• hierarchical data clustering analysis of rural traffic accidents, case study: semnan-garmsar road

    جزئیات بیشتر مقاله
    • تاریخ ارائه: 1392/07/24
    • تاریخ انتشار در تی پی بین: 1392/07/24
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     according to the world health organization (who), more than 1.2 million people die each year in motor vehicle accidents and more than 50 million are injured each year worldwide. road traffic accidents are assumed to be social health challenge, as they almost always result in injuries, fatalities and damages. one of the most important issues in rural planning is developing sustainable public transportation. the basic condition for this purpose is statistical analysis on accident data. clustering techniques is considered as a subset of data mining that one of its techniques used for analyzing hotspots. this study focus on hierarchical approach for clustering these data. a real case study (semnan-garmsar road in semnan province) has been studied in this research using pasw (spss) 19. hierarchical method yielded a dendrogram for fatal accidents representing the nested grouping of the pattern for this type of accidents.

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