A Study on Crowd Evacuation Simulation Validation Method using The Safeguard Validation Data Set (SGVDS) 1 and 2 


Vol. 39,  No. 3, pp. 50-59, Jun.  2024
10.14341/JKOSOS.2024.39.3.50


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  Abstract

The Chemical Substances Control Act of South Korea mandates submission of transportation plans containing information on the transportation of hazardous chemicals, with over 600,000 submissions recorded annually. In this study, big data analysis was performed on 2,506,985 transportation plans to identify trends and assess their correlation with chemical transportation accidents. The analysis confirmed that despite NaOH accounting for 20.7% of transportation plans, HCl constitutes 40% of chemical transportation accidents, which indicates a correlation of these accidents with the chemical properties of hazardous substances rather than with the number of submitted transportation plans. Furthermore, chemical transportation accidents show a higher probability of occurrence in the 6–8 am and 6–8 pm windows, which is in agreement with higher incidence and fatality rates. The departure points of transportation plans are closely related to the characteristics of local chemical industrial complexes such as Ulsan, Yeosu, and Gunsan, whereas the arrival points are closely related to Pyeongtaek, Hwaseong, and Icheon, which are the locations of semiconductor industries. Ultimately, achievement of safety by consideration of characteristics of transported chemicals, enhancement of driver concentration during specific times, and implementation of preventive measures tailored to local government characteristics are strategies anticipated to contribute to a reduction in chemical transportation accidents.

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  Cite this article

[IEEE Style]

이승현, 이재민, 김현철, "A Study on Crowd Evacuation Simulation Validation Method using The Safeguard Validation Data Set (SGVDS) 1 and 2," Journal of the Korean Society of Safety, vol. 39, no. 3, pp. 50-59, 2024. DOI: 10.14341/JKOSOS.2024.39.3.50.

[ACM Style]

이승현, 이재민, and 김현철. 2024. A Study on Crowd Evacuation Simulation Validation Method using The Safeguard Validation Data Set (SGVDS) 1 and 2. Journal of the Korean Society of Safety, 39, 3, (2024), 50-59. DOI: 10.14341/JKOSOS.2024.39.3.50.

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