Analysis on work zone characteristics in south korean expressways using text mining technique

Abstract

The study proposes the association between work zone types and work zone lane closure types used in the construction of South Korean expressways through the use of the text mining and association analysis techniques. Of the factors that greatly affect the capacity of work zones, work zone lane closure types and night work were analyzed. Words were extracted from the narrated work types using the text mining technique, and the associations among the words, lane closure types, and night work variables were identified. The analysis revealed a significant difference between the work types associated with main lane closure and shoulder lane closure. It is expected that this study can be effectively applied to establishing transportation management plans (TMPs) for work zones.