Identifying the Factors Affecting the Probability of Accident Severity in Community Road - Focusing on Seoul City

You Jin Lim; Hak Ryong Moon; Won Pyoung Kang

doi:10.4028/www.scientific.net/AMM.641-642.860

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 641-642Identifying the Factors Affecting the Probability...

Identifying the Factors Affecting the Probability of Accident Severity in Community Road - Focusing on Seoul City

Abstract:

Since a variety of factors are associated with crash occurrence, the analysis of causes of crash is a hard task for traffic researchers and engineers. This study was attempted to identify factors affecting severity of the community road accidents. In particular, our analyses were focused on the community road accidents. A binary logistic regression technique was adopted for the analyses. The results showed that pedestrians of 65 years or older, cloudy, fence (sidewalk/driveway barrier), drivers of 24 years or younger, left/right turning, female pedestrian, non-business vehicle were dominant factors for the severity.

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Periodical:

Applied Mechanics and Materials (Volumes 641-642)

Pages:

860-865

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.641-642.860

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Cite this paper

Online since:

September 2014

Authors:

You Jin Lim, Hak Ryong Moon*, Won Pyoung Kang

Keywords:

Accident, Accident Factor, Binary Logistic Regression, BLR, Community Road

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* - Corresponding Author

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