Document Type : Articles from PhD & Master Dissertations
Authors
1
Ph.D. Candidate, Department of Geography and Urban Planning, Tabriz Branch, Islamic Azad University, Tabriz, Iran
2
Assistant Professor, Department of Geography and Urban Planning, Tabriz Branch, Islamic Azad University, Tabriz, Iran
Abstract
In the approach of reducing the risk of settlements, streamlining risk management in local programs and considering the locality of risks and their effects are important steps to provide a strategic framework for implementing crisis management projects. In this regard and considering the importance of applying crisis management in local programs, the purpose of this research is to investigate the factors affecting the implementation of crisis management at the local scale to face the effects of various crises in the Tabriz metropolis. The research method in the present study is quantitative with an applied purpose and analytical-exploratory nature. To analyze the information, the partial least squares model was used in Warp-PLS software. The statistical population of the research included administrators, officials, and academic elites of the Tabriz metropolis, and the sample size was determined by using Cohen's formula of 100 people. The findings of the research show that the most significant impact on the realization of crisis management at the local scale is related to the variables of cooperation, financial considerations, and institutional capacity; the coefficients extracted based on the structural model of the research for each of these variables were 0.67, 0.61, and 0.55, respectively. Among the sub-components, the greatest impact on the realization of crisis management at the local scale is related to variables emphasizing local and bottom-up planning in the crisis management system, allocating annual budgets to local governments (municipalities of regions) for crisis management measures, benefiting from knowledgeable people in the crisis management system of each region, and the existence of a dynamic information system in the municipalities of 10 regions to obtain spatial information on the distribution and severity of risks, the score of each of which has been calculated as 0.74, 0.69, 0.66, and 0.65, respectively.
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