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  • Presentation | NH23D: Progress, Ethics, and Accuracy in Building Stock Attribution Poster
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  • NH23D-0496: Creating an IN-CORE Building Inventory by leveraging the NSI Dataset
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  • Board 0496‚ Hall EFG (Poster Hall)
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Author(s):
Yong Wook Kim, University of Illinois at Urbana Champaign (First Author)
Dylan Sanderson, Oregon State University
Chris Navarro, University of Illinois at Urbana Champaign
Rob Kooper, National Center for Super Computing Applications
Jong Lee, University of Illinois at Urbana Champaign
Chen Wang, University of Illinois at Urbana Champaign
Rashmil Panchani, University of Illinois (Presenting Author)


Understanding how buildings are likely to be damaged during natural disasters—like earthquakes, floods, tsunamis, and hurricanes—is essential to keeping communities safe. However, many communities don’t have detailed information about their buildings, making it difficult to plan for or recover from these events. This project helps solve that problem by using existing national data to automatically create a “building inventory” for any U.S. county. The tool is part of a larger platform called IN-CORE, which supports disaster planning and community resilience research. By entering a county code, users can quickly generate a list of buildings with important characteristics—like structure type and size—that are needed to estimate damage. This makes it much easier for local planners, researchers, and emergency managers to assess risk, simulate disaster impacts, and explore recovery strategies. This approach reduces the burden of data collection and gives more communities access to powerful resilience tools.



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