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arXiv · 1903.11478

Information Fusion to Estimate Resilience of Dense Urban Neighborhoods

Anthony Palladino·Elisa J. Bienenstock·Bradley M. West·Jake R. Nelson·Tony H. Grubesic
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Abstract

Diverse sociocultural influences in rapidly growing dense urban areas may induce strain on civil services and reduce the resilience of those areas to exogenous and endogenous shocks. We present a novel approach with foundations in computer and social sciences, to estimate the resilience of dense urban areas at finer spatiotemporal scales compared to the state-of-the-art. We fuse multi-modal data sources to estimate resilience indicators from social science theory and leverage a structured ontology for factor combinations to enhance explainability. Estimates of destabilizing areas can improve the decision-making capabilities of civil governments by identifying critical areas needing increased social services.

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Anthony Palladino, Elisa J. Bienenstock, Bradley M. West, Jake R. Nelson, Tony H. Grubesic. 2019-03-27. Information Fusion to Estimate Resilience of Dense Urban Neighborhoods. https://arxiv.org/abs/1903.11478

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