Yıl 2018, Cilt 25, Sayı 3, Sayfalar 961 - 979 2018-12-28

Afet Yönetiminde CBS Tabanlı Karar Destek Sistemi Uygulamaları
GIS-based Decision-Support System Applications in Disaster Management

Serpil GERDAN [1]

15 33

Etkili bir afet ve acil durum yönetim anlayışı CBS gibi teni teknlojileri kullanmayı gerektirir. Bu anket çalışması, Marmara bölgesindeki belediyeler ile afet ve acil durum yönetiminden sorumlu ve ilgili diğer kurumlarının CBS'yi kullanım düzeyleri ile afet yönetimi konusunda kurumlararası işbirliği çalışmalarının düzeyini belirlemek amacıyla yapılmıştır. Çalışma ile ayrıca CBS gibi teknolojlerin kullanımına ait zorluklar da araştırılmaya çalışılmıştır.  Katılımcıların çoğu kurumlarının  afet ve acil durum müdahale planlarının olduğunu ve Coğrafi Bilgi Sistemlerinden (GIS) yararlandıklarını belirtmiştirler. Ayrıca katılımcılar afet ve acil durum süresince ortaya çıkan acil ihtiyaçlar ile zaman baskısının afet veya acil durumu yönetmeyi zorlaştırdığını düşünmektedirler. 

Effective decision-making in disaster requires new tools such as geographic information system (GIS). This study examines how to use GIS tools disaster management organizations and do they have GIS-based decision support system. Furthermore it investigates whether organizations can collaborate with other organizations and what are the challenges during the crises or disaster events.  We found that respondents in the survey indicated that all of their organization related to disaster management in Marmara region in Turkey use GIS and they strongly agree that their organization has a disaster and emergency response plan. They agree that emergency response is challenging because of criticality of the task itself and limited response time. Limited time and time pressure is the two major challenges of disaster management because each planning action considered at the ordinary time. But in times of crisis, unplanned situations may occur. That's why disaster management needs to GIS-based emergency response planning and decision support system.

