Participatory modelling for stakeholder involvement in the development of flood risk management intervention options

Maskrey, Shaun A., Mount, Nick J., Thorne, Colin R. and Dryden, Ian L. (2016) Participatory modelling for stakeholder involvement in the development of flood risk management intervention options. Environmental Modelling and Software, 82 . pp. 275-294. ISSN 1364-8152

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Abstract

Advancing stakeholder participation beyond consultation offers a range of benefits for local flood risk management, particularly as responsibilities are increasingly devolved to local levels. This paper details the design and implementation of a participatory approach to identify intervention options for managing local flood risk. Within this approach, Bayesian networks were used to generate a conceptual model of the local flood risk system, with a particular focus on how different interventions might achieve each of nine participant objectives. The model was co-constructed by flood risk experts and local stakeholders. The study employs a novel evaluative framework, examining both the process and its outcomes (short-term substantive and longer-term social benefits). It concludes that participatory modelling techniques can facilitate the identification of intervention options by a wide range of stakeholders, and prioritise a subset for further investigation. They can help support a broader move towards active stakeholder participation in local flood risk management.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/797886
Keywords: Participatory modelling, Bayesian networks, Flood risk, Stakeholder, Evaluation, Social capacity
Schools/Departments: University of Nottingham, UK > Faculty of Social Sciences > School of Geography
University of Nottingham, UK > Faculty of Science > School of Mathematical Sciences
Identification Number: https://doi.org/10.1016/j.envsoft.2016.04.027
Depositing User: Mount, Dr Nick
Date Deposited: 29 Apr 2016 10:29
Last Modified: 04 May 2020 17:58
URI: https://eprints.nottingham.ac.uk/id/eprint/33037

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