그림 1. 임계거리에 따른 취약계층 전역적 공간군집도 그래프
그림 2. 취약계층의 BMI 국지적 공간군집도
표 1. 건강도시의 특징[8]
표 2. 방문건강관리사업 대상자(취약계층 요건)
표 3. 수원시 사회위챡계층 비만정도
표 4. 분석자료 및 출처
표 5. 취약계층 건강 양호/취약 밀집지역 비교
DOI QR Code
This study aims to spatialize the gap between obesity levels through the body mass index, an objective indicator of the level of health among vulnerable people. Thus, areas where the BMI showed cluster patterns with spatial high and low values were extracted and the characteristics of the region were analyzed. The analysis showed that the I statistics for the obesity rate were 0.07 and the z-score was 4.39, confirming spatial autocorrelation. For z-score, it was much larger than the maximum threshold of 2.57. This means that the rate of obesity among the socially vulnerable is regional, and this gap is spatially significant. The results of comparing and analyzing the local environment for these areas of obesity and health care were found to be areas with poor public transportation, less readily available parks, and a concentration of single and multi-generation housing. The analysis results of this study are meaningful in that they provide spatial implications for the health of the socially vulnerable class that previous studies have neglected.
Healthy City;Socially Vulnerable Classes;BMI;Spatial Analysis;Hot-Spot Analysis
그림 1. 임계거리에 따른 취약계층 전역적 공간군집도 그래프
그림 2. 취약계층의 BMI 국지적 공간군집도
표 1. 건강도시의 특징[8]
표 2. 방문건강관리사업 대상자(취약계층 요건)
표 3. 수원시 사회위챡계층 비만정도
표 4. 분석자료 및 출처
표 5. 취약계층 건강 양호/취약 밀집지역 비교
Supported by : 한국연구재단