Journal of Japan Society for Safety Enginennring
Online ISSN : 2424-0656
Print ISSN : 0570-4480
ISSN-L : 0570-4480
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JOURNAL OF JAPAN SOCIETY FOR SAFETY ENGINEERING_2019_5
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PROPOSAL FOR SAFETY
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  • Yasuto Matsui, Yukiko Nagano, Satoshi Hashimoto, Takenao Yoshizaki
    2019 Volume 58 Issue 5 Pages 337-344
    Published: October 15, 2019
    Released: October 16, 2019
    JOURNALS RESTRICTED ACCESS

    Since the incorporation of national universities in Japan, Kyoto University has prioritized safety management. To clarify the causes of accidents at Kyoto University since 2010, a comparative analysis is conducted by applying natural language processing. Seventy percent of reported accidents can be classified into five categories: “poked with a needle,” “fell down,” “traffic accident,” “exposure to body fluid,” and “cut or scratch.” The plot of the number of monthly accidents is bimodal with maximums in June and November. An analysis based on natural language processing reveals that “fell down” tends to occur when people move from a driveway to a sidewalk on a bicycle, but the typical analysis comparing categories does not reveal such a trend. Additionally, the category, “fell down” can be classified to “contact type” and “slip type.”

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