Literature DB >> 2222705

Formulating accident occurrence as a survival process.

H L Chang1, P P Jovanis.   

Abstract

A conceptual framework for accident occurrence is developed based on the principle of the driver as an information processor. The framework underlies the development of a modeling approach that is consistent with the definition of exposure to risk as a repeated trial. Survival theory is proposed as a statistical technique that is consistent with the conceptual structure and allows the exploration of a wide range of factors that contribute to highway operating risk. This survival model of accident occurrence is developed at a disaggregate level, allowing safety researchers to broaden the scope of studies which may be limited by the use of traditional aggregate approaches. An application of the approach to motor carrier safety is discussed as are potential applications to a variety of transportation industries. Lastly, a typology of highway safety research methodologies is developed to compare the properties of four safety methodologies: laboratory experiments, on-the-road studies, multidisciplinary accident investigations, and correlational studies. The survival theory formulation has a mathematical structure that is compatible with each safety methodology, so it may facilitate the integration of findings across methodologies.

Mesh:

Year:  1990        PMID: 2222705     DOI: 10.1016/0001-4575(90)90037-l

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  3 in total

1.  Robust Axonal Regeneration Occurs in the Injured CAST/Ei Mouse CNS.

Authors:  Takao Omura; Kumiko Omura; Andrea Tedeschi; Priscilla Riva; Michio W Painter; Leticia Rojas; Joshua Martin; Véronique Lisi; Eric A Huebner; Alban Latremoliere; Yuqin Yin; Lee B Barrett; Bhagat Singh; Stella Lee; Tom Crisman; Fuying Gao; Songlin Li; Kush Kapur; Daniel H Geschwind; Kenneth S Kosik; Giovanni Coppola; Zhigang He; S Thomas Carmichael; Larry I Benowitz; Michael Costigan; Clifford J Woolf
Journal:  Neuron       Date:  2015-05-21       Impact factor: 17.173

2.  Safety analytics at a granular level using a Gaussian process modulated renewal model: A case study of the COVID-19 pandemic.

Authors:  Yiyuan Lei; Kaan Ozbay; Kun Xie
Journal:  Accid Anal Prev       Date:  2022-05-23

3.  Will higher traffic flow lead to more traffic conflicts? A crash surrogate metric based analysis.

Authors:  Yan Kuang; Xiaobo Qu; Yadan Yan
Journal:  PLoS One       Date:  2017-08-07       Impact factor: 3.240

  3 in total

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