Abstract
Despite the potential of new technologies and the improvements of early-warning systems since the 2004 Tsunami, damage and harm caused by disasters do not stop to increase. There is a clear need for better integrating the fragmented landscape of researchers and practitioners working on different aspects of decision support for disaster risk reduction and response. To demonstrate and discuss the advantages of integrated systems, we will focus in this paper on vulnerabilities and early-warning systems. While vulnerabilities are mostly used to allocate risk management resources (preparedness), early-warning systems are designed to initiate the response phase. Indicator models have been used as a part of disaster risk reduction frameworks, and in the design of early-warning systems. In this paper we analyse the commonalities and differences between both, and outline how an integrated system that understands vulnerability assessments as part of both risk reduction programs and early-warning shall be designed in future.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Neil Adger, W., Brooks, N., Bentham, G., Agnew, M., Eriksen, S.: New indicators of vulnerability and adaptive capacity, vol. 122. Tyndall Centre for Climate Change Research, Norwich (2004)
Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, Washington D.C, pp. 207–216 (May 1993)
Birkmann, J.: Risk and vulnerability indicators at different scales: applicability, usefulness and policy implications. Environmental Hazards 7(1), 20–31 (2007)
Brooks, N., Neil Adger, W., Mick Kelly, P.: The determinants of vulnerability and adaptive capacity at the national level and the implications for adaptation. Global Environmental Change 15(2), 151–163 (2005)
Coenen, F., Goulbourne, G., Leng, P.: Tree structures for mining association rules. Data Mining and Knowledge Discovery 8, 25–51 (2004)
Cutter, S.L., Boruff, B.J., Lynn Shirley, W.: Social vulnerability to environmental hazards*. Social Science Quarterly 84(2), 242–261 (2003)
Bono, A.D., Chatenoux, B., Herold, C., Peduzzi, P.: Global Assessment Report on Disaster Risk Reduction 2013: From shared risk to shared value-The business case for disaster risk reduction. UNISDR, New York (2013), http://www.unisdr.org/we/inform/publications/33013
Eriksen, S.H., Mick Kelly, P.: Developing credible vulnerability indicators for climate adaptation policy assessment. Mitigation and Adaptation Strategies for Global Change 12(4), 495–524 (2007)
Gaillard, J.C., Mercer, J.: From knowledge to action bridging gaps in disaster risk reduction. Progress in Human Geography 37(1), 93–114 (2013)
GHA. Global Humanitarian Assistance Report 2013. Development Initiatives, Somerset, UK (2013)
Glantz, M.H.: Early Warning Systems: Do’s and Don’ts. Usable science. The Center (2004)
Hall, P.: Early warning systems: Reframing the discussion. Austral. J. Emergency Manag. 22(2) (2007)
Heydarian, R.: Little preparation for a great disasters. Inter Press Service Report, Manila
Hyogo Framework for Action. 2005-2015: Building the resilience of nations and communities to disasters. Extract from the final report of the World Conference on Disaster Reduction, UN ISDR (2005)
Harvard Humanitarian Initiative et al. Disaster Relief 2.0: The future of information sharing in humanitarian emergencies. HHI; United Nations Foundation; OCHA; The Vodafone Foundation, Washington, DC (2010)
Jacobs, R., Goddard, M.: How do performance indicators add up? an examination of composite indicators in public services. Public Money and Management 27(2), 103–110 (2007)
Johansson, J., Hassel, H.: An approach for modelling interdependent infrastructures in the context of vulnerability analysis. Reliability Engineering & System Safety 95(12), 1335–1344 (2010)
Engel, B., Quansah, J.E., Rochon, G.L.: Early warning systems: A review. Journal of Terrestrial Observation 2(5) (2010)
Lavoix, H.: Developing an early warning system for crises, pp. 365–382. From early warning to early action? The debate on the enhancement of the EUs crisis response capability continues. European Commission, Brussels (2008)
