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Despite long decades of research studies in the field of urban neighborhood resilience, there are still some unknown dimensions. In this regard, the study aims to develop a new framework for assessment of physical and social resilience at neighborhood level against earthquake.

Accordingly, first all indicators affecting earthquake resilience at neighborhood level have been determined. Subsequently, they have been weighted and prioritized, using analytical hierarchy process technique. One of the neighborhoods of Tehran city in Iran was selected for the case study. Then, four criteria of “robustness,” “redundancy,” “rapidity” and “resourcefulness” were considered as the basis for assessing neighborhood resilience.

It is shown that besides four well-known criteria, four other criteria including “adaptability,” “regularity,” “density” and “efficiency” should also be considered to assess earthquake resilience at neighborhood level. Therefore, a new framework is developed and formulated at this level. Paying attention to all eight criteria, the appropriate interventions to improve resiliency can be addressed.

This study proposes several practical approaches toward the more resilient neighborhoods against earthquakes. By considering the complexity and dynamic characteristics of earthquake resilience, it recommends the implementation of all resilience phases at every neighborhood to increase resilience.

This study proposes a framework in which in addition to physical and tangible indicators of resilience, non-physical and intangible ones are presented. Also, it is shown that besides well-known criteria, other criteria should also be considered using practical and community-based approaches.

Finding an appropriate place for temporary housing after an earthquake is one of the main challenges of disaster risk management, especially in developing countries. Therefore, it is necessary to create pre-disaster location plans for the homeless population. This study aims to systematically find safe places and select suitable sites according to influential factors.

The research methodology used is a descriptive–analytical method. A field survey with a quantitative–qualitative approach is applied to recognize physical vulnerabilities and select suitable sites for temporary settlements. Due to the occurrence of several earthquakes in recent decades around the city of Isfahan, Iran, this area has been studied. Fuzzy analytic hierarchy process, geographic information system and rapid visual screening have been used for data analysis.

According to the site selection and vulnerability criteria and their prioritization, the findings indicate that 60% of the study area is vulnerable. Moreover, vacant lots, stadiums and public green spaces that can be used as multi-purpose sites are the most appropriate options for the temporary settlement.

The research criteria are generalizable and can be used for decision-making, concerning urban fabric vulnerability and site selection of temporary housing in cities exposed to earthquake risk.

Cultural features, accessibility, land conditions, the slope and type of land, availability and construction materials were addressed in locating temporary settlements. In addition to vacant lots and open spaces, safe buildings were also identified for temporary housing, and religious minorities and similar communities were considered.

As a flood-prone region in Iran, Golestan province has encountered various disasters in its history. The last one occurred in March 2019, affected Aq-Qala County and caused irreparable physical, economic, social and environmental problems. The purpose of this study is to investigate the process of providing shelter in emergency, rehabilitation and reconstruction phases after the floods in the villages of Aq-Qala.

A research method is a hybrid approach. The collection of data involved a combination of qualitative and quantitative approaches in addition to reviewing the documented texts in resources to collect the required data using observations, field survey activities, questionnaires and in-depth interviews. From April 2019 to December 2019, nine separate visits have occurred to collect the needed information.

This paper shows dissatisfaction with providing shelter and attempts to identify the factors which caused the challenges. The findings revealed issues such as hygienic problems in collective camps, lack of thermal resistance in temporary accommodations and rising material prices. These findings lead to a contributive list of suggestions avoiding the recurrence of the harms in the future.

This study proposes solutions and approaches to improve the post-flood settlement process for possible floods in the future such as equipped camps, proper temporary housing, monitoring the reconstruction and the price of the materials. If these approaches are used by authorities and people in similar rural areas, the long-term effects of inadequate post-flood shelter can be reduced.

Golestan province in the northern part of Iran has been affected by devastating floods. There has been a significant change in the pattern of rainfall in Golestan province based on an analysis of the seven heaviest rainfall events in recent decades. Climate change appears to be a significant contributing factor to destructive floods. Thus, this paper aims to assess the susceptibility of this area to flash floods in case of heavy downpours.

This paper uses a variety of computational approaches. Following the collection of data, spatial analyses have been conducted and validated. The layers of information are then weighted, and a final risk map is created. Fuzzy analytical hierarchy process, geographic information system and frequency ratio have been used for data analysis. In the final step, a flood risk map is prepared and discussed.

Due to the complex interaction between thermal fluctuations and precipitation, the situation in the area is further complicated by climate change and the variations in its patterns and intensities. According to the study results, coastal areas of the Caspian Sea, the Gorganrood Basin and the southern regions of the province are predicted to experience flash floods in the future. The research criteria are generalizable and can be used for decision-making in areas exposed to flash flood risk.

The unique feature of this paper is that it evaluates flash flood risks and predicts flood-prone areas in the northern part of Iran. Furthermore, some interventions (e.g. remapping land use and urban zoning) are provided based on the socioeconomic characteristics of the region to reduce flood risk. Based on the generated risk map, a practical suggestion would be to install and operate an integrated rapid flood warning system in high-risk zones.