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http://dx.doi.org/10.7319/kogsis.2015.23.2.003

Analysis of Temporal and Spatial Distribution of Traffic Accidents in Jinju  

Sung, Byeong Jun (BK21+, Urban Engineering, Gyeongsang National University)
Bae, Gyu Han (BK21+, Urban Engineering, Gyeongsang National University)
Yoo, Hwan Hee (BK21+, Urban Engineering, Gyeongsang National University)
Publication Information
Journal of Korean Society for Geospatial Information Science / v.23, no.2, 2015 , pp. 3-9 More about this Journal
Abstract
Since changes in land use in urban space cause traffic volume and it is closely related to traffic accidents. Therefore, an analysis on the causes of traffic accidents is judged to be an essential factor to establish the measure to reduce traffic accidents. In this regard, the analysis was conducted on the clustering by using the nearest neighbor indexes with regard to the occurrence frequencies of commercial and residential zone based on traffic accident data of the past five years (2009-2013) with the target of local small-medium sized city, Jinju-si. The analysis results, obtained in this study, are as follows: the occurrence frequency of traffic accidents was the highest in spring and the lowest in winter respectively. The clustering of traffic accident occurrence at nighttime was stronger than at daytime. In addition, terms of the analysis on the clustering of traffic accident according to land use, changes according to the seasons was not significant in commercial areas, while clustering density in winter tended to become significantly lower in residential areas. The analysis results of traffic accident types showed that the side-right angle collision of cars was the highest in frequency occurrence, and widespread in both commercial areas and residential areas. These results can provide us with important information to identify the occurrence pattern of traffic accidents in the structure of urban space, and it is expected that they will be appropriately utilized to establish measures to reduce traffic accidents.
Keywords
Traffic Accident; Time Series; Occurrence Frequencies; Clustering; Commercial Area; Residential Area; Land Use; Urban Space Structure;
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Times Cited By KSCI : 1  (Citation Analysis)
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