Analysis of factors affecting the increase of social resilience of cities (Case study: Najafabad city)

Objective: Social resilience to improve and keep the city's performance as one of the fundamental strategies For Disaster Reduction Against Hazards Special emphasis is placed on Forming social groups and Upgrade social capital and increasing participation among residents.Therefore,identifying the factors that promote social resilience can reduce vulnerability to natural hazards.Therefore, the main purpose of this study is to analyze the relationship between social components and prioritize the effective factors on promoting social resilience in Najaf Abad. Methods: Current article is In terms of functional purpose  and with the descriptive-analytical methodan. Data collection was done by means of questionnaire and survey. Amos Structural Equation Modeling was used to analyze and process the data. Results:According to the results, the most influential component on promoting social resilience against natural hazards in Najaf Abad is the social capital component with path coefficient of 0.82. Conclusion: In case of efforts are made to improve neighborly relations, it can be hoped that, when risks occur, individuals with appropriate and timely response and behavior will preserve their lives and those around them and be less likely to suffer mental, financial, and personal injury. In general, promoting social capital and partnerships between citizens can increase social resilience in the city of Najafabad and reduce vulnerability at the time of the hazards

Holistic Resilience Quantification Framework of Rural Communities

Communities need to prepare for anticipated hazards, adapt to varying conditions, and resist and recover rapidly from disturbances. Protecting the built environment from natural and man-made hazards and understanding the impact of these hazards helps allocate resources efficiently. Recently, an indicator-based and time-dependent approach was developed for defining and measuring the functionality and disaster resilience continuously at the community level. This computational method uses seven dimensions that find qualitative characteristics and transforms them into quantitative measures. The proposed framework is used to study the resilience of rural communities’ subject to severe flooding events. Harlan County in the Appalachian region is chosen as a case study to evaluate the proposed resilience quantification framework subject to severe flooding. The results show the validity of the proposed approach as a decision-support mechanism to assess and enhance the resilience of rural communities

Alternative Resilience Indices for City Ecosystems Subjected to Natural Hazards

Prompt and efficient responses against natural hazards are needed to build cities capable of withstanding disasters, namely resilient cities. This study aims at presenting and testing synthetic resilience indices over a real urban center threatened by multiple hazards, for which a global overview of city performance is requested. An integrated framework is proposed for quantitative resilience assessment by way of time-independent synthetic indices. The approach proposed is in accordance to the complex network theory and uses a global indicator of the system connectivity to assess the city functioning also in case of network disruption. Resilience is evaluated as a proxy for systemic urban damage by modeling a city ecosystem as a hybrid social–physical network. Seismic and landslide scenario analyses are performed for the city of Sarno, Italy. A probability-based approach is used to compute urban vulnerability. Subsequently, to highlight changes in results according to the type of disaster, a recovery strategy is simulated to assess efficiency and damage states in each recovery stage, and urban resilience