The Assessment of Turkey’s Lack of Resilience to Disasters and Hazards with IDB Indicator System

The Assessment of Turkey’s Lack of Resilience to Disasters and Hazards with IDB Indicator System

In recent years, resilience has emerged as a guiding principle for urban development and disaster risk management. The aim of this study, human development, economic recovery and the factors that influence to reach a high level of security at every level, Turkey is to determine the level of resistance against disasters at the national and international areas of the province. The study was prepared with a semi-numerical method and the scope of the study was all provinces of our country. Although the study covers 2015-2017 periods, it was applied to all provinces of our country. LRI (Lack of Resilience Index) consists of 8 sub-factors and the index value is between 0 and 1. Classification of index values was done according to international standards as follows; between 0-0.20 as low, between 0.20-0.40 as medium, between 0.40-0.80 as high and between 0,80-1,00 as very high. Ağrı (0.71), Şırnak (0.66), Muş (0.66) and Hakkâri (0.65) provinces were the first four provinces with the highest value according to the 2015-2017 average value of LRI and Isparta (0.38), Bolu (0.38), Izmir (0.36) and Ankara (0.32) were the lowest. Moreover, while 93.83% of our provinces were in the high index category, it was seen that 6.17% is in the middle index category and we had no provinces in the low index category. As a result, it was seen that our provinces had deficiencies regarding lack of resilience, especially the average and expected schooling years, per capita national income, insurance rates of buildings and houses and the number of hospital beds.

___

  • Adger ,W.N., (2000). Social and ecological resilience: are they related. Progress in Human Geography 24, 3: 347-364.
  • AFAD (Disaster and Emergency Management), (2018). Afete Dirençli Toplum: Uygulama örnekleri (Disaster Resistant Society: Application examples). Ankara: AFAD Publications.
  • AFAD (Disaster and Emergency Management), (2018). Disaster Resistant Society: Application examples. Ankara: AFAD Publications.
  • Beccari, B., (2016). A Comparative Analysis of Disaster Risk, Vulnerability and Resilience Composite Indicators. San Francisco: Public Library of Science (PLOS) Currents Disasters.
  • BID (Banco Interamericano de Desarrollo), (2010a). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Argentina). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2010b). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Bolivia). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2010c). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Costa Rica). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2010d). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Ecuador). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2010e). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (República Domicana). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2015a). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Chile). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2015b). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (México). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2015c). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Nicaragua). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2015d). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Panamá). Washington: Banco Interamericano de Desarrollo.
  • BID (Banco Interamericano de Desarrollo), (2015e). Indicadores de Riesgo de Desastre y de Gestión de Riesgos (Perú). Washington: Banco Interamericano de Desarrollo.
  • Birkmann, J., Cardona, O.D., Carreno, M.L., Barbat, A.H., Pelling, M., Schneiderbauer, S., Kienberger, S., Kelier, M., Alexander, D., Zeil, P. and Welle, T., (2013). Framing vulnerability, risk and societal responses: the MOVE framework. Natural ;Hazards, 67(2): 193-211.
  • Briguglio, L., (2003). Methodological and practical considerations for constructing socio-economic indicators to evaluate disaster risk. Manizales: Universidad Nacional de Colombia.
  • Cannon, T., (2003). Vulnerability Analysis, Livelihoods and Disasters Components and variables of vulnerability: modelling and analysis for disaster risk management. Manizales: Universidad Nacional de Colombia.
  • Cardona, O.D., (2006). A System of Indicators for Disaster Risk Management in the Americas in Measuring Vulnerability to Hazards of Natural Origin: Towards Disaster Resilient Societies. Tokyo: United Nations University Press.
  • Carreño, M.L., Cardona, O.D. and Barbat, A.H., (2005). Sistema de indicadores para la evaluación de riesgos. Barcelona: Centro Internacional de Métodos Numéricos en Ingenieria.
  • Carreño, M.L., Cardona, O.D. and Barbat, A.H., (2005). Sistema de indicadores para la evaluación de riesgos. Barcelona: Centro Internacional de Métodos Numéricos en Ingenieria.
  • Combaz, E., (2014). Disaster Resilience: Topic Guide. Birmingham: GSDRC (Governance and Social Development Resource Centre).
  • De Boer, J., (2015). Resilience and the Fragile City. International Journal of Security & Development, 4(1):1-7. DFID (Department for International Development), (2011). Defining Disaster Resilience: A DFID Approach Paper. London: DFID.
  • GFDRR (Global Facility for Disaster Reduction and Recovery), (2010). Natural Hazards UnNatural Disaster: The Economics of Effective Prevention. Washington: World Bank.
  • IDB (Inter American Development Bank), (2004). Information and Indicators Program for Disaster Risk Management-Application of the System of Indicators 1980-2000 (Jamaica). Colombia: Inter-American Development Bank.
  • IDB (Inter American Development Bank), (2010a). Indicators for Disaster Risk and Risk Management (Barbados). Colombia: Inter-American Development Bank.
  • IDB (Inter American Development Bank), (2010b). Indicators for Disaster Risk and Risk Management (Trinidad and Tobago). Colombia: Inter-American Development Bank.
  • IDB (Inter American Development Bank), (2011a). Indicators for Disaster Risk and Risk Management (Bahamas). Colombia: Inter-American Development Bank.
  • IDB (Inter American Development Bank), (2011b). Indicators for Disaster Risk and Risk Management (Belize). Colombia: Inter-American Development Bank.
  • IDB (Inter American Development Bank), (2018). Indicators for Disaster Risk and Risk Management (Suriname). Colombia: Inter-American Development Bank.
  • IDEA (Instituto de Estudios Ambientales), (2005). http://idea.unalmzl.edu.co/ingles/contexto.php (accessed May 30, 2019).
  • IDMC (International Displacement Monitoring Centre), (2014). Global Estimates 2014: People Displaced by Disaster. Geneva: Imprimerie Harder.
  • IFRC (International Federation of Red Cross and Red Crescent Societies), (2012a). The long road to resilience: Impact and cost-benefit analysis of community-based disaster risk reduction in Bangladesh. Geneva: IFRC.
  • IFRC (International Federation of Red Cross and Red Crescent Societies), (2012b). Understanding community resilience and program factors that strengthen them. Geneva: IFRC Publising.
  • Istanbul Seismic Risk Mitigation and Emergency Preparedness Project, (2014). Disaster Resistant City Planning and Construction. İstanbul: İSMEP Publication.
  • Mac Askill, K. and Guthrie, P., (2014). Multiple interpretations of resilience in disaster risk management. Procedia Economics and Finance, 18: 667-674.
  • Mac Askill, K., Guthrie, P., (2014). Multiple interpretations of resilience in disaster risk management. Procedia Economics and Finance, 18: 667-74.
  • Mayunga, J.S., (2007). Understanding and Applying the Concept of Community Disaster Resilience: A capital-based approach, Munich: A draf working paper prepared for the summer Academy for social vulnerability and resilience building, 22-28 July.
  • Obrıst, B., Pfeiffer, C. and Henley, B., (2010). Multi-Layered Social Resilience: A New Approach in Mitigation Research. SAGE Progress in Development Studies, 10: 283-293. Pelling, M., (2011). Adaptation to Climate Change from Resilience to Transformation. New York: Routledge Taylor & Francis Group.
  • RAND (Health Insurance Experiment ), (2011). Building Community Resilience to Disaster. California: RAND Corporation.
  • Ranger, N. and Surminski, S., (2013). Disaster resilience and post-2015 development goals: the options for economics targets and indicators. Leeds: Centre for Climate Change Economics and Policy.
  • Ranjan, E. S. and AbenaYake, C. C., (2014). A Study on Community’s Perception on Disaster Resilience Concept, 4th International Conference on Building Resilience, 8-11 September, United Kingdom.
  • Standley, S., (2012). Building resilience in a complex environment. Care UK.
  • UNDRR and WMO, (2012). Disaster Risk and Resilience. Geneva: UNDRR Publishing.
  • UNDRR, (2009). Terminology on disaster risk reduction (The United Nations Office for Disaster Risk Reduction). http://www.unisdr.org/we/inform/terminology (accessed July, 2019).
  • UNDRR, (2017). Resilience Index Annual Report. ABD: FM Global.
  • UNISDR (United Nations Office for Disaster Risk Reduction), (2017). Resilience Index Annual Report. A.B.D: FM Global.
  • UNU-CPR (United Nations University Centre for Policy Research), (2016). Fragility, Risk, and Resilience: A Review of Existing Frameworks. Tokyo: United Nations University.
Journal of International Health Sciences and Management-Cover
  • Yayın Aralığı: Yılda 2 Sayı
  • Başlangıç: 2015
  • Yayıncı: Sedat BOSTAN
Sayıdaki Diğer Makaleler

