Analysing the Physical Resilience of Neighborhood Patterns in Zanjan City Using NSFDSS Model

In recent decades, with the significant increase in the occurrence of natural hazards in the world, the need for resilient cities has increased. The resilient city must have the capacity to withstand any impact, including crises and environmental disasters. According to the UNESCAP report on events related to tectonic hazards, Iran is among the top ten countries in the world and in terms of mortality due to these hazards is ranked between first and third in the world. The city of Zanjan is no exception and is one of the most vulnerable cities in the country to earthquakes due to its location next to three faults and the presence of dense and worn tissues. This raises the need to address the issue of resilience more than ever. In the present study, using a descriptive-analytical method and inorde to compare the patterns of neighborhoods of Zanjan after the Islamic Revolutionas well as prioritizing them in terms of compliance with resilience criteria, the criteria and indicators of physical resilience were extracted. Then, the criteria and indicators were prioritized using the non-structural fuzzy decision support model and examined in post-revolutionary patterns to date in Zanjan neighborhoods. The results showed that the preparation model neighborhoods have the highest resilience and the accelerated and unplanned development model neighborhoods have the lowest resilience.