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http://dx.doi.org/10.14346/JKOSOS.2018.33.3.77

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

Kim, Tae Yang (Department of Urban Engineering, Chungbuk National University)
Park, Byung Ho (Department of Urban Engineering, Chungbuk National University)
Publication Information
Journal of the Korean Society of Safety / v.33, no.3, 2018 , pp. 77-82 More about this Journal
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.
Keywords
hausman test; quadrant analysis; panel count data model; scheffe post-hoc test; traffic culture index;
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Times Cited By KSCI : 3  (Citation Analysis)
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