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A delphi method expert survey to derive standards for flood damage data collection.
Florian Elmer1, Isabel Seifert, Heidi Kreibich
1Deutsches GeoForschungsZentrum GFZ, Telegrafenberg, 14473 Potsdam, Brandenburg, Germany. elmer@gfz-potsdam.de
Risk Analysis : an Official Publication of the Society for Risk Analysis
|December 17, 2009
Summary
Reliable flood damage analysis requires standardized data, which is currently lacking in Germany. A Delphi survey of 55 experts established common information needs, paving the way for essential data collection standards.
Area of Science:
- Environmental Science
- Data Management
Background:
- Reliable, comparable, and up-to-date data are crucial for flood damage analysis.
- Germany currently lacks a comprehensive database for such datasets.
- Establishing data collection standards is necessary to build this database.
Purpose of the Study:
- To assess, structure, and standardize expert knowledge on flood damage data needs using a Delphi survey.
- To identify common information requirements for flood damage analysis among diverse experts.
- To evaluate the effectiveness of the Delphi approach in this context.
Main Methods:
- A multi-step Delphi survey was conducted with 55 experts.
- Experts represented insurance, engineering, public water management, and academic institutions.
- The survey focused on identifying essential information needs for flood damage analysis.
Main Results:
- The Delphi method effectively reduced answer deviations, leading to consensual results.
- Expert group answers were refined towards experience-based insights, enhancing data quality.
- A high degree of congruence in information needs was found across different expert fields.
Conclusions:
- The Delphi approach is suitable for assessing, structuring, and standardizing expert knowledge in flood damage analysis.
- Consensual standards for flood damage data collection can be derived from identified common information needs.
- These standards are vital for developing a reliable, comprehensive, and consistent national database in Germany.
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