This study examined relations of emotional labor, job satisfaction, organizational commitment and turnover intention in nurses. The subjects were 320 nurses in 5 general hospitals. The data was collected using a structured questionnaire from August 1 to 20, 2013 and analyzed with descriptive statistics, t-test, ANOVA, Pearson's correlation, and Hierarchical multiple linear regression analysis. The mean scores of the emotional labor level, job satisfaction level, organizational commitment, and turnover intention was 2.79±.66, 3.05±.48, 3.00±.53, and 3.13±.66, respectively. Positive correlations of the turnover intention with emotional labor were found. Negative correlations were observed among salary, job satisfaction, organizational commitment, and turnover intention. These results showed that nurses working at five general hospitals needed to minimize emotional labor to maintain a comparatively high level of job satisfaction, organizational commitment and decrease the turnover intention.
To establish objective criteria for high pedestrian accident zones, we combined Getis-ord Gi* and Kernel Density Estimation to select high pedestrian accident zones for 54,208 pedestrian accidents in Seoul from 2009 to 2013. By applying Getis-ord Gi* and considering spatial patterns where pedestrian accident hot spots were clustered, this study identified high pedestrian accident zones. The research examined the microscopic distribution of accidents in high pedestrian accident zones, identified the critical hot spots through Kernel Density Estimation, and analyzed the inner distribution of hot spots by identifying the areas with high density levels.Keywords: Pedestrian Accident, Hotspot, Getis-ord Gi*, Kernel Density Estimation This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http:// creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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