Actor networks in urban water governance

Fischer, Manuel; Ingold, Karin; Duygan, Mert; Manny, Liliane; Pakizer, Katrin

doi:10.4324/9781003057574-21

Cited by 2 publications

(7 citation statements)

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“…Simple measures such as degree and betweenness centrality can reveal that actors have tens or even up to a hundred ties to other actors, or that they may be in a key position for conveying information within the network. We argue that this type of analysis can greatly deepen the understanding of the collaborative processes in flood risk governance, as it already has in other areas of environmental and water governance research (e.g., Cisneros, 2019; Fischer & Ingold, 2020; Ulibarri & Scott, 2017).…”

Section: Discussionmentioning

confidence: 99%

“…The relations between nodes represent, for example, information flows, formal or informal cooperation, conflict, or any other type of affiliation. These relations can be dichotomous (i.e., existing or absent), directed or undirected (i.e., one‐way or two‐way), have a quantitative weight assigned to them, or have a range of qualitative of quantitative properties (Fischer & Ingold, 2020; Knoke & Yang, 2020).…”

Section: Context and Theory: Flood Risk Governance And Networkmentioning

confidence: 99%

“…A network with only one type of nodes is called a single‐mode network or a simple network , whereas a network with two types of nodes is referred to as a two‐mode network . Networks with several types of nodes are called multimode networks (Fischer & Ingold, 2020). Networks can also be classified as monoplex or multiplex networks, whereby the first refers to a situation where nodes have only one type of connection between them, and the latter to networks where a set of nodes can have several types of connections (Robins, 2015).…”

Section: Context and Theory: Flood Risk Governance And Networkmentioning

confidence: 99%

“…SNA has been applied in environmental and water governance research (e.g., Chaffin et al, 2016; Fischer & Ingold, 2020; Kellogg & Samanta, 2018), but its application to flood risk governance has been limited and focused on ego‐networks (Witting et al, 2021), flood risk mitigation (Becker, 2020), and the elaboration of flood risk management plans (Ceddia et al, 2017). Yet, the importance of network analysis is increasing due to the ongoing shift from mere flood protection toward more multi‐functional, flexible, and nature‐based solutions, which require improved collaborative and coordination practices among a variety of actors (Blázquez et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Social network analysis (SNA) provides one promising way to analyze such multi‐actor processes and networks. SNA refers to a set of methods used for analyzing and interpreting relational patterns, connections, and structures between various types of actors and actor groups, who may be, for example, individuals, institutions or organizations (Fischer & Ingold, 2020).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Social network analysis of EU flood risk management plans: Case Finland

Banafa,

Eräranta,

Peltonen

et al. 2023

J Flood Risk Management

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Flood risks are increasing in Europe, and the EU Floods Directive is one of the main efforts to implement and harmonize effective flood risk governance and management among member states. At the same time, the ongoing shift from mere flood protection to multi‐functional flood risk governance calls for increased collaboration among a diversity of actors, typically with varying interests and responsibilities. In this study, we analyze the actor networks unfolding from flood risk management plans to visualize the diversity of roles and connections between actors participating in flood risk management measures. We introduce a new framework for analyzing flood risk management plans and related actor networks using Social Network Analysis and test it in the context of Finland. The framework helps to visualize the diversity of networks for different flood risk management strategies. The analysis also reveals the central roles that different types of actors—including those outside the public sector—occupy in the network. The findings suggest that Social Network Analysis can be used in the context of EU flood risk governance and that flood risk management plans offer an excellent opportunity for comparative governance studies in the EU.

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Section: Discussionmentioning

confidence: 99%

Section: Context and Theory: Flood Risk Governance And Networkmentioning

confidence: 99%

Section: Context and Theory: Flood Risk Governance And Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Social network analysis of EU flood risk management plans: Case Finland

Banafa,

Eräranta,

Peltonen

et al. 2023

J Flood Risk Management

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Sustainable Water Policymaking for the Hotel Industry: A Longitudinal Network Analysis of Policy Documents

Hu,

Ying,

Lovelock

et al. 2023

Sustainability

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Safeguarding water resources in tourism contributes to the achievement of the United Nations Sustainable Development Goals (SDGs) and to the wider 2030 Agenda for Sustainable Development. However, sustainable management of water, in order to address both current and future demand for water resources in an equitable and environmentally sound manner, is one of the most significant challenges faced by tourist destinations. Using a case study approach, this research conducts a social network analysis (SNA) of the water policymaking system of Singapore’s hotel industry by longitudinally examining the structure of relations among policy themes and policy stakeholders. The network approach attempts to examine the structural evolution in the water demand management (WDM) policy network based on an analysis of 329 (co)produced policy documents (2001–2020) available in the public domain. A broad range of policy themes, together with divergent policy stakeholders, are uncovered in this interconnected dynamic policy system. Subsequently, systematic policy research is extended to discuss the interrelationships of policy stakeholders and policy themes over the past 20 years. Our findings highlight the network structure of the policy domain and suggest an openness and vibrancy of sustainable WDM as an interdisciplinary policy domain. Cross-sectoral stakeholder engagement has contributed to the evolution and complexity of the policy theme network. The study’s findings provide significant insights into the relationships of policy actors and the evolving network structure of a multidimensional policy framework.

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Actor networks in urban water governance

Cited by 2 publications

References 0 publications

Social network analysis of EU flood risk management plans: Case Finland

Social network analysis of EU flood risk management plans: Case Finland

Sustainable Water Policymaking for the Hotel Industry: A Longitudinal Network Analysis of Policy Documents

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