Safe City

Safe City

Spatial Analysis of Physical-Social Vulnerability of Urmia City to Earthquake Crisis

Document Type : Original Article

Authors
Nabi Hosseini 1
Mahdi Modiri 2
Azim Alishaei 3
1 Ph.D. Student, Tabriz University, Tabriz, Iran
2 Professor, Passive Defence Group, Malek Ashtar University of Technlogy, Tehran, Iran
3 Assistant Professor, Payame Noor University,Iran
10.22034/ispdrc.2023.1989914.1021
Abstract
From the past until now, the occurrence of earthquakes has always been a widespread threat, and the need
to reduce the vulnerability of cities to earthquakes is considered one of the main concerns of urban
planning. In this regard, the pathological zoning of the amount and type of response to the earthquake
with the help of effective methods can significantly increase the resilience of the city in the face of the
earthquake. In the present study, the physical-social pathology of Urmia city against the earthquake crisis
was investigated. The type of this research is applied in terms of purpose and descriptive-analytical in
terms of research method. 15 indicators were used to measure the physical and social vulnerability of
Urmia city. The required data are also extracted from comprehensive plans and statistics of 2015. Spatial
statistics and spatial autocorrelation models have been used in GIS software for data analysis. The results
obtained to answer the research question indicate that the central parts of Urmia city are more vulnerable
than the peripheral parts in terms of physical index. The state of social indicators at the level of Urmia
city shows moderate vulnerability. This vulnerability was estimated at 58% in the physical dimension and
41% in the social dimension. The results of the RDJ model also show that the distribution of physical and
social vulnerability is clustered in the regions of Urmia. Considering the degree of vulnerability of the
city of Urmia, in order to reduce the loss of life and money caused by the earthquake, it needs to reduce
the consequences of this crisis with efficient planning and effective measures.
Keywords
Natural Hazards
Vulnerability
Spatial Statistics Model
Urmia City
Subjects
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