Amer Nikpour; Mansoureh Yarahmadi
Abstract
In today's world, resilience to natural or man-made disasters is a fundamental issue. Paying attention to the concept of resilience in purely macro dimensions lacks the necessary efficiency, and in order to be implemented, this concept must be identified at the micro level. Physical resilience is one ...
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In today's world, resilience to natural or man-made disasters is a fundamental issue. Paying attention to the concept of resilience in purely macro dimensions lacks the necessary efficiency, and in order to be implemented, this concept must be identified at the micro level. Physical resilience is one of the effective dimensions in the resilience of communities through which the condition of communities can be assessed in terms of physical and geographical characteristics of the impact at the time of the accident. The method of this research is descriptive-analytical. In the first step, the effective components of physical resilience in Noorabad Mamasani city were identified and compiled in the form of Delphi questionnaire. Then, these indicators were examined by Delphi panel members and the indicators that did not get the required score were removed and the research indicators were determined. In the third step, these indicators were analyzed by Mick Mac method and the type of variables was determined according to the effect on other variables. The results showed that the effective components on physical resilience of Noorabad Mamasani city in district 1 include the variables of building density, number of floors, quality of buildings, building skeleton, level of passages, area of parcels and type of materials. Very high impact and affectivity are the characteristics of these variables. In district 2, variables such as population density, distance from the fault, topography and water table depth are among the key independent variables. An important feature of these variables is that they have a great impact on other variables but get very little effect on them. The effective variable in district 3 is barrenland, which is not considered as a key independent variable in the group of strategic variables due to its low impact and effectiveness. Indicators of district 4 include occupation level, building age, household size, form of urban parts and facilities, which are also not considered as strategic variables and are mostly the result of other variables.
