Resiliency is one of the approaches to reducing the vulnerability of communities and strengthening peoplechr('39')s ability to deal with the dangers of natural disasters, especially earthquakes, and has economic, social, institutional, physical, and environmental dimensions. This research is applied in terms of purpose and descriptive-analytical in terms of nature and research method. The researcher-made questionnaire with 102 items was a tool for collecting research data. The sample size was 386 simple based on Cochranchr('39')s formulas and the sampling method was random. Exploratory factor analysis and path analysis were used in the SPSS25 software platform for data analysis and factor modeling. The results indicate that Parsabad city has the lowest scores in terms of social and physical resilience and is in a moderate to good condition; environmental resilience is in a moderate condition, institutional and economic resilience are in a bad situation. Also question factorization, 13 factors for social dimensions, (behavior during the crisis, crisis awareness, crisis preparedness, knowledge, cooperation, trust, assistance, reliance, interaction, accuracy, attitude, first aid, and necessary measures); 3 factors (Damages, Compensation and ability to return) for economic dimensions; 5 factors (performance of public institutions, the performance of semi-public institutions, institutional communication, institutional measures, and institutional context) for institutional resilience; 4 factors (open space, building resistance, public access and Relief access) for physical resilience and 3 factors (environmental, nutritional and soil factors) for environmental resilience. Finally, the modeling of resilience indicators for Parsabad city was presented.

Vulnerability is the inevitable result of risks and crises that threaten societies to varying degrees. One of the main threats is earthquakes. The recent approach to disaster management programs is to increase the resilience of communities that have different dimensions. One of them is the physical dimension of urban resilience, which is linked to the components of land use planning. In this research, with the aim of analyzing land use criteria affecting the resilience of Tabriz city and using fuzzy AHP method, research has been done.
Based on the results of the study of theoretical foundations, 13 effective criteria have been identified and the basis of action. The required data were extracted and used from maps and spatial information of urban plans, especially the detailed plan of Tabriz, Then Using ARC Map10.3.1 software, each criterion is analyzed and each criterion is presented in the form of a fuzzy map. Sum, Product and gamma fuzzy operators have been used to achieve the final resilience map. Due to the high accuracy of the gamma operator, its results are considered as the final output.
The results show that in the city of Tabriz, 2% have very low resilience, 40.8%, low resilience,15.3% moderate resilience, 23.5% high resilience and 7.2% very high resilience - based on the Used criteria-. Areas with low resilience are generally located in the north of Tabriz city and correspond to the informal settlement texture and the worn-out texture of the city, which corresponds to the fault line of Tabriz and Micronutrient and permeability are other features of these areas. Due to the high population density in these areas, it is necessary to immediately adopt the necessary programs to improve the quality of physical resilience criteria in the city.

Today, the old fabric of cities has been severely dominated by unwanted developments due to increased construction and dependence on vehicles. This issue has caused many problems in urban issues. Therefore, physical reorganization plans are on the agenda as a solution to reduce these problems. Imam Street, which is located in the old part of Urmia, is one of the main and important streets of the city. One of the proposed projects in the strategic plan of the worn-out structures of Urmia city was the project of organizing and urban design of Imam Street, most of which has been implemented. The purpose of this study is to investigate the efficiency of physical organization projects in the old part of Urmia. The research method is descriptive-analytical and the obtained data were collected through a researcher-made questionnaire. In order to analyze the data, one-sample t-test in SPSS program and also structural equation modeling using AMOS software were used. The average obtained from the T-test in measuring the satisfaction of businessmen and residents located in the old part of Urmia, which was more than 3, indicates that people living in this area and market acquisition are satisfied with the results of physical organization projects.

From the time of human life until now, disasters have had a negative impact on human life; In response, individuals and communities are trying to mitigate the consequences of these disasters and establish scales to assess the initial effects; Also respond to the post-disaster needs and return to baseline. To address these challenges and, as a result, improve the quality of life in cities and metropolises, the need for long-term planning and decision-making in solving these problems is more necessary than ever. Therefore, dealing with new urban theories, each with the aim of solving urban problems, improving the quality and quantity of life of citizens in cities, improving the quality of the city environment, city management, advancing the city to become more desirable, and so on. , Is more important than ever. In recent decades, to solve these challenges and reduce its effects on metropolises and large cities, various solutions and perspectives have been proposed, one of which is to pay attention to the concept of resilient city. The present study is descriptive. - It is analytical and practical in terms of purpose. The statistical population of this study consisted of experts and professors familiar with the topics of the city. 35 university professors and experts in the field of research determined the sample size intended to complete the questionnaire. The results of this study showed that the criterion of physical characteristics of tissue with the highest D-R value (0.672) is at the top of the chart and shows that this criterion is the most effective criterion. Also, based on the calculated D + R value, the building quality criterion is the most important criterion. Also, the urban infrastructure criterion was considered as the most influential criterion due to the fact that it has the lowest D-R value.

Nowadays, addressing approaches such as livability for today's cities as concepts that play an important role in reducing social, economic and environmental problems of cities is an inevitable necessity. In fact, livability is a concept with all angles and mental and objective dimensions Is concerned with human beings and seeks to create a healthier and more livable urban environment for current citizens of future generations; Therefore, livability is a new concept and approach in the paradigm of sustainable urban development, which some consider one of the greatest ideas of urban planning in modern times. In livable city, the goal is not only to meet the physical needs of urban society, but also to create a sense of citizen satisfaction According to this, the main purpose of this research is an analysis of urban livability in Bojnourd with emphasis on security index.

