EconPapers    
Economics at your fingertips  
 

Quick and Approximate Estimation of Earthquake Loss Based on Macroscopic Index of Exposure and Population Distribution

Qi-Fu Chen, Yong Chen, Jie Liu and Ling Chen

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 1997, vol. 15, issue 2, 215-229

Abstract: In the traditional method of earthquake loss estimation, all exposed facilities are classified according to their structural type and/or occupancy. Inventory data is collected and the total loss is estimated as the aggregate of all facility losses from each facility class separately. For many regions of the world, however, the vast amount of data required for this method is difficult or impossible to obtain. The traditional method is also unable to estimate quickly the loss from an unexpected catastrophic earthquake. It is difficult to give the necessary risk information to help the government with rescue and relief after the earthquake disaster. In this paper, we propose a quick and approximate estimation method of earthquake loss based on a macroscopic index of exposure and population distribution from GIS. This method was applied to analyze several earthquake scenarios with World Bank and CIESIN data. The preliminary analysis and comparison results show that our method is effective and reasonable for quick assessment of earthquake risk. Copyright Kluwer Academic Publishers 1997

Keywords: earthquake; loss estimation; scenario; GDP; population (search for similar items in EconPapers)
Date: 1997
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

Downloads: (external link)
http://hdl.handle.net/10.1023/A:1007983209672 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:15:y:1997:i:2:p:215-229

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1023/A:1007983209672

Access Statistics for this article

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk

More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:nathaz:v:15:y:1997:i:2:p:215-229