  • Abramson, M. Chao, W., Macker, J., Mittu, R. (2006). Coordination in Disaster Management and Response: a Unified Approach. Retrieved from: https://pdfs.semanticscholar.org/9b01/89ca4d9b056139f3c24d027ebc6f394be712.pdf
  • A. Ertug Gunes and Jacob P. Kovel. (2000). Using GIS In Emergency Management Operations. Journal Of Urban Planning and Development, 126(3): 136-149
  • Akbulut, F., Gerdan, S. (2016). An Evaluation of the Infrastructure of Kocaeli Metropolitan Municipality Information Technologies (IT) in Terms of Disaster Management. Academic Journal of Information Technology (AJIT-E), 7(22), 29-42, DOI: 10.5824/1309-1581.2016.1.002.x.
  • Altan, O., Toz, G. Kulur, S. Seker, D., Volz, S., Fritsch, D., Sester, M. (2001). Photogrammetry and geographic information systems for quick assessment, documentation and analysis of earthquakes., ISPRS Journal of Photogrammetry & Remote Sensing, 55, 359–372
  • Arda., S. (2013). Afetlerde Bilgi ve Teknoloji Yönetimi: G.Antep ve K.Maraş Hastanelerinde Bir Alan Araştırması. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 1-10.
  • Assilzadeh, H., Mansor, S.B. (2016). “Natural Disaster Data And Information Management System” Commission V11, WG V11/5, Retrieved from: http://unpan1.un.org/intradoc/groups/public/documents/apcity/unpan025913.pdf
  • Bilir, S. (2009). “Bir Afet Bilgi ve Meteorolojik Erken Uyarı Sistemi Projesinde Üç Boyutlu Görselleme.”, İstanbul Teknik Üniversitesi, Yüksek Lisans Tezi,
  • Büyüköztürk, Ş., (2002). Faktör anailizi: Temel kavramlar ve ölçek geliştirmede kullanımı [Factor analysis: Basic concepts and their use in scale development]. Educational administration in theory and practice, 8(4), 470-483.
  • Cavallin, A., Sterlacchini, S., Frigerio, I., Frigerio, S., (2011). GIS Techniques and Decision Support System to Reduce Landslide Risk: The Case Study Of Corvara In Badia, Northern Italy. Geografia Fisica E Dinamica Quaternaria, 34(1), 81-88
  • Chen, K., Blong, R., Jacobson, C. (2001). “MCE-RISK: integrating multicriteria evaluation and GIS for risk decision-making in natural hazards.” Environmental Modelling & Software 16, 87–397
  • Crichton, M. T., Flin, R., & Rattray, W. A. (2000). Training decision makers-tactical decision games. Journal of Contingencies & Crisis Management, 8(4), 208–219.
  • Comfort, L. K. (1999). Shared risk: Complex systems in seismic response. New York: Pergamon
  • Cutter, S. L., C. T. Emrich, B. J. Adams, C. K. Huyck, and R. T. Eguchi. (2007). New Information Technologies in Emergency Management. In Emergency Management: Principles and Practice for Local Government, 2nd ed., edited by W. L. Waugh Jr. and K. Tierney. Washington, DC: ICMA Press.
  • Danielle J. Marceau , Luc Guindon , Mireille Bruel & Claude Marois. (2001). Building Temporal Topology in a GIS Database to Study the Land-Use Changes in a Rural-Urban Environment,” The Professional Geographer, 53:4, 546-558, DOI: 10.1111/0033-0124.00304
  • Demirci, A., Karakuyu, M. (2014). Afet Yönetiminde Coğrafi Bilgi Teknolojilerinin Rolü- The Role of Geographic Information Technologies on Disaster Management. Doğu Coğrafya Dergisi, Sayı 12, 67-100.
  • Drabek, T. E., Hoetmer, G. J. (1991). Emergency Management: Principles and Practice for Local Government, Washington, D.C., International City Management Association,
  • Dwirahmadi, F., (2015). Disaster Risk Reduction and climate change adaptation partnership through collaborative governance to build urban community resilience to flood risks in Jakarta. Griffith University, Doctoral Thesis.
  • Eom, S.B., Lee, S.M., Kim, Eb., and Somarajan, C. (1998). A survey of decision support system applications (1988-1994). Journal of the Operational Research Society. 49, 109-120
  • Federal Emergency Management Acency (FEMA). (2016). The Four Phases of Emergency Management”. Animals in Disasters/Module A, Unit 3. Retrieved from: http://training.fema.gov
  • Ganapati, S., (2011). Uses of Public Participation Geographic Information Systems Applications in E-Government, Public Administration Review, 425-434.
  • Greene, R. W. (2002), Confronting Catastrophe, A GIS Handbook. ESRI, California, U. S.
  • Gunes, A.E., Kovel, J.B., (2016). Using GIS in Emergency Management Operations, Journal of Urban Planning and Development, 126(3), 136-149, DOI: http://dx.doi.org/10.1061/(ASCE)0733-9488(2000)126:3(136)
  • H. Assilzadeh, S.B. Mansor. (2016). Natural Dısaster Data And Informatıon Management System. Commission V11, WG V11/5, Visited: 05/01/2016, Retrieved from: http://unpan1.un.org/intradoc/groups/public/documents/apcity/unpan025913.pdf
  • Hickey, R., & Jankowski, P. (1997). GIS and environmental decision making to aid smelter reclamation planning. Environment and Planning A, 29, 5–19.
  • Inzana, C. M., Driskell, J. E., Salas, E., & Johnston, J. H. (1996). The effects of preparatory information on enhancing performance under stress. Journal of Applied Psychology, 429–435.
  • Jankowski, P., Nyerges. T., (2001). GIS-Supported Collaborative Decision Making: Results of an Experiment, Annals of the Association of American Geographers, 48-70
  • Jefferson, T. L. and Johannes, T.W. (2016). Using geographic information systems to support decision making in disaster response. Intelligent Decision Technologies, vol. 10, no. 2, pp. 193-207
  • Kamensky, J. M., Burlin, T. J., & Abramson, M. A. (2004). Networks and partnerships: Collaborating to achieve results no one can achieve alone. In Kamensky, J. M., & Burlin, T. J. (Eds.), Collaboration using networks and partnerships (pp. 3–20). Lanham, MD: Rowman & Littlefield Publishers, Inc.
