Fazel S, Mahmoodzadeh A, Taghvaei M. Spatial autocorrelation analysis of population in relation to the seismic vulnerability (Case study: city of Najaf Abad. jorar 2016; 8 (1 and 2) :35-55
URL:
http://jorar.ir/article-1-255-en.html
PhD student in Geography and Urban Planning, Research, Stock Research, University of Isfahan, Iran
Abstract: (4793 Views)
Introduction: Earthquake is a visible and repatable natural disaster which can be felt in the geological time scale.However, lack of earthquakes does not show permanent stability in the region. More than 90% of the area is located on the earthquake belt referring to the relative hazard zonation map of earthquakes in Iran. In this regard, the seismic vulnerability evaluation in different regions of the country should be a priority in the planning.
Method: In this analytical and applied research, introducing different perspectives in relation to vulnerability, firstly, spatial autocorrelation analysis (ARCGIS)is used in order to identify patterns of population distribution in the city of Najaf Abad. Then, a variety of qualitative and quantitative parameters and analytic network process (ANP) is used on the basis of multi-criteria decision approach to analyze the seismic vulnerability in Najafabad.
Findings: The results showed the presence of a cluster pattern of population distribution in the city and high population density in the central part of the city and Yazdanshahr town in the southwestern. Also, about 30% of total vulnerability hazard map developed in accordance with the city's high vulnerability zone and 37% of the area were with an average of vulnerability. With the implementation of the zoning map of population distribution, over 51,000 persons (at a density between 70 and 100 ones per hectare) were in high vulnerability.
Conclusion: According to new theories such as risk-crisis management, long-term goals can be achieved if the safety of the city against earthquake risk consider as an objective and comprehensive planning at all levels with emphasis on socio-economic factors.