Is there a need for new theories, models and approaches to occupational accident prevention?

Hovden, Jan Fredrik; Albrechtsen, Eirik; Herrera, Ivonne

doi:10.1016/j.ssci.2009.06.002

Cited by 92 publications

(51 citation statements)

References 15 publications

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“…Statistical modeling can be used to help explain the phenomena of the accidents. 16 We found that these accidents were mainly independent and random in nature, reflecting an uncertainty and fluctuation in the occurrence requiring statistical modeling due to their inherent nature. 17 Work-related accidents are the result of multiple factors including individual behaviors, environmental factors, and workplace conditions.…”

Section: Discussionmentioning

confidence: 90%

Work-related accidents among the Iranian population: a time series analysis, 2000–2011

Karimlou

Salehi

Imani

et al. 2015

International Journal of Occupational and Environmental Health

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Background: Work-related accidents result in human suffering and economic losses and are considered as a major health problem worldwide, especially in the economically developing world. Objectives: To introduce seasonal autoregressive moving average (ARIMA) models for time series analysis of work-related accident data for workers insured by the Iranian Social Security Organization (ISSO) between 2000 and 2011. Methods: In this retrospective study, all insured people experiencing at least one work-related accident during a 10-year period were included in the analyses. We used Box-Jenkins modeling to develop a time series model of the total number of accidents. Results: There was an average of 1476 accidents per month (1476.05¡458.77, mean¡SD). The final ARIMA (p,d,q) (P,D,Q) s model for fitting to data was: ARIMA(1,1,1)6(0,1,1) 12 consisting of the first ordering of the autoregressive, moving average and seasonal moving average parameters with 20.942 mean absolute percentage error (MAPE). Conclusions: The final model showed that time series analysis of ARIMA models was useful for forecasting the number of work-related accidents in Iran. In addition, the forecasted number of work-related accidents for 2011 explained the stability of occurrence of these accidents in recent years, indicating a need for preventive occupational health and safety policies such as safety inspection.

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Section: Discussionmentioning

confidence: 90%

Work-related accidents among the Iranian population: a time series analysis, 2000–2011

Karimlou

Salehi

Imani

et al. 2015

International Journal of Occupational and Environmental Health

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“…Firstly, there is much scope for the further development of 'hybrid' accident models based on the basic Accimap format. Rather than develop new models, there is plenty of scope to 'mix and match' and 'remix' many of the model which already exist (Hovden et al, 2010;Le Coze, 2013). The combination of the HFACS method and Accimaps for example, has already been undertaken by some studies (e.g., study 19), but this could be expanded, or at least experimented with (i.e., in keeping with the spirit of 'bricolage described earlier).…”

Section: Summary and New Directionsmentioning

confidence: 99%

‘Remixing Rasmussen’: The evolution of Accimaps within systemic accident analysis

et al. 2017

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“…Reference [36] defines accident investigation (AI) as the structural process of uncovering the sequence of events that produced or had the potential to produce injury, death, property damage and/or loss, to determine the causal factors (root and surface causes), impacts and corrective action while reference [32] proposes that the idea of accident investigation is to apply analytical techniques to find the cause and consequences of accident. Investigation employs test of engineering experiments to discover the rate of accident root causes and consequences while answering the question of why the accident happened [32] The American Bureau of Shipping [37] asserts that the role of the accident investigation process is to provide proper safeguard to prevent and mitigate accident effects.…”

Section: Accident Investigation Theoriesmentioning

confidence: 99%

Analysis of Vessel-Based Marine Accidents and the Economic Risks to Nigeria

Chinonyerem¹

2017

WROS

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Abstract:The aim of the study is to evaluate the economic loss of vessel-based marine accidents to Nigeria and the impact on marine transport sub-sector output and/or performance. Time series data of 30 years were gathered from the Central Bank of Nigeria (CBN) statistical bulletin, the Nigeria insurance digest, the Organization of Petroleum Exporting Countries (OPEC) annual statistical report. The contribution of marine transport to the Gross Domestic Product (Y), shipping accident economic loss (X 1 ), economic losses of offshore oil and gas (O&G) drilling accidents (X 2 ), and marine oil spill accidents economic losses (X 3 ) were obtained and used as the explanatory(independent) variables. The data was analyzed using multiple regression method with Y as the dependent variable. The hypotheses were tested using t-test. The findings of the study indicates that shipping accidents economic losses and economic losses of offshore oil and gas drilling accidents shows significant impact on the output of the marine transport sub-sector over the period covered by the study. The model expressing the quantitative relationship between GDP marine transport (Y), shipping accidents economic loss (X 1 ), economic loss of offshore oil and gas drilling accidents (X 2 ) and marine oil spill accidents loss (X 3 ) is: Y = 332156363.1 + 0.167X 1 + 0.837X 2 + 0.203X 3 + e. it was recommended that investment in safety policies and standards be improved with greater focus in reducing accidents induced economic losses in shipping and offshore O&G drilling maritime operations.

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Is there a need for new theories, models and approaches to occupational accident prevention?

Cited by 92 publications

References 15 publications

Work-related accidents among the Iranian population: a time series analysis, 2000–2011

Work-related accidents among the Iranian population: a time series analysis, 2000–2011

‘Remixing Rasmussen’: The evolution of Accimaps within systemic accident analysis

Analysis of Vessel-Based Marine Accidents and the Economic Risks to Nigeria

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