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All Outputs (4)

Using Learning and Action Alliances to build capacity for local flood risk management (2020)
Journal Article
Maskrey, S., Vilcan, T., O’Donnell, E., & Lamond, J. (2020). Using Learning and Action Alliances to build capacity for local flood risk management. Environmental Science and Policy, 107, 198-205. https://doi.org/10.1016/j.envsci.2020.02.012

Learning and Action Alliances (LAAs) are becoming an increasingly popular method for overcoming the challenges associated with participatory forms of governance, where decision making requires collaboration between stakeholders. In flood risk managem... Read More about Using Learning and Action Alliances to build capacity for local flood risk management.

Drivers of future urban flood risk (2020)
Journal Article
O'Donnell, E. C., & Thorne, C. R. (2020). Drivers of future urban flood risk. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, 378(2168), https://doi.org/10.1098/rsta.2019.0216

Managing urban flood risk is a key global challenge of the 21st Century. Drivers of future UK flood risk were identified and assessed by the Flood Foresight project in 2002-04 and 2008; envisaging flood risk during the 2050s and 2080s under a range o... Read More about Drivers of future urban flood risk.

Developing the implicit association test to uncover hidden preferences for sustainable drainage systems (2020)
Journal Article
O'Donnell, E., Maskrey, S., Everett, G., & Lamond, J. (2020). Developing the implicit association test to uncover hidden preferences for sustainable drainage systems. Philosophical Transactions A: Mathematical, Physical and Engineering Sciences, 378(2168), https://doi.org/10.1098/rsta.2019.0207

Understanding public perceptions of Sustainable Drainage Systems (SuDS) is critical for addressing barriers to their implementation. Perceptions are typically evaluated using explicit measures (e.g. questionnaires) that are subject to biases and may... Read More about Developing the implicit association test to uncover hidden preferences for sustainable drainage systems.