Vulnerability Assessment of Rural Areas’ Regarding Earthquake Risk (Case Study: The Central District of Marand County)

Document Type : علمی

Authors

University of Tabriz

Abstract

Purpose: Natural disasters including earthquakes often have devastating effects on human settlements and make heavy losses of material and spiritual on its inhabitants. Inappropriate infrastructures in rural settlements and social inequalities between cities and villages is caused spatial ravages in the settlement network of country and continually have increased their vulnerability against natural disasters. According to country location and village's situation in vulnerable areas of the earthquake, it is necessary to be considered. The purpose of this study is analysis of rural settlements vulnerability in the central district of Marand county.
Methodology: This study is an applied research and with descriptive-analytic was performed.The statistical population of this study is 74 villages of Central District of Marand County. The vulnerability indexes were determined and were weighted with the survey of elites by using AHP technique. Then evaluate and ranking the vulnerability of rural settlements in study area, TOPSIS technique was used. Data processing, extraction of some of the indicators and showing results was used of geographic information systems (GIS).
Findings: The results showed that there are high and very high vulnerability in more than 30 percent of the study area villages and from physical-spatial dimension, 33.29% of villages and socio-economic dimension, 44% villages have high and very high vulnerability.
Research Limitation: Incomplete data about the villages is one of the challenges of the present study.
Practical implications: With regard to the vulnerability of the study area is most affected by the vulnerability of physical-space thus this requires a change in the physical- spatial properties for improvement in study area to reduce vulnerability.
Original/Value: The present study compared to studies done provides appropriate model for calculating the vulnerability based on the fuzzy approach by using indexes of physical and socio-economic dimensions.

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