Affiliation:
1. Department of Civil, Environmental, Land, Construction and Chemistry Polytechnic University of Bari Bari Italy
2. Water Research Institute—National Research Council Bari Italy
3. The Bartlett Faculty of the Built Environment Institute for Environmental Design and Engineering University College London London UK
4. Department of Civil and Environmental Engineering Imperial College London London UK
Abstract
AbstractSeveral modeling tools commonly used for supporting flood risk assessment and management are highly effective in representing physical phenomena, but provide a rather limited understanding of the multiple implications that flood risk and flood risk reduction measures have on highly complex systems such as urban areas. In fact, most of the available modeling tools do not fully account for this complexity—and related uncertainty—which heavily affects the interconnections between urban systems evolution and flood risk, ultimately resulting in an ineffective flood risk management. The present research proposes an innovative methodological framework to support decision‐makers involved in an urban regeneration process at a planning/strategic level, accounting for the multi‐dimensional implications of flood risk and of different flood risk management strategies. The adopted approach is based on the use of System Thinking principles and participatory System Dynamics modeling techniques, and pursues an integration between scientific and stakeholder knowledge. Reference is made to one of the case studies of the CUSSH and CAMELLIA projects, namely Thamesmead (London), a formerly inhospitable marshland currently undergoing a process of urban regeneration, and perceived as being increasingly vulnerable to flooding. It represents an interesting opportunity for building a replicable modeling approach to integrate urban development dynamics with flood risk, ultimately supporting policy and decision‐makers in identifying mitigation/prevention measures and understanding how they could help achieve multi‐dimensional benefits (e.g., environmental, social and economic).
Funder
Wellcome Trust
Natural Environment Research Council
Publisher
American Geophysical Union (AGU)
Cited by
3 articles.
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