Machine Learning-based Approach for Ex-post Assessment of Community Risk and Resilience Based on Coupled Human-infrastructure Systems Performance

arXiv:2404.07966v1 Announce Type: cross
Abstract: There is a limitation in the literature of data-driven analyses for the ex-post evaluation of community risk and resilience, particularly using features related to the performance of coupled human-infrastructure systems. To address this gap, in this study we created a machine learning-based method for the ex-post assessment of community risk and resilience and their interplay based on features related to the coupled human-infrastructure systems performance. Utilizing feature groups related to population protective actions, infrastructure/building performance …

abstract arxiv assessment community cs.cy cs.lg data data-driven evaluation features gap human infrastructure literature machine machine learning performance resilience risk study systems type