Text Mining 기법을 활용한 농촌마을 긴급구호서비스 접근 취약성 평가
Evaluation of Vulnerability on Rural Emergency Relief Service using Text Mining
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초록
The rural areas are large residential space with fewer people than urban areas. That is why they are vulnerable to social services such as health care and security. This research analyzed the vulnerability of emergency relief service in rural village through text mining and the weighting value have been calculated. Based on the calculated statistics data, the police facilities are the most important, While the fire fighting and hospital facilities are important as well. In addition, the distance from the emergency relief service facility to the rural village was confirmed by using Open API. By combining these results, The vulnerable areas of the rural villages and the emergency relief service facilities were calculated and classified into 5 levels. For rural areas, the 1st class will have 33 places, following by 1,179 in 2nd class, 199 in 3rd class, 17 in 4th class and 8 in 5th class. Hence in order to further supplement the vulnerable areas to emergency relief service in villages, geographical relocation and policy approach of emergency relief service facilities are necessary.
Abstract
The rural areas are large residential space with fewer people than urban areas. That is why they are vulnerable to social services such as health care and security. This research analyzed the vulnerability of emergency relief service in rural village through text mining and the weighting value have been calculated. Based on the calculated statistics data, the police facilities are the most important, While the fire fighting and hospital facilities are important as well. In addition, the distance from the emergency relief service facility to the rural village was confirmed by using Open API. By combining these results, The vulnerable areas of the rural villages and the emergency relief service facilities were calculated and classified into 5 levels. For rural areas, the 1st class will have 33 places, following by 1,179 in 2nd class, 199 in 3rd class, 17 in 4th class and 8 in 5th class. Hence in order to further supplement the vulnerable areas to emergency relief service in villages, geographical relocation and policy approach of emergency relief service facilities are necessary.
참고문헌 (16)
- Kim, H., "Measuring Spatial Accessibility to Public Health Care Facilities in the Seoul Metropolitan Region", pp.2014
- 김현정, "항공산업 미래유망분야 선정을 위한 텍스트 마이닝 기반의 트렌드 분석", 지능정보연구, 21(1), pp.65~82 (2015), 한국지능정보시스템학회
- 구슬, "화재 출동시간에 근거한 진주시 소방권역 분석", 대한공간정보학회지, 20(4), pp.127~134 (2012), 대한공간정보학회[DOI]
- KOSIS, "Population Projections by Provinces" (2017)
- KREI, "Measures to Establish the Communitybased Welfare System in Rural Area" (2014)
- 이준모, "농촌지역 공공보건시설의 잠재적 접근성 측정", 농촌지도와 개발, 20(2), pp.431~450 (2013), 한국농촌지도학회[DOI]
- National Safety Management Plan, "Ministry of Public Safety and Security", ~ (2016)
- National Fire Data System(NFDS), "Fire Statistical Yearbook" (2016)
- 오창석, "GIS를 활용한 119 구조구급서비스의 도착지체 및 출동배치에 대한 공간분석 − 경상북도 사례 연구 -", 대한토목학회 논문집D, 32(1), pp.13~22 (2012), 대한토목학회
- A Study on the Emergency Response System for Road Accidents, "The Korea Transport Institute(KOTI)", ~ (2014)
- Yang, B., "Thinking about the Equity for the Emergency Medical Service", Journal of the Korean Cartographic Association, 5(1), pp.7~14 (2005)
- 이유진, "의료시설 접근성과 대중교통 접근성이 농촌 및 도시 지역 거주 노인의 주관적 건강상태에 미치는 영향 분석 - 일반화된 순서형 로짓 모형의 적용 -", 한국지역개발학회지, 27(1), pp.65~88 (2015), 한국지역개발학회
- 유순규, "1급응급구조사 자격 유무와 응급처치 빈도 간의 상관 관계", 한국웰니스학회지, 6(1), pp.179~185 (2011), 한국웰니스학회