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Title: Crowd-based spatial risk assessment of urban flooding: Results from a municipal flood hotline in Detroit, MI

Journal Article · · Journal of Flood Risk Management
DOI: https://doi.org/10.1111/jfr3.12974 · OSTI ID:2348941
ORCiD logo [1];  [2];  [3];  [3];  [2]
  1. Univ. of Michigan, Ann Arbor, MI (United States); Wayne State University
  2. Wayne State Univ., Detroit, MI (United States)
  3. Univ. of Michigan, Ann Arbor, MI (United States)

Climate change is increasing the frequency and intensity of extreme precipitation events, raising the risk of urban flood disasters. This study uses a crowd-sourced municipal call database to characterize the spatial distribution of flood risk in Detroit, MI. Call data including dates and addresses were obtained from the City of Detroit Department of Public Works for 2021. Calls were mapped and aggregated to census tract counts and merged with neighborhood-level data. Associations of predictors with flood calls were tested using spatial regression models. Flooding calls were located throughout the city but were concentrated in specific areas. Multivariate models of census tract level call counts indicated that increased poverty and Black, immigrant, and older residents were positively associated with flood calls, while increased elevation was associated with protective effects. Longer distances from waste water interceptors were associated with higher risk for calls. Crowd-sourced flood hotline call data can be used for effective spatial flood risk assessment. Though flooding occurs throughout the city of Detroit, infrastructural, neighborhood, and household factors influence flooding extent. Limitations included the self-reported nature of calls. Future modeling efforts might include input from local stakeholders to improve spatial risk assessment.

Research Organization:
Wayne State Univ., Detroit, MI (United States)
Sponsoring Organization:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Renewable Power Office. Solar Energy Technologies Office
Grant/Contract Number:
EE0010413
OSTI ID:
2348941
Report Number(s):
DOE--WSU-0010413-CM
Journal Information:
Journal of Flood Risk Management, Journal Name: Journal of Flood Risk Management Journal Issue: 2 Vol. 17; ISSN 1753-318X
Publisher:
The Chartered Institution of Water and Environmental Management (CIWEM), WileyCopyright Statement
Country of Publication:
United States
Language:
English

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