Mapping a framework for social–ecological resilience in reimaging of abandoned spaces

Abstract

Vacant spaces present affluent areas for the urban landscape. Considering these spaces from a resilience perspective is an effective strategy. This research seeks to assist decision-makers in assessing landscape resilience and drawing on landscape selection process requirements for changes. The current research investigates the review of previous studies and develops a contextual relationship-based model to analyze critical aspects through experts' opinions. The investigation approach was inspired by interpretive structural modeling (ISM) and MICMAC software. MICMAC analysis considered the direct and possible relationships of variables in the future, while the ISM technique discovered the hierarchy of these variables and their relationship with the main areas. Flexibility has the most effectiveness, while Activity has been affected by the most properties. Furthermore, even though it is significant, urban systems lose their flexibility and adaptability in the long run by focusing entirely on engineering measures.