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연안거주민에 대한 재해대응능력 평가 연구

A Study on Assessing Disaster Response Capacity for Coastal Residents

  • 투고 : 2014.06.05
  • 심사 : 2014.07.29
  • 발행 : 2014.10.31

초록

Recently the frequency of coastal disasters caused by global warming is increasing and the damage is becoming greater. Therefore, the Korean government is establishing various policies and measures to minimize damage. For disaster prevention, this study will evaluate the disaster response capacity of each local resident(Eup/Myeun/Dong) in coastal areas through the survey. The purpose of this study is to quantitatively understand the disaster response capacity and analyze spatial autocorrelation between hot spots(vulnerable area) and cold spots. Thus this study was conducted a survey of 311 towns(Eup/Myeun/Dong) about the disaster response capacity of coastal residents. As a result, Namhae has the highest average score(4.9). On the contrary, Hampyeong has the lowest(1.6). Coastal residents in Namhae seem to have better understanding of first aid and preventive maintenance. But coastal residents in Hampyeong seem to not have these characteristics. Afterwards, this study builds a database of disaster response capacity, and analyzes it using the spatial autocorrelation method. Finally, the area of hot spots and cold spots for disaster response capacity was quantitatively detected.

키워드

참고문헌

  1. Bae, Cheon-Jik(2012). Development Plan of Disaster Relief Education, 2012 Korean Association for Crisis and Emergency Management, Autumn Conference. (in Korean)
  2. Board of Audit and Inspection(2003). Results of Audit and Inspection for Preparation to Natural Disaster in Seoul. (in Korean)
  3. Choi, Heon-Woo Kim, Kye-Hyun Lee, Cheol-Yong(2007). Application of Spatial Autocorrelation for the Spatial Distribution Pattern Analysis of Marine Environment - Case of Gwangyang Bay -, Journal of Korean Association of Geographic Information Studies, 10(4), 60-74. (in Korean)
  4. Getis, A. J. K. Ord.(1992). The Analysis of spatial association by use of distance statistics, Geographical Analysis, 24(3): 186-206.
  5. Griffith, D. A.(2009). Spatial Autocorrelation, International Encyclopedia of Human Geography, 308-316.
  6. Kang, Tae-Soon Moon, Seong-Rok Nam, Soo-Yong Shim, Jae-Seol(2010). The Vulnerability of the Reclaimed Seashore Land Attendant Upon Storm Surge/Coastal Inundation, Journal of Korean Society of Ocean Engineering, 24(1), 68-75. (in Korean)
  7. Korea Hydrographic and Oceanographic Administration(2013), Development of Coastal Disaster Vulnerability Assessment System. (in Korean)
  8. Lee, Jeong-Hoon Kim, Ssang-Il Han, Kyeong- Soo Lee, Yang-Won(2011). Hotspot Detection for Land Cover Changes Using Spatial Statistical Methods, Journal of Korean Journal of Remote Sensing, 27(5), 601-611. (in Korean) https://doi.org/10.7780/kjrs.2011.27.5.601
  9. Lee, Ki-Woo(2003). Decentralization of Local Government and Public Participation, Yoksannet, 6-20. (in Korean)
  10. Lee, Sang-Il Cho, Dae-Heon Son, Hak-Ki Chae, Mi-Ok(2010). A GIS-Based Method for Delineating Spatial Clusters: A Modified AMOEBA Technique, Journal of Korean Geographical Society, 45(4), 502-520. (in Korean)
  11. Noh, Chun-Hee Song, Cheol-Ho(1998). Policy Operations to Utilize the Private Sectors in Urban Emergency Management, Journal of Korean Urban Management Association, 11, 1-50. (in Korean)
  12. Seong, Ki-Hwan(2005). Improvement of Law and Institution for Disaster Relief System in Korea, Journal of Korean Society of Hazard Mitigation, 5(4), 32-41. (in Korean)