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As cities become more physically in structure and demographically wider, the rate of crises is also increasing consequently, and cities become more vulnerable to natural disasters for a variety of reasons, including economic and cultural poverty, fault alignment and non-compliance to regulations of earthquake-related issues.  What matters is the level of community's preparedness and the degree of vulnerability of the city and its residents, which can be reduced to the lowest level if properly planned and principle policies are adopted.  In this research, considering the high potential of Sanandaj in terms of seismicity and the existence of many faults in the vicinity and around of the city, it is tried to gain an authentic understanding of the subject with identifying the factors affecting the earthquake and combining indicators using the  Classification Tree Analysis (CTA) model. The results indicate that a large area of   the city is in the category of moderate to high vulnerability.52% is in the middle vulnerability category, 16.5% is in the high vulnerability category and 1% of the city is considered to be in the very high vulnerability category, which exactly matches the same marginal, old and densely populated neighborhoods. This situation does not render a proper structure and needs more consideration in prospective development plans.
 

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The decline of social and economic status and functional and physical disorders of these contexts along with the very severe decline in the quality of the urban environment are among the reasons that have persuaded urban policymakers and planners to provide new strategies and solutions in the face of its problems. Accordingly, the futures research approach can keep peoplechr('39')s eyes open for possible future events, opportunities, and risks; Reduces ambiguities, doubts and erosive concerns of people, increases the ability of society and people to make smart choices. In this regard, the purpose of this study is to investigate the key drivers affecting the promotion of dysfunctional urban contexts with a future research approach in the Sartpooleh neighborhood of Sanandaj. This research is applied in terms of purpose and according to the studied components, the approach is descriptive-analytical method and environmental and Delphi scanning technique has been used to identify variables and indicators. Then, a semi-structured questionnaire was distributed among 45 experts in the field of urban issues. The data were analyzed using MICMAC software. The results showed that the urban system, especially in the worn-out tissue section of Sartpooleh neighborhood (in Sanandaj) is going through unstable conditions. Also, according to the analysis, 19 factors as key drivers such as authoritative management methods to renovate worn-out tissue, centralism, timely injection of funds when renovating worn-out tissue directly and variables focusing on improvement and renovation in comprehensive and detailed plans. Citizenschr('39') right to intervene in construction, paving the way for the entry of the private sector and balancing and achieving social justice were indirectly introduced to improve the quality and performance of worn-out structures.

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The occurrence of earthquakes and the losses and damages caused by it have always imposed a serious threat to the city, residents and assets, so that it has made planners and city managers to provide logical and scientific solutions to make cities safer. Securing cities against earthquakes will not be achieved only by creating strong structures, and we must take steps to reduce urban vulnerability through optimizing urban land use. The purpose of this study is to determine the optimal urban areas for the development of the city with the aim of reducing the vulnerability of Sanandaj. For this purpose, KNN method has been used as a model with relatively high accuracy to evaluate the optimal land use of Sanandaj city with an emphasis on earthquake risk. The obtained model output shows that about 32% of the city area is in optimal condition and district 2 with 42.78% equivalent to 406 hectares and district 4 with 50.85% equivalent to 658 hectares provide an optimal condition for the development of the city, towards reducing urban vulnerability and increasing urban land use optimization. The general condition of the city is not suitable in terms of optimality and the neighborhoods located in districts 1 and 2 are in a very inappropriate condition due to high population and residential density, very poor permeability and low adaptation of land uses. In evaluating the model, the value of the area below the curve is 0.951, which indicates the desirable performance of the model in examining the subject.