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http://dx.doi.org/10.14400/JDC.2022.20.3.075

Spatial clustering of pedestrian traffic accidents in Daegu  

Hwang, Yeongeun (Department of Statistics, Daegu University)
Park, Seonghee (Division of Mathematics and Big data science, Daegu University)
Choi, Hwabeen (Division of Mathematics and Big data science, Daegu University)
Yoon, Sanghoo (Division of Mathematics and Big data science, Daegu University)
Publication Information
Journal of Digital Convergence / v.20, no.3, 2022 , pp. 75-83 More about this Journal
Abstract
Korea, which has the highest pedestrian fatality rate among OECD countries, is making efforts to improve the safe walking environment by enacting laws focusing on pedestrian. Spatial clustering was conducted with scan statistics after examining the social network data related to traffic accidents for children and seniors. The word cloud was used to examine people's recognition Campaigns for children and literature survey for seniors were in main concern. Naedang and Yongsan are the regions with the highest relative risk of weak pedestrian for children and seniors. On the contrary, Bongmu and Beomeo are the lowest relative risk region. Naedang-dong and Yongsan-dong of Daegu Metropolitan City were identified as vulnerable areas for pedestrian safety due to the high risk of pedestrian accidents for children and the elderly. This means that the scan statistics are effective in searching for traffic accident risk areas.
Keywords
Children; Pedestrian traffic accident; Scan statistics; Senior; Wordcloud;
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