Providing a Model for Stability of Communities in Earthquake

Document Type : Articles

Authors

1 Department of Civil Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran

2 International Institute of Earthquake Engineering and Seismology (IIEES), Tehran, Iran

Abstract

Earthquake is one of the most destructive natural events that threats human society and cause the loss of lives and assets. In the past decades, extensive efforts have been conducted to reduce the damages caused by the earthquake and various technical papers, guidelines and codes are published trying to achieve this goal. Observations indicate the formative influence of these efforts and reduction in losses. However, despite these progresses, the main problem is why there are significant differences in performance of communities in the face of the earthquakes. This issue is properly mentioned by Ambraseys (2010)that compares death toll caused by two different earthquakes with the same magnitude in New Zealand (3/9/2010) and Haiti (12/1/2010). Considering the Corruption Perceptions Index (CPI) and the number of deaths resulting from the earthquake (DRE) for shallow earthquakes occurred during the period 1980-2009of 6.8<M<7.9. Ambraseys concluded that “the hypothesis that there is an effect of corruption on the number of people killed by earthquakes is valid” (Ambraseys, 2010).This point of view to the earthquake damages should be extended and the effect of various socio-economic indicators that can represent the attitude of the societies to earthquake should be examined on the amount of earthquake losses. Some of these socio-economic indicators are listed below:-Corruption Perceptions Index (CIP)-Gross Domestic Product (GDP)-Urban to Rural Population Ratio-Human Development Index (HDI)-GINI Index-Rate of Literacy-Research and Development Expenditure-Number of Hospital Beds per Capita-Unemployment-Inflation Consumer Prices-Mobile Cellular Subscriptions-Government Effectiveness-Industrial Production-Road Density-Government Revenue-Time required to start a business-Voice and AccountabilityThe main step to gain the above-mentioned purpose is to define a new model in the society level, which makes it possible to compare the performance of various communities. The proposed comparative model makes it possible to investigate the effect of various socio-economic indicators on the stability of community and the amount of losses due to the earthquake in an appropriate manner. In order for the proposed model to become comparative, various modification factors are defined based on the intensity measure of the earthquake, population affected by the earthquake and the time of occurrence of the earthquake throughout the day. Finally, the proposed model is implemented on the earthquakes worldwide during 1995 to 2013.

Keywords


  1. Bruneau, M., Chang, S.E., Eguchi, R.T., Lee, G.C., O'Rourke, T.D., Reinhorn, A.M., Shinozuka, M., Tierney, K., Wallace, W.A., and Von Winterfeldt, D. (2003) A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra, EERI, 19(4), 733-752.
  2. Cimilaro, G.P., Reinhorn, A.M., and Bruneau, M. (2006) Quantification of seismic resilience. Proceedings of the 8th U.S. National Conference on Earthquake Engineering, 8(1094), 1-10.
  3. Hollnagel, E. and Fujita, Y. (2012) The Fukushima disaster – systemic failures as the lack of resilience. Nuclear Engineering and Technology, 45(1), 13-20.
  4. Lucini, B. (2014) Multicultural approaches to disaster and cultural resilience-How to consider them to improve disaster management and prevention: the Italian case of two earthquakes. Procedia Economics and Finance, 18, 151-156.
  5. Nirupama, N., Adhikari, I., and Sheybani, A. (2014) Natural hazards in Ontario, Canada: an analysis for resilience building. Procedia Economics and Finance, 18, 55-61.
  6. Danar, O. and Pushpalal, D. (2014) Building community resilience: Conceptual framework and its application in post tsunami resettlement. Procedia Economics and Finance, 18, 489-496.
  7. Attolico, A. (2014) Building resilience through territorial planning: the experience of Province of Potenza. Procedia Economics and Finance, 18, 528-523.
  8. Saunders, W. and Becker, J. (2015) A discussion of resilience and sustainability: Land use planning recovery from the Canterbury earthquake sequence New Zealand. International Journal of Disaster Risk Reduction, 14, 73-81.
  9. D’Lima, M. and Medda, F. (2015) A new measure of resilience: An application to the London Underground. Transportation Research, 81, 35–46.
  10. Sharifi, A. (2016) A critical review of selected tools for assessing community resilience. Ecological Indicators, 69, 629-647.
  11. Titaya, S. (2016) Analyze on effect and building regulation in northern Thailand’s earthquake, May 2014 Chiangmai’s residents risk perception and response to earthquake. Procedia - Social and Behavioral Sciences, 218, 85-94.
  12. Comes, T. (2016) Designing for networked community resilience. Procedia Engineering, 159, 6-11.
  13. Shaoa, Y., Sodab, O., and Xua, J. (2016) Capital Building for Urban Resilience: the Case of Reconstruction Planning of Kesennuma City, Miyagi Prefecture, Japan. Procedia Environmental Sciences, 36, 122-129.
  14. Bastami, M. and Jafarifard, A. (2015) Economic Losses Estimation of Lifeline Systems by Case Study of Iran Recent Earthquakes. Technical Report, International Institute of Earthquake Engineering and Seismology (IIEES).