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- Title
A Study on the Influence of Animated AcciMap: A System Analysis of Marine Accidents.
- Authors
Park, Man Ki; Hwang, Min Sik
- Abstract
Park, M.K. and Hwang, M.S., 2023. A study on the influence of animated AcciMap: A system analysis of marine accidents. In: Lee, J.L.; Lee, H.; Min, B.I.; Chang, J.-I.; Cho, G.T.; Yoon, J.-S., and Lee, J. (eds.), Multidisciplinary Approaches to Coastal and Marine Management. Journal of Coastal Research, Special Issue No. 116, pp. 513-517. Charlotte (North Carolina), ISSN 0749-0208. The purpose of this study is to conduct a systematic analysis of the causes of the Sewol Ferry sinking accident in South Korea using a Systemic Accidents Analysis approach. This study employed an animation campaign video based on the AcciMap, developed in collaboration with experts in systemic accident analysis and animation research. Data was collected through in-depth interviews conducted before and after watching the campaign video among study participants. The collected data was analyzed through open coding, axial coding, and selective coding in a grounded theory approach. First, open coding was used to classify the experiences before and after watching the campaign video into subcategories and upper categories. Second, axial coding was used to summarize the experiences before and after watching the campaign video into a paradigm model under five conditions. Based on these three types of experience, a theoretical framework was constructed to identify the degree of understanding the accident map analysis method among the study participants and whether there was a change in their existing thoughts. The results of this study provide insight into the effectiveness of accident map-based animation campaign videos in preventing marine safety accidents and thereby identify potential future plans.
- Subjects
CHARLOTTE (N.C.); SYSTEM analysis; COASTAL zone management; MARINE accidents; CODING theory; 3-D animation; GROUNDED theory; COMPUTER-generated imagery; VIDEO compression
- Publication
Journal of Coastal Research, 2023, Vol 116, p513
- ISSN
0749-0208
- Publication type
Academic Journal
- DOI
10.2112/JCR-SI116-104.1