to the current pilot's condition at the time the task will be executed. Among the literature review, it was selected Martins and Maturana (2010), CENIPA report (2013) and Cabral et al (2014). In addition to the literature, the field research already mentioned, contributed to the selection of these factors (see 2.1).…”

Section: Pilot's Abilitiesmentioning

confidence: 99%

Method for measuring factors that affect the performance of pilots

Bandeira¹,

Correia²,

Martins

2017

TRANSPORTES

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This paper presents the development of a model of accident analysis according to the principal factors which influence aeronautical accidents that are able to assess any aircraft accident, taking into account human, organizational, environmental and airport infrastructure factors. The methodology of data collection of this research was through the literature, analysis of aircraft accident reports, technical visits to the center of certification of commercial aircraft pilots and interviews with industry experts. From this model, it is possible to evaluate the influence of these factors and identify the dependence and relationship existing, and how they influence the system. With the aid of Bayesian Networks technique, it is also possible to quantify the factors and assess which ones have more impact in the system. The results show the relationship between the factors that can influence the performance of the pilots and therefore can indicate how it may impact the success or failure of tasks related to flight procedures. The results also may indicate subsidies for mitigating actions, collaborating in the management of operational safety of air transport and assessing the overall impact of the factors that determine any accident. RESUMOEste artigo apresenta o desenvolvimento de um modelo de análise de acidentes de acordo com os principais fatores que influenciam os acidentes aeronáuticos, capaz de avaliar qualquer acidente de aeronave, levando em conta fatores de infraestrutura humana, organizacional, ambiental e aeroportuária. A metodologia de coleta de dados desta pesquisa foi através de literatura, análise de acidentes aeronáuticos, visita técnica no centro de certificação de pilotos de aeronaves comerciais e consultas a especialistas. A partir desse modelo, é possível avaliar a influência desses fatores e identificar as dependências e relações existentes, e como elas influenciam o sistema. Com a ajuda da técnica de Redes Bayesianas também é possível quantificar os fatores e avaliar quais fatores têm mais impacto no sistema. Os resultados mostram a relação entre os fatores que podem influenciar o desempenho dos pilotos e, portanto, indicam como isso pode afetar o sucesso ou o fracasso das tarefas relacionadas aos procedimentos de voo. Os resultados também podem indicar subsídios para ações mitigadoras, colaborar na gestão da segurança operacional do transporte aéreo e avaliar o impacto global dos fatores que determinam qualquer acidente.

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Section: Pilot's Abilitiesmentioning

confidence: 99%

Method for measuring factors that affect the performance of pilots

Bandeira¹,

Correia²,

Martins

2017

TRANSPORTES

Self Cite

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“…At the same time, the sea-line capacity's unceasing expansion, the ships' large scale, as well as the new situation of crew management, all increase the risk probability in the shipping field [1] . The shipping risk has a special character that is dynamic.…”

Section: Introductionmentioning

confidence: 99%

Research on the method of shipping risk early-warning based on matter-element theory

Tan

2011

J. Shanghai Jiaotong Univ. (Sci.)

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The purpose of shipping risk early-warning is that some effective measures are taken to reduce risk probability before the risk brings heavy loss. The shipping risk has the dynamic characteristic, so the key of earlywarning is to choice risk early-warning index correctly and evaluate risk grade quantitatively. According to the element extension theory, the rhombus inference model is applied to establish the index system. And the problem of risk grade evaluation can be solved by the assessment model of multi-index performance parameter, which is developed by the extension engineering method. Finally, the main shipping risks and their grades are identified by the example analysis based on the statistical data, which shows the effective and feasible of the shipping risk early-warning method.

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“…Deniz taşımacılığı literatüründe insan faktörü kavramı sıklıkla kullanılır [1] ve deniz kazaları kapsamında yapılan birçok çalışmada kazaların nedenleri insan hatası ile ilişkilendirilmiştir [2] [3] [4] [5] [6] [7] [8]. Bu nedenle de deniz kazalarının temelinde yatan insan faktörlerini anlamak denizcilik yönetimi ve politikası için anahtar öneme sahiptir [9].…”

Section: Introductionunclassified