Earthquake Insurance Subscription Rates and Regional Cross-Subsidies

Author(s):  
Miki Seko
Keyword(s):  
1999 ◽  
Vol 42 (6) ◽  
Author(s):  
B. Tavakoli ◽  
M. Ghafory-Ashtiany

The development of the new seismic hazard map of Iran is based on probabilistic seismic hazard computation using the historical earthquakes data, geology, tectonics, fault activity and seismic source models in Iran. These maps have been prepared to indicate the earthquake hazard of Iran in the form of iso-acceleration contour lines, and seismic hazard zoning, by using current probabilistic procedures. They display the probabilistic estimates of Peak Ground Acceleration (PGA) for the return periods of 75 and 475 years. The maps have been divided into intervals of 0.25 degrees in both latitudinal and longitudinal directions to calculate the peak ground acceleration values at each grid point and draw the seismic hazard curves. The results presented in this study will provide the basis for the preparation of seismic risk maps, the estimation of earthquake insurance premiums, and the preliminary site evaluation of critical facilities.


Author(s):  
Kubilay KAPTAN ◽  
Onur YILMAZ

It is emphasized that Turkey experiences frequent earthquakes, causing extensive losses to economy, life and limb. In order to mitigate the losses due earthquakes, a number of issues are identified to be studied and managed properly on a national scale. Firstly, the importance of education and research about earthquakes and earthquake preparedness, from cradle to grave, is stressed. Secondly, for a successful solution of the risk mitigation problems, the legislative and financial structures as well as the social and technical organizations are presented. Recommendations are given, concerning the disasters management, dealing with emergency matters during and after the earthquake, and also the risk management, dealing with preparations before the earthquake. Finally, the problems related to inventory of buildings, repair and retrofitting issues, earthquake insurance, supervision of design and construction of buildings are discussed. E-learning is a new project for education based on the adoption of new computerised, multimedia and telematic technologies. Its application has deeply changed the concept of a teacher-based teaching to a student-centred educational project. It offers a great flexibility in the educational methodology, in the administration of contents, in the synchronous and/or asynchronous interaction between teachers and students, in the organisation and in the structure of the course, in the educational plans, in the support, the tracking and the evaluation of the student. E-learning could represent a great resource and a possible revolution in the concept of education and in the field of disaster education as well. In Turkey, there are some important websites concerning disaster education. These websites are reviewed to evaluate if these sites provide good e-learning environments. The official websites concerning disaster education in Turkey are scorched and the websites are reviewed according to the established protocol. Each website has been evaluated by two independent reviewers. The average scores were obtained by averaging the two scores. Of the available 6 websites, the total scores of these 6 websites varied from 42 points to 28 points (average 34+12 points). In conclusion, this report demonstrated that the e-learning of disaster education was still primitive in Turkey. It should be the first priority to implement a well-established e-learning environment to provide good disaster education.


Author(s):  
J. L. Gill

Property owners in New Zealand obtain indemnity against loss or damage occurring as a direct result of earthquake shock or earthquake fire under a compulsory extension to a contract of fire insurance. A special earthquake and war damage premium is levied under fire insurance contracts made in New Zealand and is paid by the insurer into a fund which is administered by the Commission under the Earthquake and War Damage Act 1944.


2015 ◽  
Vol 40 (2) ◽  
pp. 295-315 ◽  
Author(s):  
Naghmeh Pakdel-Lahiji ◽  
Stefan Hochrainer-Stigler ◽  
Mohsen Ghafory-Ashtiany ◽  
Mehdi Sadeghi

2019 ◽  
Author(s):  
Adrien Pothon ◽  
Philippe Gueguen ◽  
Sylvain Buisine ◽  
Pierre-Yves Bard

Abstract. Despite California is a highly seismic prone region, most of homeowners are not covered against this risk. This study analyses the reasons for homeowners to purchase or not an insurance to cover earthquake losses, with application in California. A dedicated database is built from 18 different data sources about earthquake insurance, gathering data since 1921. A new model is developed to assess the take-up rate based on the homeowners’ risk awareness and the average annual insurance premium amount. Results suggest that only two extreme situations would lead all owners to cover their home with insurance: (1) a widespread belief that a devastating earthquake is imminent, or alternatively, (2) a massive decrease in the average annual premium amount by a factor exceeding 6 (from $980 to $160, USD 2015). Considering the low likelihood of each situation, we conclude from this study that new insurance solutions are necessary to fill the protection gap.


2020 ◽  
Vol 36 (1_suppl) ◽  
pp. 345-371
Author(s):  
Anirudh Rao ◽  
Debashish Dutta ◽  
Pratim Kalita ◽  
Nick Ackerley ◽  
Vitor Silva ◽  
...  

This study presents a comprehensive open probabilistic seismic risk model for India. The proposed model comprises a nationwide residential and non-residential building exposure model, a selection of analytical seismic vulnerability functions tailored for Indian building classes, and the open implementation of an existing probabilistic seismic hazard model for India. The vulnerability of the building exposure is combined with the seismic hazard using the stochastic (Monte Carlo) event-based calculator of the OpenQuake engine to estimate probabilistic seismic risk metrics such as average annual economic losses and the exceedance probability curves at the national, state, district, and subdistrict levels. The risk model and the underlying datasets, along with the risk metrics calculated at different scales, are intended to be used as tools to quantitatively assess the earthquake risk across India and also compare with other countries to develop risk-informed building design guidelines, for more careful land-use planning, to optimize earthquake insurance pricing, and to enhance general earthquake risk awareness and preparedness.


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