A Spatial Decision Support System for Modeling Urban Resilience to Natural Hazards

A major component of urban management is studying and evaluating urban resilience in order to minimize the effects of natural hazards. This is because of the increasing number of natural hazards occurring worldwide. A spatial decision support system is presented for modeling urban resilience and sel...

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Bibliographic Details
Published in:Sustainability 2023-05, Vol.15 (11), p.8777
Main Authors: Rezaei, Hamid, Macioszek, Elżbieta, Derakhshesh, Parisa, Houshyar, Hassan, Ghabouli, Elias, Bakhshi Lomer, Amir Reza, Ghanbari, Ronak, Esmailzadeh, Abdulsalam
Format: Article
Language:English
Subjects:
Analysis
Cities
Criteria
Demographics
Demography
Earthquake resistance
Earthquakes
Floods
Geographic information systems
Geospatial data
Iran
Landslides & mudslides
Modelling
Multiple criteria decision making
Population density
Resilience
Risk aversion
Rivers
Seismic activity
Sustainability
Urban areas
Urban planning
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Summary:A major component of urban management is studying and evaluating urban resilience in order to minimize the effects of natural hazards. This is because of the increasing number of natural hazards occurring worldwide. A spatial decision support system is presented for modeling urban resilience and selecting resilient zones in response to natural hazards. This system is implemented based on 22 criteria, grouped into three categories: demographics, infrastructure, and environmental. The criteria are then standardized using minimum and maximum methods, and their importance is determined by the analytical hierarchy process (AHP). The resilience maps in various scenarios are prepared using the ordered weighted average (OWA) method. Flow accumulation (distance from fault), vulnerable population density (vulnerable population density), and distance from road network (material type) were regarded as the most important criteria for flood resilience (earthquake resilience) from environmental, demographic, and infrastructure criteria, respectively. There are different areas that are considered to have very low resilience depending on the risk attitude. According a pessimistic scenario, 1% of Tehran's area has very low resilience, while according to an optimistic scenario, 38% has very low resilience. This system can be used by urban planners and policymakers for the purpose of improving resilience to natural hazards in low-resilience areas.
ISSN:2071-1050
2071-1050
DOI:10.3390/su15118777