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Understanding housing flood resilience through Bayesian networks: A data-driven framework

Flooding poses a significant threat to housing facilities, particularly in flood-prone areas. To mitigate ongoing flood damage, it is crucial to enhance the understanding of underlying factors and the dynamic interactions among elements that contribute to such damage. This study offers a transferable methodology and adaptable models, which is a significant contribution to the knowledge base for improving flood resilience globally, and it sets a new standard for data integration in resilience assessment.
Author:

Rathnasiri, Pavithra; Adeniyi, Onaopepo; Thurairajah, Niraj

Language: English
Published By: Environmental Challenges
Published date: December 2025

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