| Title |
Capacity Analysis of Civil Defense Shelter and Optimal Positioning Using Spatial-Database and Genetic Algorithm |
| Authors |
유수홍(Yoo, Su Hong) ; 배준수(Bae, Jun Su) ; 이지상(Lee, Ji Sang) ; 손홍규(Sohn, Hong Gyoo) |
| DOI |
https://doi.org/10.12652/Ksce.2019.39.6.0955 |
| Keywords |
대피소 선정;Huff 중력 모델;유전자 알고리즘;공간데이터베이스 Shelter positioning;Huff gravity model;Genetic algorithm;Spatial-database |
| Abstract |
Currently, the establishment and management of civil defense shelters are under the initiative of the government and local governments to protect the lives of citizens. In the future, there is a need for efficient civil defense shelters operation through the expansion of general shelters, including designated dedicated shelters. Therefore, it is more efficient to consider the distribution of residents and the location of access to shelters, not the quantitative operation considering only the number of residents. This study uses genetic algorithms and Huff gravity model based on census output data, building data, and road network information to understand the distribution of inhabitants more precisely than existing administrative district data. In addition, the spatial- database was used for efficient data management and fast processing, and if this study is improved, it can be used as a basis for the selection and improvement of general shelters positioning for a wider area. |