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Leveraging the American Housing Survey to Quantify Risk and Resilience.

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Urban resilience planning requires better data. The American Housing Survey (AHS) offers a valuable, underutilized dataset for quantifying risks and improving urban resilience against natural hazards.

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Area of Science:

  • Urban resilience and risk science
  • Quantitative analysis of urban environments

Background:

  • Urbanization and climate change increase natural hazard risks in cities.
  • Quantifying urban resilience metrics for planning is challenging due to data limitations.
  • A need exists for broadly applicable, detailed, and large-scale datasets in urban resilience research.

Purpose of the Study:

  • Introduce the U.S. Census Bureau's American Housing Survey (AHS) as a valuable resource for risk science.
  • Evaluate the strengths and weaknesses of the AHS for urban resilience research.
  • Demonstrate practical applications of the AHS for enhancing urban resilience.

Main Methods:

  • Utilized predictive modeling and multiple dimension reduction techniques.
  • Analyzed spatial and temporal trends within and between cities using AHS data.
  • Investigated relationships between socio-demographic and built environment variables.

Main Results:

  • The AHS provides a rich, longitudinal dataset suitable for cross-city comparisons.
  • Demonstrated the utility of AHS variables for anticipating hazard consequences and perceived risk.
  • Highlighted the AHS's applicability across diverse climatic regions.

Conclusions:

  • The American Housing Survey (AHS) is a powerful, underutilized dataset for advancing urban resilience research.
  • AHS data can significantly improve quantitative risk assessment and planning for natural hazards.
  • Researchers can leverage AHS to build more resilient urban futures.