内航タンカーにおけるヒヤリ･ハット報告のウェブシステム化とデータマイニングの活用

DOI

書誌事項

タイトル別名
  • Effects of Web System for Near Miss Reports from Oil Tanker of Japanese Coastal Shipping and Utilization of Data Mining for the Analysis

抄録

<p> Handwriting near miss report, which is a traditional way in the Japanese coastal tankers, inhibits the practical and quick analysis; as a result, it takes long time for effective feedback.</p><p> In this study, first, the authors developed the web system for reporting near miss to solve these problems. The issues emerged in the process of developing and operating the system were discussed from both technical and business point of view.</p><p> Secondly, the digitized data collected by the developed system were analyzed by data mining technique; near miss data can be categorized into 21 factors based on 4M(Man, Machine, Media and Management) as typical items. Additionally, it was clarified that reporting the hypothetical near miss, which a crew expected to likely occur, led to developing risk prediction skills.</p><p> Finally, the deviations obtained from report proportions between actual near miss and hypothetical one on the above 21 factors was studied; it was found that the deviations can be used as an index to extract items for the criterion of safety education.</p>

収録刊行物

詳細情報 詳細情報について

  • CRID
    1391694356263939328
  • NII論文ID
    130007957520
  • DOI
    10.34486/jmetsjournal.5.0_1
  • ISSN
    24356557
    24337749
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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