DocumentCode :
265287
Title :
Decision support system network analysis for emergency applications
Author :
Gubara, Ashraf ; Amasha, Ali ; Ahmed, Zakaria ; El Ghazali, Shawki
Author_Institution :
Arab Acad. for Sci., Technol. & Maritime Transp., Cairo, Egypt
fYear :
2014
fDate :
15-17 Dec. 2014
Abstract :
Preparedness is the main criteria for immediate response for any emergency response provider (ERP) and decision support system. Emergency Response System can be either for fire emergency response system, or police station emergency response system and healthcare emergency response system. Emergency decision support system is imperative for the reduction of disaster losses and the efficiency improvement of emergency resources allocation. The objective of this paper is to establish a Geographic Information System (GIS) based healthcare emergency response system for services that can identify the optimal route from the location of incident to any healthcare service providers, and the optimal route was modeled based on the distance (the shortest path) to the closest healthcare service providers. Therefore, the main outcome from this research is to provide immediate response to any request for incidents or accidents. Basic idea behind developing this web application is that a case (patient) or incident occurs at a particular location (latitude and longitude). Knowing those locations and mapping them using (GIS) would greatly help in analyzing and visualizing the various factors associated with the incident and thus would help in providing better decision making and quicker response for any incident or accident using ArcGIS Server and web application. The rest of the paper is organized as follows: Section 2 describes the aims and objective of the research, Section 3 discusses the methodology which includes the description of the study area, data inputs and healthcare emergency response model parameters. In section 4, analyses including shortest path, spatial queries and also service area for healthcare providers are displayed. Results are presented and interpretation is illustrated in Section 4. Conclusions and discussions of future research works are outlined in Section 5.
Keywords :
accidents; decision making; decision support systems; disasters; emergency management; fires; geographic information systems; health care; ArcGIS Server; ERP; Web application; accidents; decision making; decision support system network analysis; disaster loss reduction; efficiency improvement; emergency decision support system; emergency resource allocation; emergency response provider; fire emergency response system; geographic information system; healthcare emergency response model parameters; healthcare emergency response system; immediate response; incidents; optimal route; police station emergency response system; spatial queries; Decision support systems; Educational institutions; Emergency services; Fires; Geographic information systems; Hospitals; DSS; Emergency Application; GIS; Network Analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics and Systems (INFOS), 2014 9th International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-977-403-689-7
Type :
conf
DOI :
10.1109/INFOS.2014.7036694
Filename :
7036694
Link To Document :
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