Abstract
A network of serial, parallel and cross-related factors transfers the hazard energy until the accident occurs. This paper aims to discuss the failure of barriers initially built to prevent the accident, the factors that need to be included in the analysis to review human elements and their safeguards, and the need for critical judgment for resilient and accident-alert safe behavior. It is intended to study past accidents and establish relationships between these factors, antecedents and consequences. The availability of a competent team to interpret the chain of events that can lead to the accident is crucial in ending the hazardous energy migration. It is expected to measure the ability to increase or decrease the hazardous energy considering ship collision with oil leak. Analysis of human elements in the project before and after the accident layer factors may suggest changes in safeguards or recommendation of new barriers to the accident.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Rasmussen, J.: Risk management in a dynamic society: a modelling problem. Saf. Sci. 27, 183–213 (1997)
Llory, M.: Acidentes industriais: O custo do silêncio. Multimais Editorial Produções Ltda., Rio de Janeiro (1999)
Reason, J., Hollnagel, E., Paries, J.: Revisiting the Swiss Cheese Model of Accidents. Eurocontrol Experimental Centre, EEC Note No. 12/06, Brétigny-sur-Orge (2006)
IOGP: International Association of Oil & Gas Producers, Safety Performance Indicators – 2014 Data (2015). www.iogp.org
Perrow, C.: Normal Accidents: Living with High Risk Technologies. Princeton University Press, Basic Books, New York, New Jersey (1984)
CCPS: Guidelines for Management of Change for Process Safety, Wiley Editors, EUA (2008)
MAIB: Annual report 1999. Department of the Environment Transport and Regions, London (2000)
Hetherington, C., Flin, R., Mearns, K.: Safety in shipping: the human element. J. Saf. Res. 37, 401–411 (2006)
Primorac, B., Parunov, J.: Review of statistical data on ship accidents. Marit. Technol. Eng. 3, 809–814 (2016)
Ozen, M., Arslan, O., Kececi, T.: Root cause evaluation, the case analysis of ship contact accident to canal lock. In: Seahorse Conference Maritime Safety and Human Factors, Glasgow (2016)
Jackson, L., Alt, M.: Bayesian Networks for the Human Element. US Army Training and Doctrine Command (2013)
Groth, K., Mosleh, A.: Deriving causal Bayesian networks from human reliability analysis data: a methodology and example model. J. Risk Reliab. 226(4), 361–379 (2012)
Hanninen, M., Kujala, P.: The effects of causation probability on the ship collision statistics in the Gulf of Finland. Int. J. Marine Navig. Saf. Sea Transp. 4(1), 79–84 (2010)
Ayala, J., Reis, M.: Gerenciamento de recursos do passadiço. Curso de Formação de Oficiais de Náutica, Marinha do Brasil, Rio de Janeiro (2017)
af Geijerstam, K., Svensson, H.: Ship Collision Risk - An identification and evaluation of important factors in collisions with offshore installations. Department of Fire and Safety Engineering and Systems Safety. Lund University, Sweden, Report 5275 (2008)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Ávila, S., Pereira, L., Ávila, R., Pena, C., Arezes, P., Lima, E.R.F. (2020). Reviewing Tools to Prevent Accidents by Investigation of Human Factor Dynamic Networks. In: Arezes, P., Boring, R. (eds) Advances in Safety Management and Human Performance. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1204. Springer, Cham. https://doi.org/10.1007/978-3-030-50946-0_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-50946-0_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-50945-3
Online ISBN: 978-3-030-50946-0
eBook Packages: EngineeringEngineering (R0)