Analysis of Accident Factors based on Changing Patterns of Traffic Culture Index 


Vol. 33,  No. 3, pp. 77-82, Jun.  2018
10.14346/JKOSOS.2018.33.3.77


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  Abstract

This paper aims to analyze the accident based on changing patterns of traffic culture index. For this purpose, this paper particularly focuses on classifying the traffic culture patterns and developing the traffic accidents using panel count data model. The main results are as follows. First, the traffic culture patterns are divided into ‘increasing’, ‘decreasing’ and ‘other’ patterns. The null hypotheses that the number of accident are the same over patterns are rejected. Second, 4 fixed effect negative binomial models which are all statistically significant are developed. Third, the regions with ‘increasing’ pattern are analyzed to be mostly the counties, and to demand the traffic law enforcement. Fourth, the regions with ‘decreasing’ pattern are evaluated to be mainly the districts and to require such the traffic culture as turn signal usage. Finally, the regions with ‘other’ pattern are analyzed to be mostly the cities and to ask for enhancing the level of traffic culture.

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  Cite this article

[IEEE Style]

김태양 and 박병호, "Analysis of Accident Factors based on Changing Patterns of Traffic Culture Index," Journal of the Korean Society of Safety, vol. 33, no. 3, pp. 77-82, 2018. DOI: 10.14346/JKOSOS.2018.33.3.77.

[ACM Style]

김태양 and 박병호. 2018. Analysis of Accident Factors based on Changing Patterns of Traffic Culture Index. Journal of the Korean Society of Safety, 33, 3, (2018), 77-82. DOI: 10.14346/JKOSOS.2018.33.3.77.

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