Effect of health education about personal hygiene on student’s health in primary school

Amira BOSHRA, Abdalbasit MARIOD

EVALUATION OF THE SOCIOECONOMIC STATUS IN THE COVID-19 PANDEMIC PROCESS

Yunus Emre ÖZTÜRK, Hilal AKMAN DÖMBEKCİ, Müjdat YEŞİLDAL

EFFECTS OF PATERNAL LEADERSHIP ON ORGANISATIONAL CYNISM: COMPARING THE PUBLIC AND PRIVATE HOSPITALS IN FATİH HEALTH SERVICE REGION

Esendal GÜLEÇ, Kadriye SÖNMEZ, Suat PEKER, İbrahim Halil CANKUL

ANALYSIS OF SOME CONCEPTS RELATED TO THE ENVIRONMENT AND HEALTH WITH THE N-GRAM METHOD

Ali ÇİFTÇİ, Alaaddin VURAL, Mustafa Nuri URAL

EVALUATION OF THE RECOMMENDATIONS PART OF THESES IN THE FIELD OF HEALTH MANAGEMENT

Kerime GÜLEÇ, Ramazan ERDEM

THE PERCEPTIONS OF NURSES ABOUT PATIENT SAFETY CULTURE: AN EXAMPLE PROVINCE IN NORTH EAST OF TURKEY

Aysun BAYRAM, Afife YURTTAŞ, Mağfiret KARA KAŞIKÇI

INVESTIGATION OF THE RELATIONSHIP BETWEEN HEALTHY LIFESTYLE BEHAVIOR OF HEALTH PROFESSIONALS AND USE OF HEALTH CARE SERVICES: A RESEARCH ON ATTITUDES FOR VACCINE APPLICATIONS

Fuat YALMAN, Murat BAYAT

MEASUREMENT OF THE EFFECTS OF BUSINESS INTELLIGENCE APPLICATIONS ON PERFORMANCE IN HOSPITALS ACCORDING TO THE MANAGERIAL LEVELS: A CHAIN HOSPITAL APPLICATION

Mustafa IŞIK, Onur YARAR, Didem SÖYLEMEZ SUR

DOES BUSİNESS SATİSFACTİON AFFECT THE LİFE SATİSFACTİON? EXAMPLE OF HEALTH SCİENCES ACADEMİCS

Yasemin URGANCI, Cansu YILMAZ, Sultan ÇEÇEN, Hanife ÖZÇELİK

The Assessment of Turkey’s Lack of Resilience to Disasters and Hazards with IDB Indicator System

Ünal YAPRAK, Turgut ŞAHİNÖZ, Saime ŞAHİNÖZ