Utilizing neighborhood capacities and redefining the role of citizens at the urban neighborhood level has led to a new approach called neighborhood-based participation; Because many urban challenges are rooted in the lack of citizen participation. The city of Zahedan is no exception. In order to achieve neighborhood-based participation, it is very important to pay attention to and strengthen some indicators. The purpose of this study is to measure the effective indicators in improving neighborhood-based participation to improve urban services in the city of Zahedan. The research method is descriptive-analytical and based on data collection in the field through a questionnaire. The statistical population of the study consists of 587730 citizens living in Zahedan. The sample size was calculated using the Cochranchr('39')s formula of 322 people. Examination of 5 variables of reliability, accountability and responsibility, reliability, empathy and attention and tangible and tangible factors show that all 5 variables were significant at the level of less than 0.05. Examining the difference between the mean and t-test statistics confirmed that citizens do not trust the performance of the municipality and managers. Also, one-sample t-test shows that the indicators of transparency, empowerment, economic base, value bases and sense of place are equal to 0.000 and less than 0.05 are significant. This article points to the impact of these indicators on improving neighborhood-based participation. Based on the results of the structural equation model, the greatest effect is related to the transparency index with 0.19, then the sense of spatial belonging with 0.15. Also, one-sample t-test shows that voluntary contributions (mean difference of 0.510), financial (mean difference of 0.611) and intellectual (mean difference of 0.486) with a significance level of less than 0.05 can have a great impact on Improve neighborhood-based participation and improve the quality of municipal services.

The use of structural analysis of development drivers helps planning to better understand the development situation of the provinces and improves the regional balance during decision making. For this purpose, the ten cities of Ilam province were examined in terms of combined development indicators in the form of 44 indicators. This research is an applied study in terms of targeting and in terms of methodology, it has been done in a "descriptive-analytical" way and is explanatory based on new methods of futurology. Theoretical data have been prepared by documentary method and experimental data by survey method. The development drives has been extracted from the documentary method and environmental scanning and experimental data based on the survey method based on the Delphi method. In data processing, structural interaction analysis method has been used in MIC MAC software. Findings in terms of interaction analysis indicate the dispersion of propulsive forces in a complex and intermediate situation of impact and effectiveness; the drivers clustering system indicates the focus of effective and regulatory drivers. Among the 44 driving forces of development, the effective drivers of development are the borders of Ilam province and the manner of managers' decisions. Research results show that development in Ilam province is not only unbalanced, but the imbalance trend applied towards more inequality and only by better and more comprehensive planning can be partially eliminated inequalities.

 

In todaychr('39')s world, housing and shelter have overshadowed many aspects of human life. Providing adequate housing, especially for low-income urban groups, is one of the most important issues and challenges facing all countries. The desirability of the environment of residential complexes built for low-income groups has always been a challenging issue. In the programs and plans prepared for these groups, due to the huge flood of applicants and also the limited resources and credits, quantitative goals have often been pursued and qualitative goals have been abandoned. A study of the housing pattern of this group in cities shows that attention and application of effective indicators of housing sustainability is one of the categories that should be considered in the process of housing planning. This article, with the aim of analyzing the factors affecting the housing survival of low-income groups, has reviewed the theoretical literature and tested research hypotheses. The statistical population of the study is the residents of Mehr dwelling in Sirjan. After distributing the questionnaire, data analysis was used at two levels of descriptive and inferential statistics. The validity of the structure was confirmed by factor analysis. The reliability of the instrument was also calculated using Cronbachchr('39')s alpha coefficient test of o.7. Data analysis was performed from Sstructural Equation Modeling using Smart PLS software. Findings indicate the relationship between quantitative and qualitative indicators of housing on durability. Quality index with cultural and social criteria and components such as security, privacy, sense of place, user participation has the greatest impact on Durability of low-income housing in Sirjan.

Due to the many complexities, housing planning, especially for vulnerable groups, in a city as large as Tehran, requires a model to simplify the process and speed up calculations, which does not currently exist. With the aim of solving this problem, the present study proposes a model with the following steps: 1) Explaining the objectives 2) Estimating the housing needs of the target community 3) Identifying expandable areas 4) Proposing construction patterns 5) Proposing dispersion patterns 6) Calculations and patterns Financial and 7) suggest operating patterns. The information required to implement the model was collected from two questionnaires and data from the Statistics Center. In this model, three housing models with minimum, optimal and average areas and three types of existing housing construction, 100% infrastructure and freeing up the yard space were used as public urban space. The proposed zoning was adapted to the 22 districts of Tehran Municipality due to compliance with the available data. Sales price and financial calculations were calculated based on the internal rate of return of 20% and contract subsidies, and finally 4 free transfer models, lifelong lease, lease on condition of ownership in the program areas were proposed. The results show that one of the problems in this sector is the lack of appropriate decision-making structure and planning tools that can provide a comprehensive and complete review of the current situation, comprehensive and comprehensive solutions. Therefore, according to the model and using the indicators used, regions 2, 6 and 13 have the lowest and regions 19 and 22 have the highest potential for housing development of low-income and vulnerable groups, and finally, the model has suggested the most housing in regions 22, 4, 19 and 11.