Abstract
The aim of the research is spatial modeling to assess urban resilience. A group of Delphi experts were involved, in stages, to select the final criteria. Using Multi-Criteria Decision Analysis (MCDA) by (AHP), the final criteria were ranked according to weight and importance. Criteria maps within a GIS environment were combined with AHP results, to create an Urban Resilience Map (URM). The results showed that (52.19%) of the study area achieved high resilience, (30.86%) medium resilience and (16.95%) low resilience. The results also showed that there are differences between the neighborhoods of the city of Bou-Saâda in terms of resilience that can be determined spatially. The results of this research can be used as a decision aid such as providing suggestions to planners and managers in prioritizing their interventions (such as urban renewal of neighborhoods) by conducting checks on less resilience criteria, in order to support the city's ability to respond to shocks.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.