Title :
Use of GIS data to model the vulnerability of the emergency system to attacks
Author :
Qabaja, Hamzeh ; Bikdash, Marwan
Author_Institution :
Comput. Sci. & Eng., North Carolina A&T State Univ., Greensboro, NC, USA
Abstract :
In an uncertain environment or a catastrophic situation, locating a nearby emergency facility is very essential to save human lives. One complication is that the disaster may itself significantly alter the geographic distribution of available resources. The aim of this research is to automate the process of locating the closest emergency facility based on the level of person´s injury. In this paper, we present data structures that are automatically derived from GIS shapefiles for analysis using Matlab. The data structures emphasize the computational geometric-aspect. In particular, geometric distance and graphic theoretic distance Voronoi diagrams are computed. Further statistical analysis is included.
Keywords :
computational geometry; data structures; emergency services; geographic information systems; mathematics computing; statistical analysis; GIS shapefiles; Matlab; catastrophic situation; computational geometric-aspect; data structures; emergency facility; geographic distribution; geographic information systems; geometric distance; graphic theoretic distance Voronoi diagrams; human lives; person injury; statistical analysis; Data structures; Euclidean distance; Geographic information systems; Hospitals; Injuries; Roads; Statistical analysis; Delaunay triangulation; Shapefile; Spatial network; Voronoi diagram; emergency system;
Conference_Titel :
Southeastcon, 2013 Proceedings of IEEE
Conference_Location :
Jacksonville, FL
Print_ISBN :
978-1-4799-0052-7
DOI :
10.1109/SECON.2013.6567460