Geospatial Intelligent Decision Support System Conceptual Framework for Disaster Management in Developing Countries

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2019 by IJCTT Journal
Volume-67 Issue-5
Year of Publication : 2019
Authors : Christina Albert Rayed Assad
DOI :  10.14445/22312803/IJCTT-V67I5P121

MLA

MLA Style:Christina Albert Rayed Assad"Geospatial Intelligent Decision Support System Conceptual Framework for Disaster Management in Developing Countries" International Journal of Computer Trends and Technology 67.5 (2019):124-129.

APA Style: Christina Albert Rayed Assad (2019). Geospatial Intelligent Decision Support System Conceptual Framework for Disaster Management in Developing Countries International Journal of Computer Trends and Technology, 67(5), 124-129.

Abstract
Today GIS technology is using in different fields for intelligent decisions in disaster management. Many conceptual frameworks for disaster management the first aimed at helping the decision makers. Particularly Intelligent Decision Support System (IDSS) conclude the integration between the real time data expert system and model computations for taking the right decision in the right time. In this paper, the researcher presents a geospatial intelligent decision support system conceptual framework for Disaster Management in developing countries. This conceptual framework can help decision makers to decrease the damage and trapped or injured people in disaster areas. Also, this conceptual framework will support the medical services and save lives in the right time.

