Resource-Constrained Information Management: Providing Governments with Information for Earthquake Preparedness
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This study seeks to attain a better understanding of the information that is required by governments to prepare for earthquakes, and of the constraints they face in obtaining this information. The contributions of the study are two-fold. A survey that was conducted among those responsible for earthquake preparedness actions in different governmental agencies and at different levels revealed on the one hand a desire for information on a broad range of topics, but on the other hand that no resources were allocated in practice to gather this information. A Geographic Information System-based process that was developed following the survey, allowed the required information on seismic hazards and loss and damage risks to be rapidly collected, mapped and integrated. This supported the identification of high-priority areas, for which a more detailed analysis could be initiated. An implementation of the process showed promise, and confirmed its feasibility. Its relative simplicity may ensure that an earthquake preparedness process is initiated by governments that are otherwise reluctant to allocate resources for this purpose.
KeywordsEarthquake preparedness Information requirements Seismic hazards GIS
The authors thank Dr. Amos Salamon for clarifications regarding the geological topics. We thank the members of the National Steering Committee for Earthquake Preparedness for their participation in the survey, and for commenting on the objectives of the present research.
Compliance with Ethical Standards
Conflict of Interest
The authors declare that they have no competing interests.
- Dickson E, Baker JL, Hoornweg D (2012) Urban risk assessments: understanding disaster and climate risk in cities. World Bank Publications, Washington DCGoogle Scholar
- FEMA (1997) Multi-hazard identification and risk assessment. Federal Emergency Management Agency, Washington, DCGoogle Scholar
- Isikdag U, Underwood J, Aouad G, Trodd N (2007) Investigating the role of building information models as a part of an integrated data layer: a fire response management case. Arch Engin Des Manage 3(2):124–142Google Scholar
- Levi T, Tavron B, Katz O, Amit R, Segal D, Hamiel Y, Bar-Lavi Y, Romach S, Salamon A (2010) Earthquake loss estimation in Israel using the new HAZUS-MH Software: preliminary implementation. Geological Survey of Israel, Report GSI/11/2010, pp 1–2Google Scholar
- McConnell A, Drennan L (2006) Mission impossible? Planning and preparing for crisis. JCCM 14(2):59–70Google Scholar
- Newth OE (2014) Predicting extreme events: the role of big data in quantifying risk in structural development (Doctoral dissertation, Massachusetts Institute of Technology)Google Scholar
- O’Looney J (2000) Beyond maps – GIS and decision making in local government. Environmental System Research Institute, USAGoogle Scholar
- Salamon A (2010) Potential Tsunamigenic Sources in the Eastern Mediterranean and a Decision Matrix for a Tsunamis Early Warning System in Israel. Geological Survey of Israel, Report No GSI/02/2010. Jerusalem, February 2010Google Scholar
- Salamon A, Netzer-Cohen C, Zilberman E, Amit R (2014) Qualitative Evaluation of Earthquake Hazards for Archaeological and Historical Sites in Israel. Geological Survey of Israel, Report No GSI/28/2014, Jerusalem, December 2014Google Scholar
- Salamon A, Netzer-Cohen C, Zilberman E, Amit R, Cohen M (2015) Qualitative evaluation of earthquake hazards for archaeological and historical sites in Israel. Proceedings, 6th International INQUA Meeting on Paleoseismology, Active Tectonics and Archaeoseismology, 19–24 April 2015, Pescina, Italy, 435–438Google Scholar
- Terlien MT, Van Westen CJ, van Asch TW (1995) Deterministic modelling in GIS-based landslide hazard assessment. In: Carrara A, Guzzetti F (eds) Geographical information systems in assessing natural hazards (pp. 57–77). Springer, NetherlandsGoogle Scholar
- Tierney KJ, Lindell MK, Perry RW (Eds) (2001) Facing the unexpected: disaster preparedness and response in the United States. Joseph Henry Press, Washington DCGoogle Scholar
- Yankelevsky D, Schwarz S, Leibovich E, Ofir Y (2011) Basis for preparation of database related to existing buildings in israel, stage i – residential buildings. The Israel Ministry of Construction and Housing and the Technion Research and Development Foundation, National Building Research Institute, HaifaGoogle Scholar
- Zhai Y, Ouyang Q (2013) Application of GIS and RS techniques in rapid seismic damage prediction. In: Bian F, Xie Y, Cui X, Zeng Y (eds) Geo-informatics in resource management and sustainable ecosystem. Springer-Verlag, Berlin, Heidelberg, pp 88–94Google Scholar