Extraction and Extended Analysis of Good Jobs from Safety Reports Using Text Mining -Focusing on the Voluntary Information Contributory to Enhancement of the Safety (VOICES) Data

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原文链接

NETL

外文摘要：To incorporate Safety-Ⅱ, which pertains to the continuation of stable operations, into safety management, we must understand why and how everyday operations are successfully carried out. However, there are no effective methods that enable such analysis since successful operations do not have to be reported in depth and are rarely analyzed. In this research, we extracted and undertook an additional analysis of the efforts or actions practiced at the sharp end to make things go right (Good Jobs) from safety reports describing events where an accident or a disaster had been successfully avoided or overcome. Specifically, we analyzed the Voluntary Information Contributory to Enhancement of the Safety (VOICES), which is one of the safety reports widely used in the field of Japanese aviation and is open to the public. In this paper, the discussions are focused on the practical analysis of the extracted Good Jobs so that they could be evaluated in depth.

外文关键词：

Safety reportsSafety-ⅡGood jobsText miningAviation

作者：

Tsubasa Takagi、Ayumu Osawa、Miwa Nakanishi

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作者单位：

Keio University, Yokohama, Kanagawa 223-8522, Japan

会议名称：

International conference on human-computer interaction;International conference on human interface and the management of information

会议母体文献：

Human Interface and the Management of Information

页码：

439-454

出版时间：

2021

DOI：

10.1007/978-3-030-78361-7_34