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.

Iran is among the countries which id most vulnerable to natural disasters, especially earthquakes. This natural phenomenon creates a disaster in an area of Iran every few years and destroys the human and financial potentials of the country and it has also irreversible mental and emotional consequences. Due to the unexpected nature of most natural disasters and the need for rapid and accurate decision-making and implementation process, fundamental and theoretical basis has created a knowledge called crisis management. Bojnord city is the center of Bojnord town in North Khorasan province and is the largest city in the province. The city is one of the high altitudes of North Khorasan and is a mountainous region from the natural perspective. Based on census population in 2011, Bojnord has a population over 207,196 people. Bojnord is one of the cities that are located in a zoning with a very high relative risk. Moses Baba fault and Dubarar-tower fault of Bojnord are located in the immediate vicinity of city and in some regions the city is built along this fault. Faults in Bojnord have been the origin of devastating earthquakes in history and are able to work once again and threaten the city which determined the importance and role of crisis management and passive defense in earthquake more than ever. In addition to the potential threat, Bojnord faults has made clear the adverse consequences arising from the filling of Bojnord plain from human habitations and the development of the city towards the fault line at a distance of 150 meters and this has also attracted attention to passive defense two times more. Therefore, identifying risk zones (faults and earthquakes) in the city can show the vital artery in low risk decision areas and zones with low risk for the construction of temporary housing camps during the crisis. Bojnord is in a bowl surrounded by mountains and down the valley. 

Today, in view of the growing population and population density in urban areas, especially in densely populated and susceptible cities, the need for an inclusive and comprehensive approach to natural disasters and disasters caused by their occurrence has become more evident . Focusing more than the size of the population in specific urban areas, lack of preventive planning and lack of readiness to deal with accidents such as earthquakes, is a very serious and important threat to citizens and the survival of the city. The capital city of Karaj, as one of the major cities in Iran, has a high risk of earthquakes due to the presence of several active faults inside and outside it. Accordingly, investigations of the seismic vulnerability of this city are one of the necessities of Karaj city management. Regarding this, the metropolis of karaj was selected as the study area. The method of research and analysis of information collected based on database-based methods using the ELECTRE FUZZY model and Criteria for building materials, number of floors, quality of buildings, population density, building density, area of parts, width of passageways, geology, distance from faults, distance from medical centers, distance from public space, distance from urban facilities and travel compatibility for research purposes Were used. The results indicate that 6, 8, 1, and 7 areas of Karaj municipality are vulnerable to earthquake, so that more than 70 percent of Karaj city is vulnerable to earthquake vulnerability on low and low floors and Only about 20% of the city of Karaj due to its proximity to the fault and the high density of population, construction and ... is in high and high risk areas. According to the principles of urban planning, the regulations of 2800 can cover earthquake damage in these areas.

An earthquake, though a natural phenomenon that can be very destructive, But urban planning and management can play an important role in the damage it poses. Today, risk analysis is one of the basic needs for planning in general and urban planning in particular. From the perspective of many researchers, urban regeneration is one of the most important issues for sustainability. It serves as a way to strengthen communities by using their capacities. From the issue of choice in the city of Ilam, Ilam is located in the Zagros zone. So that the Zagros area has the highest earthquake with magnitude 4 to 4/5 richter has. According to the necessity of this research, a combination of methods (descriptive, exploratory, surveying, and analytical). In terms of the nature of research, it has a developmental-applied approach in line with the overall objective of urban spatial management planning research from the perspective of resilience is a city of Ilam. Based on the VIKOR statistical statistic, Bootstrap and Bootstrap simulation have been used. Visio, Grafer, SPSS, MINITAB and GIS software have been used to complete the research. Results of the findings were based on Bootstrap simulation and based on the 196 cells studied, distributed among 14 urban districts; The minimum residual cell in the city of Ilam has been around 0.07 percent. Therefore, the dispersion and status of the Ilam city variables can not be confirmed at urban confidence level of 95%. Based on the VIKOR model of the 4th region, the least resiliency and the region of 2 is the highest Ilam city resilience. Also, the regression model calculations have shown that the applied model is a good predictor of the urban regression variable. Because the significance of the present study is less than 0.05.

The route optimization process is one of the analyzes that can be used when there is a constraint on resources and time, including post-earthquake conditions. In this research, this analysis has been used to solve the Travelling Salesman Problem. In this case, the goal is finding the shortest path between a set of points and the algorithm will try to minimize the transmission costs and target function. This paper due to target, is practical and developmental, due to doing method is descriptive and analytical and due to information gathering method is documental and surveying. In order to implement this problem, by considering to the strict scenario of accessing resources, two algorithms including the Ant Colony Optimization and Imperialist Competition Algorithm in the MATLAB environment with the Dijkstra algorithm in the GIS environment have been used. The view points of the model are areas that prepared to temporary post-earthquake settlement in Gorgan city and the spatial and temporal real-time distances in the urban network are used instead of Euclidian distances. The results of the implementation of the model have shown that the Ant Colony Optimization has performed the route optimization in two parameters of time and distance more effectively than the two dijkstra and Imperialist Competition Algorithm.