General model analysis of aeronautical accidents involving human and organizational factors

Bandeira, Michelle Carvalho Galvão Silva Pinto, Anderson Ribeiro Correia and Marcelo Ramos Martins

Journal of Air Transport Management, 2018, vol. 69, issue C, 137-146

Abstract: This paper presents the development of a general model of accident analysis according to the principal factors which influence aeronautical accidents. This study aims to develop a general model of accident analysis able to assess any aircraft accident, taking into account the pilot's abilities, as well as human, organizational, and environmental factors the data of this research was collected through literature, aircraft accident report analysis, technical visits to the center of certification of commercial aircraft pilots, survey of pilots and consultation with industry experts. From this model, it is possible to evaluate the influence of these factors and identify their dependence and relationship, and how they influence the system. With the aid of the Bayesian Networks technique, it is also possible to quantify the factors and assess which ones have more impact on the system. The results show the relationship between the factors that can influence the performance of the pilots and, therefore, they may indicate how these factors can impact on the success or failure of tasks related to flight procedures. The identification of the factors in each category (abilities, performance shaping factor, management and organizational factors, environmental factors) that are relevant to the sector. The identification and quantification of the relationship of dependence (arcs in BN and respective CPT) are also part of the innovative contribution of the paper. The results also may indicate subsidies for mitigating actions, collaborating to the management of operational safety of air transport and to assess the overall impact of the factors that determine any accident.

Keywords: General model; Safety; Aviation; Human factors; Management and organization factors; Bayesian networks (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0969699717304544
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:69:y:2018:i:c:p:137-146

DOI: 10.1016/j.jairtraman.2018.01.007

Access Statistics for this article

Journal of Air Transport Management is currently edited by Anne Graham

More articles in Journal of Air Transport Management from Elsevier
Bibliographic data for series maintained by Catherine Liu ().