Resource allocation for regional earthquake risk mitigation considering equtty, using two stage stochastic and deterministic programming

Document Type : Research Paper

Authors

1 PhD student, Faculty of Civil, Khajeh Nasir Toosi University of Technology, Tehran, Iran

2 Assoc. Prof., Faculty of Civil, Khajeh Nasir Toosi University od Technology, Tehran, Iran.

Abstract

This paper is presented with the aim of finding optimum methodology to prioritize the seismic risk mitigation strategies in earthquake hazard prone areas and financing them which could help decision makers in earthquake risk mitigation process. Therefore, a two-stage stochastic model is developed to optimize funds allocation for risk reduction measures (retrofitting of buildings) and reconstruction measures after potential earthquakes in a regional level. The proposed stochastic model seeks optimized strategy towards risk reduction based on minimizing various criteria such as mitigation expenditures, reconstruction costs, and excess reconstruction expenditures induced by probable earthquakes. In order to present the functionality of the proposed stochastic method, the approach is applied for a pilot area in Tehran. Therefore building stocks for the pilot area besides structural vulnerability functions for them as well as regional seismic hazard characteristics are modeled to compile a probabilistic seismic risk model for the pilot region. Results illustrate the variation of mitigation expenditures in particular, structural retrofitting expenditures by location and structural type for buildings in this region. In addition, in order to investigate the consideration of uncertainty related to the probable earthquakes and demonstrate the advantages of stochastic programming compared to deterministic programming, a deterministic programming and such approach are discussed here and some pilot studies are designed and performed. The results of these studies are compared with the pilot analyses done based on proposed stochastic programming.

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