Ranking and selecting dangerous crash locations: correcting for the number of passengers and Bayesian ranking plots

Journal of Safety Research
Karolien GeurtsDimitris Karlis

Abstract

In this paper a sensitivity analysis is performed to investigate how big the impact would be on the current ranking of crash locations in Flanders (Belgium) when only taking into account the most serious injury per crash instead of all the injured occupants. Results show that this would lead to a different selection of 23.8% of the 800 sites that are currently considered as dangerous. Considering this impact quantity, the researchers want to sensitize government that giving weight to the severity of the crash can correct for the bias that occurs when the number of occupants of the vehicles are subject to coincidence. Additionally, probability plots are generated to provide policy makers with a scientific instrument with intuitive appeal to select dangerous road locations on a statistically sound basis. Impact on industry Considering the impact quantity of giving weight to the severity of the crash instead of to all the injured occupants of the vehicle on the ranking of crash sites, the authors want to sensitize government to carefully choose the criteria for ranking and selecting crash locations in order to achieve an enduring and successful traffic safety policy. Indeed, giving weight to the severity of the crash can correct f...Continue Reading

References

Oct 31, 2002·Journal of Safety Research·Kwok-Suen NgWing-Gun Wong

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Citations

May 30, 2020·International Journal of Injury Control and Safety Promotion·Syyed Adnan Raheel Shah, Naveed Ahmad

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