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Updated: May 9, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
A framework for understanding risk perception, explored from the perspective of the water practitioner
Meredith Frances Dobbie1, Rebekah Ruth Brown
1CRC for Water Sensitive Cities, Monash Water for Liveability, and School of Geography and Environmental Science, Monash University, Wellington Road, Clayton, Victoria 3800, Australia.
Social and institutional barriers, like risk perceptions, hinder sustainable urban water systems. Understanding these perceptions is key to implementing alternative water sources and improving water management.
Area of Science:
- Environmental Science
- Urban Planning
- Risk Management
Background:
- Sustainable urban water systems integrate centralized and decentralized infrastructure.
- Social and institutional barriers, particularly risk perceptions, impede the adoption of these systems.
- Risk perceptions influence decision-making in water management but are often unacknowledged.
Purpose of the Study:
- To address the gap in understanding risk perceptions' role in sustainable water management.
- To present a framework for understanding risk perceptions related to alternative water sources.
- To aid water practitioners in navigating implementation challenges.
Main Methods:
- Synthesized a framework from a critical review of perception and risk perception studies.
- Built the framework on the relational theory of risk.
- Interpreted the framework for water practitioners, defining 'risk object' and 'object at risk'.
Main Results:
- The framework helps practitioners understand their own and others' differing risk perceptions.
- Identifies 'risk objects' (e.g., alternative systems) and 'objects at risk' (e.g., public health, reputation).
- Provides a tool for analyzing the human factors influencing the adoption of new water technologies.
Conclusions:
- Acknowledging and understanding risk perceptions is crucial for advancing sustainable urban water management.
- The proposed framework offers a structured approach to analyzing these perceptions.
- Further empirical research is needed to validate and refine the framework in practice.
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