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Understanding factors associated with misclassification of fatigue-related accidents in police record
http://hdl.handle.net/2237/00028426
http://hdl.handle.net/2237/00028426ddd18ff5-deb1-47e1-84d6-5ef2f28dfd7c
名前 / ファイル | ライセンス | アクション |
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2018-08-06 | |||||
タイトル | ||||||
タイトル | Understanding factors associated with misclassification of fatigue-related accidents in police record | |||||
言語 | en | |||||
著者 |
Li, Yanyan
× Li, Yanyan× Yamamoto, Toshiyuki× Zhang, Guangnan |
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アクセス権 | ||||||
アクセス権 | open access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_abf2 | |||||
権利 | ||||||
言語 | en | |||||
権利情報 | © 2018. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Fatigue | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Police report | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Misclassification | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Association rule | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | Logistic regression model | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Introduction: Fatigue is one of the riskiest causes of traffic accidents threatening road safety. Due to lack of proper criteria, the identification of fatigue-related accidents by police officers largely depends on inferential evidence and their own experience. As a result, many fatigue-related accidents are misclassified and the harmfulness of fatigue on road safety is misestimated. Method: In this paper, a joint model framework is introduced to analyze factors contributing to misclassification of a fatigue-related accident in police reports. Association rule data mining technique is employed to identify the potential interactions of factors, and logistic regression models are applied to analyze factors that hinder police officers' identification of fatigue-related accidents. Using the fatigue-related crash records from Guangdong Province during 2005–2014, factors contributing to the false positive and false negative detection of the fatigue-related accident have been identified and compared. Results: Some variables and interactions were identified to have significant impacts on fatigue-related accident detection. Conclusions: Based on the results, it can be inferred that the stereotype of certain groups of drivers, crash types, and roadway conditions affects police officers' judgment on fatigue-related accidents. Practical applications: This finding can provide useful information for training police officers and build better criteria for fatigue identification. | |||||
言語 | en | |||||
内容記述 | ||||||
内容記述タイプ | Other | |||||
内容記述 | ファイル公開:2021-02-01 | |||||
言語 | ja | |||||
出版者 | ||||||
出版者 | Elsevier | |||||
言語 | en | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
出版タイプ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1016/j.jsr.2017.12.002 | |||||
ISSN | ||||||
収録物識別子タイプ | PISSN | |||||
収録物識別子 | 0022-4375 | |||||
書誌情報 |
en : Journal of Safety Research 巻 64, p. 155-162, 発行日 2018-02 |
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著者版フラグ | ||||||
値 | author |