Investigating the Data Inputs and Requirements for Response and Recovery Decision Models in Flooding Events
Publication: Computing in Civil Engineering 2023
ABSTRACT
Access to accurate and timely data by disaster response decision-makers is vital in the management of flood risk. The possibilities of using emerging and historical data have increased the need to develop systematic methods for evaluating data input requirements to ensure appropriate use of data-driven methods in disaster response. The goal of this work is to present current data formats and requirements in response and recovery decision models and identify potentials to include measures of equity to make them more flexible and equitable for a larger segment of the US population. This study evaluates existing decision models and presents a framework to aid researchers and modelers to incorporate social vulnerability and community data with other data sources used in disaster response and recovery. The framework contributes to the advancement of flood resilience management by providing an analysis process to facilitate inclusion of diverse data streams for use in decision-making.
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Information & Authors
Information
Published In
Computing in Civil Engineering 2023
Pages: 110 - 117
History
Published online: Jan 25, 2024
ASCE Technical Topics:
- Business management
- Decision making
- Disaster preparedness
- Disaster recovery
- Disaster response
- Disaster risk management
- Engineering fundamentals
- Floods
- Hydrologic data
- Hydrologic engineering
- Hydrology
- Information management
- Model accuracy
- Models (by type)
- Practice and Profession
- Risk management
- Water and water resources
Authors
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