GIS based Emergency Response System for Mandalay

GIS based Emergency Response System for Mandalay

San Hay Mar Shwe

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Htet Ne Oo

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University of Technology (Yadanarpon Cyber City)

GIS based Emergency Response System for Mandalay

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CSTIT171O9

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Abstract

Urban fire is one of the most disturbing problems not only for developing countries but also for developed countries. In spite of the modern techniques of fire prevention and suppression, urban fires continue to damage properties and lives. To tackle this problem, it is required to develop an effective response system on a regional scale. The objective of this paper is therefore to establish a system that can identify the best route from any fire incident to the nearest or closest rescue places such as urban fire emergency services, hospitals, police stations and so on. GIS-based technology is applied in this system for finding the best route by considering traffic data. Both graph theory and network analysis tools in GIS are applied for the purpose of modeling and analyzing transportation networks. A transportation network can be referred to as a valued graph consisting of a set of vertices and a set of edges. In order to compute length of the shortest path from the source to each of the remaining points in the graph, Dijkstra’s algorithm can be used. Comparing to the normal shortest route, the algorithm in this system can provide an optimal route selection, which costs less time and has a higher average speed.

References

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Reference Format

S Ahmed,R Ibrahim,H Hefny (2017). GIS-Based Network Analysis for the Roads Network of the Greater Cairo Area.
Dr Amrapalidabhade,Yogesh Kale,Gedam (2015). Network Analysis for Finding Shortest Path in Hospital Information System.
Ashraf Gubara,Ali Amasha,Zakaria Ahmed,Shawki El Ghazali (2014). Decision support system network analysis for emergency applications.
R Somalia,M Potdar (Octo). Shortest path algorithms on GIS dataset using geotools.
A Dabhade,K Kale,Y Gedam (2015). Network Analysis for Finding Shortest Path in Hospital Information System.
A Bhagat,N Sharma (2013). GIS-Based Application for Emergency Preparedness and Management Accelerating Response System through GIS.
Ashraf Gubara,Ali Amasha,Zakaria Ahmed,Shawki El Ghazali (2014). Decision support system network analysis for emergency applications.
Mohamed Eleiche (2011). A minutes-based metric system for geographic coordinates in mobile GIS.
Samir Khuller,Balaji Raghavachari (1996). Graph and network algorithms.
Graphtheory Unknown Title.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

San Hay Mar Shwe. 2020. \u201cGIS based Emergency Response System for Mandalay\u201d. Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 20 (GJCST Volume 20 Issue H1).

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GJCST Volume 20 Issue H1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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GJCST-H Classification H.2.8

Submission ReceivedDecember 16, 2019
Peer Review Double Blind
Handling Editor
Accepted January 3, 2020
Published January 15, 2020

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v1.2

Issue date

October 16, 2020

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