@article{ref1,
title="Project APRED: a web-based data analytics platform for supporting community disaster resilience",
journal="Journal of emergency management",
year="2023",
author="Obi, Ike and Paul, Logan J. and Liao, William and Loukil, Mariem and Hayashi, Soichi and Comer, Max and Rogers, Carol O. and Wild, David J. and Shih, Patrick C.",
volume="21",
number="5",
pages="399-419",
abstract="In this paper, we introduce the Analysis Platform for Risk, Resilience, and Expenditure in Disasters (APRED)-a disaster-analytic platform developed for crisis practitioners and economic developers across the United States (US). APRED provides practitioners with a centralized platform for exploring disaster resilience and vulnerability profiles of all counties across the US. The platform comprises five sections including: (1) Disaster Resilience Index, (2) Business Vulnerability Index, (3) Disaster Declaration History, (4) County Profile, and (5) Storm History sections. We further describe our end-to-end human-centered design and engineering process that involved contextual inquiry, community-based participatory design, and rapid prototyping with the support of US Economic Development Administration representatives and regional economic developers across the US. <br><br>FINDINGS from our study revealed that distributed cognition, content heuristic, shareability, and human-centered systems are crucial considerations for developing data-intensive visualization platforms for resilience planning. We discuss the implications of these findings and inform future research on developing sociotechnical visualization platforms to support resilience planning.<p /> <p>Language: en</p>",
language="en",
issn="1543-5865",
doi="10.5055/jem.0735",
url="http://dx.doi.org/10.5055/jem.0735"
}