Identifying the Relationship Between Severe Crash Frequency and the Characteristics of Old Industrial Complexes(Presentation 686)

As industrial complexes that have been constructed to promote remarkable industrial and economic development in Korea have been aging, a variety of problems have risen. One of the problems is the human and/or property losses caused by traffic crashes occurred within industrial complexes. The purpose of this study is to identify a relationship between characteristics of old industrial complexes operated for more than 20 years and frequency of fatal and major injured crashes. The traffic accident data of each old industrial complex from 2011 to 2015 were collected from the Road Traffic Authority. For the analysis, a negative binomial regression model was estimated with a total of six independent variables representing the characteristics of industrial complexes and a dependent variable, frequency of severe crashes. Four variables were found to be statistically significant: type of industrial complex, location of industrial complex, number of tenant companies per square meter, and national industrial complex in the capital area. The results show that old industrial complexes that are vulnerable in terms of traffic safety are those that are large-scale complexes with many tenant companies, and are located outside the capital area. Therefore, while the Ministry of Land, Infrastructure, and Transport implements large regeneration projects for old industrial complexes, consuming massive amounts of the national revenue, the findings described here need to be considered when determining appropriate industrial complexes. In particular, old industrial complexes outside the capital area seem to more urgently require investments in the road infrastructure and efficient traffic management.