  • Kapucu, N., and V. Garayev. (2012). Designing, Managing, and Sustaining Functionally Collaborative Emergency Management Networks. American Review of Public Administration. doi:10.1177/0275074012444719.
  • Kapucu, N., and V. Garayev. (2011). Colaborative Decision-Making in Emergency and Disaster Management. International Journal of Public Administration. 34:366-375, DOI: 10.1080/01900692.2011.561477.
  • Kapucu, N., (2011). Colaborative Decision-Making in Emergency and Disaster Management. National Emergency Training Center.
  • Kapucu, N., Arslan, T., Collins, L., (2010). Examining Intergovernmental and Interorganizational Response to Catastrophic Disasters: Toward a Network-Centered Approach. Administration&Societys. 42(2):222-247
  • Kapucu, N. (2008). Collaborative emergency management: Better community organizing, better public preparedness and response. Disasters: The Journal of Disaster Studies, Policy, and Management, 32(2), 239–262.
  • Kapucu, N. (2006). Interagency Communication Networks During Emergencies Boundary Spanners in Multiagency Coordination. American Review of Public Administration. Volume 36 Number 2 207-225
  • Kim, Y., Sohn, H.G, Lee, Y., and Chung, J.M., (2016), “DRR Technology Sharing and Transfer through Web-based Platforms Lessons Learned from Korean Studies”, Disaster Prevention and Management, Vol. 25 No. 4, pp. 430-448
  • Knuth, R. 1999. Sovereignty, globalism, and information flow in complex emergencies. The Information Society, 15(11), 11-19.
  • Lee, J., Bharosa, N., Yang, J., Janssen, M., Rao, H.R. (2011). Group values and intention yo use- A sudty of multi-agency disaster management information systems for public safety. Decision Support Systems, 50, 404-414
  • Lin, D.-Y. M., & Su, Y.-L. (1998). The effect of time pressure on expert system based training for emergency management. Behaviour & Information Technology, 17(4), 195–202.
  • Lindell, M. K., Prater, C. S., & Peacock,W. G. (2005). Oganizational communication and decision making in hurricane emergencies. Pomona, CA: Hazard Reduction & Recovery Center.
  • Liyanage, A.S., Lee1, H. and Lee, S. (2013). Building GIS Application Model in Support of Tsunami Relief Effort. Journal of the Korea Academia-Industrial cooperation Society Vol. 14, No. 3 pp. 1489-1494, http://dx.doi.org/10.5762/KAIS.2013.14.3.1489
  • Marsden, P. V. (2011).” Survey Methods for Network Data.” In The SAGE Handbook of Social Network Analysis, edited by J. Scott and P. J. Carrington, 370–388. Thousand Oaks, CA: SAGE.
  • NACSW, (2012), The Collaboration of Faith and Social Work in Creating a Gateway of Helping, North American Association of Christians in Social Work, Retrieved from http://www.nacsw.org/Publications/Proceedings2012/BambrickBTheCollaborationFINAL.pdf
  • Ni-Bin Chang, Y. L. Wei, C. C. Tseng, and C.-Y. J. Kao. (1997). The Design of a GIS-based Decision Support System for Chemical Emergency Preparedness and Response in an Urban Environment, Comput. Environ. and Urban Systems, Vol. 21, No. 1, pp. 67-94.
  • Organization of American States (OAS), (1991). Primer on Natural Hazard Management in Integrated Regional Development Planning. Department of Regional Development and Environment Executive Secretariat for Economic and Social Affairs Organization of American States With support from the Office of Foreign Disaster Assistance United States Agency for International Development Washington, D.C. 1991- Chapter 5, Retrieved from www.oas.org/dsd/publications/Unit/oea66e/begin.htm#Contents
  • Qian Hu & Naim Kapucu. (2016). Information Communication Technology Utilization for Effective Emergency Management Networks. Public Management Review, 18:3, 323-348, DOI: 10.1080/14719037.2014.969762
  • Quarantelli, E. L. (1997). Ten criteria for evaluating the management of community disasters. Disasters, 21(1), 39–56.
  • Rosenthal, U., & Kouzmin, A. (1997). Crises and crisis management: Toward comprehensive government decision making. Journal of Public Administration Research & Theory, 7(2), 277–305.
  • Sharma, A.K., Parkash. S., Joshi, V., (2016), Geographical Information Systems for Disaster Response and Management, IEEE Workshop on Distributed Systems for Coordinated Disaster Management. At Kolkata, India.
  • Smith W., and Dowell, J. (2000). A case study of co-ordinative decision-making in disaster Management. Ergonomics. VOL. 43, NO. 8, 1153- 1166 The United Nations International Strategy for Disaster Reduction (UNISDR). (2009). UNISDR terminology on disaster risk reduction. Retrieved from: http://www.unisdr.org/files/7817_UNISDRTerminologyEnglish.pdf
  • T.S. Cheong, M.L.A. Felix & S.M. Jeong. (2014). Development of GIS-based disaster assessment system to reduce flood risks in urbanized creeks. Desalination and Water Treatment, 52:13-15, 2817-2825, DOI: 10.1080/19443994.2014.883049
  • Türkiye Afet Müdahale Planı (TAMP). (2014). Retrieved from: https://www.afad.gov.tr/UserFiles/File/PLANLAR/Afet_Mud_Pl_ResmiG%2020122013.pdf
  • Wallage., W.A., Balogh, D.F. (1985). Decision Support Systems for Disaster Management. Public Administration Review. Special Issue, pp. 133-146
  • Walker, H. (1997). The use of Geographic Data in Emergency Response Decision making Systems. 6th Topical Meeting on Emergency Preparedness and Response Proceedings, American Nuclear Society, San Francisco, CA, 21-25 April
  • World Disasters Report (WDR). (2015). The International Federation of Red Cross and Red Crescent Societie.
  • Yamazaki, F. (2001). Applications of remote sensing and GIS for damage assessment”. Structural Safety and Reliability, ISBN 90 5809 197 X., 1-12
  • Yomralıoğlu, T. (2000). Coğrafi Bilgi Sistemleri: Temel Kavramlar ve Uygulamalar. Akademik Kitabevi, Trabzon.
Birincil Dil en
Konular Sosyal
Dergi Bölümü Makaleler
Yazarlar

