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Estimation of the influence of protective behaviour on expected injuries in transport accidents with hazardous materials
Bergstra, A.D.; Trijssenaar-Buhre, I.J.M.; Burdorf, A. (2022). Estimation of the influence of protective behaviour on expected injuries in transport accidents with hazardous materials. International Journal of Disaster Risk Reduction 83: 103426. https://dx.doi.org/10.1016/j.ijdrr.2022.103426
In: International Journal of Disaster Risk Reduction. ELSEVIER SCIENCE BV: Amsterdam. ISSN 2212-4209
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| Trefwoord |
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| Author keywords |
Protective behaviour; Transport accidents; Hazardous materials; Discrete choice experiment; Self rescue model |
| Auteurs | | Top |
- Bergstra, A.D.
- Trijssenaar-Buhre, I.J.M.
- Burdorf, A.
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| Abstract |
The release of hazardous materials due to transport accidents can have major health consequences for bystanders. The number of casualties will partly be determined by their protective behaviour.This study describes a three-step approach to predict health consequences of protective behaviour (for example, hiding or escaping) of bystanders in the first minutes of a transport accident with hazardous material. First, a discrete choice experiment (DCE) was used to predict protective behaviour. Second, a gas dispersion model (SeReMo) was used to estimate the distribution of casualties for different protective behaviours. Third, results of the DCE and SeReMo were combined to estimate the distribution of casualties in the population-at-risk. This approach was applied to a hypothetical marine accident with different hazardous material scenarios on a large waterway in a close vicinity of a beach/quay with bystanders.An important finding of our study was that in general a short reaction time and escaping in cross-wind direction, as protective behaviours, are of vital importance to reduce the number of casualties. A scenario with a short reaction time and a visible cloud towards the beach/quay resulted in a protective behaviour with the largest reduction of casualties.A dynamic risk assessment approach considering that people threatened by hazardous material are not ‘stationary observers’, but will exhibit protective behaviour, and a risk assessment that takes into account empirical information on expected protective behaviour will present a more realistic estimate of the number and severity of casualties when a large transport accident with hazardous materials would occur. |
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