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sadidi J, ahmadi H, rezae shahabi R, pishva A, kheyri O, nooraie G. Assessing the vulnerability of residential use against external threats with a passive urban defense approach (Case study: District 10 of Tehran). Journal of Spatial Analysis Environmental Hazards 2023; 10 (3) :53-70
URL: http://jsaeh.khu.ac.ir/article-1-3312-en.html
1- Associate Professor of the Educational Department of Remote Sensing and Geographical Information System, Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran.
2- Assistant Professor of Urban Planning Department, Gilan University, Rasht, Iran.
3- PhD student in Urban Planning, IGOT Faculty, University of Lisbon, Lisbon, Portugal. , r.r.shahabi@gmail.com
4- MSc student in Geographical Information System, Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran.
5- MA in Geographical Information System, Faculty of Geographical Sciences, Kharazmi University, Tehran, Iran.
Abstract:   (558 Views)
The pervasiveness of the concept of vulnerability in various dimensions has led to the emergence of the theory of vulnerability in the spatial sciences. According to the theory of vulnerability, in any given space, there is a coefficient of vulnerability, while the levels and amplitude of safety are not evenly distributed on the surface of that space. Residential use is one of the most important and main uses in the urban land use system, and safety management and attention to its defense requirements are very important due to the high population density in large cities. The present study is in the field of assessing the vulnerability of residential uses against external threats with a passive urban defense approach in District 10 of Tehran, which was conducted in the form of spatial studies and by implementing an analytical model in three steps. First, the principles and requirements of passive defense were identified and classified into three groups of structural, demographic and spatial parameters, and using the questionnaire and expert survey tools, the priorities of passive defense principles in relation to residential spaces were determined. Then, based on the network analysis process, the weight of each criterion was determined and the weight of the ANP model was applied to the spatial layers of the region in ArcGIS software. The results of the model showed that in terms of structural indicators, more than 78% of residential units in the region are in the group of structures with high vulnerability and in terms of demographic indicators, in 88% of residential units in case of external threats, the level of vulnerability is high. In terms of spatial indicators, more than 92% of residential spaces are adjacent to several incompatible uses and have the highest vulnerability. In general, the results of overlapping layers showed that more than 86% of residential units in the area are located in vulnerable zones and the vulnerability of residential units in these zones is very high.
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Type of Study: Applicable | Subject: Special
Received: 2022/05/31 | Accepted: 2023/11/15 | Published: 2023/09/23

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