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Article

Disaster Mitigation in Urban Pakistan Using Agent Based Modeling with GIS

1
Department of Computer Software Engineering, Military College of Signal, National University of Sciences and Technology, Islamabad 44000, Pakistan
2
Department of Information Security, Military College of Signal, National University of Sciences and Technology, Islamabad 44000, Pakistan
3
Department of Humanities & Basic Sciences, Military College of Signal, National University of Sciences and Technology, Islamabad 44000, Pakistan
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(4), 203; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9040203
Received: 30 January 2020 / Revised: 18 March 2020 / Accepted: 25 March 2020 / Published: 27 March 2020
(This article belongs to the Special Issue Geo-Informatics in Resource Management)
This study aims to propose an application of agent based modeling (ABM) and simulation for disaster mitigation in an urban region of Pakistan. Pakistan has been working over the past few decades to reduce the risk factor of disasters by using different disaster management approaches. However, these efforts are in an early stage. Although lack of planning and unchecked urbanization are the main hurdles, insufficient resources in terms of technology is also a major contributing factor that impedes achieving desired results. In this paper, we are proposing ABM and simulation of approaches using geographical information system (GIS) maps for disaster management in the urban locality of Pakistan. The conceptual model was implemented for analysis of resource allocation (RA) of first response units (ambulances, fire brigade, etc.). In the proposed model, we used two allocation algorithms; high severity level (HSL) and first come first serve (FCFS). These algorithms were simulated in NetLogo by creating a hypothetical disaster scenario in Rawalpindi city. In our experiments, the design was based on demand, resource agents, and their allocation behavior for disaster management. We analyzed the resource allocation mechanism using average wait time, overall number of demands, execution time, and unallocated demands as performance measures. View Full-Text
Keywords: agent based modeling; disaster management; resource allocation; high severity level; first come first serve; geographical information system agent based modeling; disaster management; resource allocation; high severity level; first come first serve; geographical information system
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MDPI and ACS Style

Maqbool, A.; Usmani, Z.u.A.; Afzal, F.; Razia, A. Disaster Mitigation in Urban Pakistan Using Agent Based Modeling with GIS. ISPRS Int. J. Geo-Inf. 2020, 9, 203. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9040203

AMA Style

Maqbool A, Usmani ZuA, Afzal F, Razia A. Disaster Mitigation in Urban Pakistan Using Agent Based Modeling with GIS. ISPRS International Journal of Geo-Information. 2020; 9(4):203. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9040203

Chicago/Turabian Style

Maqbool, Ayesha, Zain u.A. Usmani, Farkhanda Afzal, and Alia Razia. 2020. "Disaster Mitigation in Urban Pakistan Using Agent Based Modeling with GIS" ISPRS International Journal of Geo-Information 9, no. 4: 203. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9040203

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