Reference
[1] Densham P, Spatial Decision Support Systems. In D.J. Maguire, M.F. Goodchild, and D.W. Rhind (eds) Geographical Information Systems: Principles and Applications, Vol.1, pp. 403-412, London: Longman, 1991.
[2] Malczewski J, GIS and Multicriteria Decision Analysis. New York, John Wiley, 1999.
[3] Keenan P, Using a GIS as a DSS Generator, University College Dublin, 1997. Available online, athttp://mis.ucd.ie/staff/pkeenan/gis_as_a_dss.html [accessed February 18, 2007].
[4] Bizoi, M., Sisteme suport pentru decizii. Utilizare. Tehnologie.Construire, PhD report 1, Academia Român?, 2007.
[5] Rinner C, Raubal M, Personalized Multi-Criteria Decision Strategies in Location-based Decision Support. Journal of Geographic Information Sciences 10(2), 2004,pp.149-156
[6] Raubal M, Rinner C, Multi-Criteria Decision Analysis for Location Based Services. In S.A. Brandt (ed.) Proceedings of the 12th International Conference on Geoinformatics, 2004, pp. 47-53
[7] Rinner C, Raubal M, Spigel B, User Interface Design for Location-Based Decision Services. In Proceedings of the 13th International Conference on Geoinformatics, 17-19, Toronto, Canada, August 2005.
[8] Rushton, G., Spatial Decision Support Systems. In Smelser, E.-i.-C. N. J. and Baltes, P. B., editors, International Encyclopedia of the Social & Behavioral Sciences, pages 14785–14788. Pergamon, Oxford, 2001.
[9] Sugumaran, Ramanathan, John Degroote, Vijayan Sugumaran, Spatial Decision Support Systems, CRC Press, Taylor and Francis Group, LLC; Boca Raton, Florida, 2010.
[10] Hosack, B., Hall, D., Paradice, D., and Courtney, J., A Look Toward the Future: Decision Support Systems Research is Alive and Well. Journal of the Association for Information Systems, 13(5), 2012.
[11] Chang, K.-T., Wan, S., and Lei, T.-C., Development of a spatial decision support system for monitoring earthquakeInternational induced landslides based on aerial photographs and the finite element method. International Journal of Applied Earth Observation and Geoinformation, 12(6), 2010, pp. 448–456.
[12] UN International Strategy for Disaster Reduction, “UNISDR terminology on disaster risk reduction (2009), http://www.unisdr.org/eng/terminology/terminology-2009-eng.html, August 2012.
[13] P. Blaikie, T. Cannon, I. Davis, B. Wisner , At Risk: Natural Hazards, People`s Vulnerability and Disasters. Routledge, London, 1994.
[14] R.P. Hampel, “Tuscaloosa County Emergency Management Cycle” Available in:www.tuscoema.org/cycle.html, 2004.
[15] C. Kelly, “Simplifying Disasters: Developing a model for complex Non-Linear Events”Proc. of Int. Conf. on Disaster Management: Crisis and Opportunity: Hazard Managementand Disaster Preparedness in Australasia and Pacific Region, 1998, pp. 25-28.
[16] Susan L Cutter, GI Science, Disasters, and Emergency Management, Transactions in GIS, Blackwell Publishing Ltd,7(4), 2003, pp.439– 445.
[17] INTOSAI Professional Standards Committee, Use of Geospatial Information in Auditing Disaster Management and Disaster-related Aid, http://www.intosai.org.
[18] Harrison C., Eckman B., Hamilton R., Hartswick P., Kalagnanam J., Paraszczak J., Williams P., "Foundations for smarter cities". IBM Journal of Research and Development (volume 54, issue 4), pages 1-16, July- Aug 2010.
[19] Aggarwal, A.K., A Taxonomy of Sequential Decision Support Systems , University of Baltimore, USA, http://www.informingscience.org/proceedings/IS2001Proceedings/pdf.aggarwalEBKAtaxa.pdf), 2001.
[20] Marincioni, F., Information Technologies and The Sharing of Disaster Knowledge: The Critical Role of Professional Culture, Disasters, 31, 4, 2007, pp. 459?476.
[21] Williams, G. ,Batho, S. and Russell, L., Responding To Urban Crisis: The Emergency Planning Response To The Bombing of Manchester City Centre. Cities, Vol. 17, No. 4, 2000, pp.293–304.
[22] Harrald, J.R., Agility and Discipline: Critical Success Factors for Disaster Response, The ANNALS of the American Academy of Political and Social Science. , 2006.
[23] NRC, Succesful Response Starts with a Map: Improving Geospatial Support for Disaster Management , Commitee on Planning for Catastrophe, National Research Council on National Academics, The National Academies Press, Washington DC, USA, 2007.
[24] Ramsey E W, Hodgson M E, Sapkota S K, Laine S C, Nelso G A, and Chappell D K Forest impact estimated with NOAA AVHRR and Landsat TM data related to a predicted hurricane windfield distribution. International Journal of Remote Sensing 77, 2001, pp. 279 –292.
[25] Chen, A. Y., Peña Mora, F., and Ouyang, Y., A collaborative GIS framework to support equipment distribution for civil engineering disaster response operations, Automation in Construction, 20(5), 2011, pp.637–648.
[26] William E. Roper, Geospatial Informatics Applications for Disaster Management, George Mason University.
[27] Flávio E. A. Horita and João P. de Albuquerque, An Approach to Support Decision-Making in Disaster Management based on Volunteer Geographic Information (VGI) and Spatial Decision Support Systems (SDSS), Proceedings of the 10th International ISCRAM Conference – Baden-Baden, Germany, May 2013.
[28] Kobbacy, K., Vadera, S. & Rasmy, M.H., AI and OR in management of operations: history and trends, Journal of the Operational Research Society, vol.58, 2007, pp. 10-28.
[29] Kobiyama, M.; Mendonça, M.; Moreno, D.A., Marcelino, I.P.V.O.; Marcelino, E.V., Gonçalves, E.F., Brazetti, L.L.P., Goerl, R.F., Molleri, G.S.F., Rudorff, F.M., Prevenção de Desastres Naturais, 1st ed.; Organic Trading: Florianópolis, Brazil, 2006, pp. 20–25.
[30] Zimin Zhang, Qi Li, An Open Urban Emergency Decision Support System, The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008.
[31] Mohamad Dbouk, Hamid Mcheick and Ihab Sbeity CityPro, An Integrated City-Protection Collaborative Platform, The 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN, 2014.

Keywords
Disaster Management, Spatial Decision Support System (SDSS), Spatial Database Management System, geospatial information, mobile decision-making, Geographic Information Systems (GIS)