Leveraging the American Housing Survey to Quantify Risk and Resilience
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View abstract on PubMed
Summary
This summary is machine-generated.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.
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.
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