4.7 Article

Governance of flood risk data: A comparative analysis of government and insurance geospatial data for identifying properties at risk of flood

期刊

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.compenvurbsys.2021.101636

关键词

Governance; Geospatial data; Flood; Insurance; Risk management

资金

  1. Social Sciences and Humanities Research Council (SSHRC)
  2. Marine Environmental, Observation, Prediction and Response Network (MEOPAR)

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This study compares flood exposure identified by insurance industry models and government authorities, revealing that the insurance model identifies a greater number of areas and properties at risk of floods, with little overlap between public and private flood maps. The paper discusses opportunities for data integration and increased transparency to support flood resiliency efforts in Canada.
Flood risk maps are essential sources of information for flood risk management (FRM) decisions. Commercial flood models used by the insurance industry are rarely studied in the academic literature which has led to difficulties in understanding their sources of uncertainty and opportunities for improvement. This paper compares regions and residential properties identified as exposed to floods by an insurance industry model and by government authorities responsible for FRM in three Canadian cities. Findings show that the insurance model is identifying substantially greater number of regions and properties as at-risk of flood, and little overlap exists between public and private flood maps. The paper discusses opportunities for data integration and increased data transparency for supporting flood resiliency efforts in Canada.

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