Lodree Jr, E.J., Taskin, S.: An insurance risk management framework for disaster relief and supply chain disruption inventory planning. Journal of the Operational Research Society 59(5), 674–684 (2008)
MEA (Millennium Ecosystem Assessment). Ecosystems and human well-being: A framework for assessment. Island Press, Washington DC (2003)
Merz, M., Hiete, M., Comes, T., Schultmann, F.: A composite indicator model to assess natural disaster risks in industry on a spatial level. Journal of Risk Research 16(9), 1077–1099 (2013)
Moser, C.O.: Confronting crisis: a comparative study of household responses to poverty and vulnerability in four poor urban communities (1996)
Neussner, O.: Manual - local flood early warning systems - experiences from the philippines. Deutsche Gesellschaft für Technische Zusammenarbeit (GTZ) GmbH, German Technical Cooperation Environment and Rural Development Program, Disaster Risk Management Component (2009)
Ozyurt, G., Ergin, A., Baykal, C.: Coastal vulnerability assessment to sea level rise integrated with analytical hierarchy process. Coastal Engineering Proceedings 1(32) (2011)
Panahi, M., Rezaie, F., Meshkani, S.A.: Seismic vulnerability assessment of school buildings in tehran city based on ahp and gis (2013)
Public Entity Risk Institute (PERI). Early warning systems - interdisciplinary observations and policies from a local government perspective - four elements of people centered early warning systems. Public Entity Risk Institute (PERI) Symposium (2010)
Quarantelli, E.L.: Disaster crisis management: A summary of research findings. Journal of Management Studies 25(4), 373–385 (1988)
Rasmussen, J.: Risk management in a dynamic society: a modelling problem. Safety science 27(2), 183–213 (1997)
Renn, O., Klinke, A., van Asselt, M.: Coping with complexity, uncertainty and ambiguity in risk governance: a synthesis. Ambio 40(2), 231–246 (2011)
Saaty, T.L.: The analytic hierarchy and analytic network processes for the measurement of intangible criteria and for decision-making. In: Multiple Criteria Decision Analysis: State of the Art Surveys. International Series in Operations Research and Management Science, vol. 78, pp. 345–405. Springer, New York (2005)
Schrodt, P.A., Gerner, D.J.: The impact of early warning on institutional responses to complex humanitarian crises. In: Paper presented at 3rd Pan-European International Relations Conference (1998)
Thomalla, F., Downing, T., Spanger-Siegfried, E., Han, G., Rockström, J.: Reducing hazard vulnerability: towards a common approach between disaster risk reduction and climate adaptation. Disasters 30(1), 39–48 (2006)
United Nations. Global Survey of Early Warning Systems: an Assessment of Capacities, Gaps and Opportunities Toward Building a Comprehensive Global Early Warning System for All Natural Hazards: a Report Prepared at the Request of the Secretary-General of the United Nations (2006)
Van de Walle, B., Comes, T.: Risk accelerators in disasters. In: Jarke, M., Mylopoulos, J., Quix, C., Rolland, C., Manolopoulos, Y., Mouratidis, H., Horkoff, J. (eds.) CAiSE 2014. LNCS, vol. 8484, pp. 12–23. Springer, Heidelberg (2014)
Weichselgartner, J., Kasperson, R.: Barriers in the science-policy-practice interface: Toward a knowledge-action-system in global environmental change research. Global Environmental Change 20(2), 266–277 (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Comes, T., Mayag, B., Negre, E. (2014). Decision Support for Disaster Risk Management: Integrating Vulnerabilities into Early-Warning Systems. In: Hanachi, C., Bénaben, F., Charoy, F. (eds) Information Systems for Crisis Response and Management in Mediterranean Countries. ISCRAM-med 2014. Lecture Notes in Business Information Processing, vol 196. Springer, Cham. https://doi.org/10.1007/978-3-319-11818-5_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-11818-5_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11817-8
Online ISBN: 978-3-319-11818-5
eBook Packages: Computer ScienceComputer Science (R0)