Yazar: Serpil GERDAN
Ülke: Turkey


Bibtex @araştırma makalesi { yonveek306383, journal = {Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi}, issn = {1302-0064}, eissn = {2458-8253}, address = {Celal Bayar Üniversitesi}, year = {2018}, volume = {25}, pages = {961 - 979}, doi = {10.18657/yonveek.306383}, title = {GIS-based Decision-Support System Applications in Disaster Management}, key = {cite}, author = {GERDAN, Serpil} }
APA GERDAN, S . (2018). GIS-based Decision-Support System Applications in Disaster Management. Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 25 (3), 961-979. DOI: 10.18657/yonveek.306383
MLA GERDAN, S . "GIS-based Decision-Support System Applications in Disaster Management". Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 25 (2018): 961-979 <http://dergipark.gov.tr/yonveek/issue/41680/306383>
Chicago GERDAN, S . "GIS-based Decision-Support System Applications in Disaster Management". Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 25 (2018): 961-979
RIS TY - JOUR T1 - GIS-based Decision-Support System Applications in Disaster Management AU - Serpil GERDAN Y1 - 2018 PY - 2018 N1 - doi: 10.18657/yonveek.306383 DO - 10.18657/yonveek.306383 T2 - Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi JF - Journal JO - JOR SP - 961 EP - 979 VL - 25 IS - 3 SN - 1302-0064-2458-8253 M3 - doi: 10.18657/yonveek.306383 UR - http://dx.doi.org/10.18657/yonveek.306383 Y2 - 2018 ER -
EndNote %0 Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi GIS-based Decision-Support System Applications in Disaster Management %A Serpil GERDAN %T GIS-based Decision-Support System Applications in Disaster Management %D 2018 %J Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi %P 1302-0064-2458-8253 %V 25 %N 3 %R doi: 10.18657/yonveek.306383 %U 10.18657/yonveek.306383
ISNAD GERDAN, Serpil . "Afet Yönetiminde CBS Tabanlı Karar Destek Sistemi Uygulamaları". Yönetim ve Ekonomi: Celal Bayar Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi 25 / 3 (Aralık 2018): 961-979. http://dx.doi.org/10.18657/yonveek.306383