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http://dx.doi.org/10.12652/Ksce.2018.38.6.0895

A Study on the Efficiency Evaluation of the Improvement Project for School Zone Using DEA  

Kang, Myung Sik (Yangju City Hall)
Kang, Tae Euk (Kyonggi University)
Ju, Jung Hee (Kyonggi University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.38, no.6, 2018 , pp. 895-906 More about this Journal
Abstract
The improvement project for school zone in Korea is occurring mostly in kindergartens and elementary schools in which children are mainly active, and is being promoted as part of measures to prevent children's traffic accidents. However, since the study on the essential installation facilities and proper level of safety facilities for School zone is lacking, this study relatively evaluated the efficiency of safety facility installation using DEA (Data Envelope Analysis) and suggested improvement plan. We built the facilities and incident data for 28 school zones in Hwaseong City. Six major facilities (Raised intersection, Raised crosswalk, Protective fence, Skid Proof, Speed hump, Speed cameras) that have proven to be effective in the preceding research were analyzed as input factors. As a result of the analysis, only 12 out of 28 showed efficiency and 16 out of efficiency. Effective groups of school zones were found to have fewer installed Protective fences, Skid Proof, and Speed cameras installations than school zones classified as ineffective groups. Protective fences were found to be efficient even if only 47% of the total extension of the school zone was installed, and the number of slip prevention facilities was 8.7 per square km. The number of subjects to be compared is 28, so this study is limited to use as a relative efficiency evaluation index, and it can be grouped into nationwide units and efficiency evaluation can be done for each group.
Keywords
School zone improvement project; DEA (Data Envelopment Analysis); Efficiency of installation of safety facilities; Efficiency group; Inefficient group;
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Times Cited By KSCI : 1  (Citation Analysis)
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