Abstract for: Analyzing Urban Dynamics After Flood Disaster And Their Relationship With Resilience Characteristics

Interconnected urban systems have complex and non-linear behavior during natural hazards. despite various urban dynamics studies, there is a research gap in understanding how interactions and feedback between multiple urban system’s components cause resilience characteristics that shape urban disaster resilience mechanisms. This research aims to find the dynamic cause-and-effect relationships between interconnected housing components and resilience characteristics using urban flood example. Research scope focuses on disaster interconnections between Housing system, Water infrastructure and Land use in case of 2018 western Japan floods. Through systematic literature review on resilience theory and principles top 12 frequent Resilience characteristics were identified including Redundancy, Adaptability, Diversity, Robustness, and Inclusiveness.After developing CLD and Stock and Flow simulation in Stella Architect software, dynamic scenario of housing flood resilience was formulated using data from 2012 up to 2025 for Mabi town. Results revealed dynamic behavior of housing stocks, disaster damage impact and flow of repairing houses as well as population needing temporary housing. results also showed strong relationship between ‘Temporary housing’ variable with diversity and ‘vacant available housing’ with redundancy. simulating dynamic scenario of housing flood resilience using data from Mabi town in Japan, revealed that the dynamic construction capacity support from outside increases adaptability however maintaining a threshold capacity of redundant local housing is necessary.