Ruan, T., Paavola, J. orcid.org/0000-0001-5720-466X, Chan, F.K.S. et al. (3 more authors) (2023) A lack of focus on data sharing, stakeholders, and economic benefits in current global green infrastructure planning. Journal of Environmental Management, 351. 119849. ISSN 1075-4253
Abstract
Green infrastructure (GI) is increasingly popular in solving urban environmental challenges and enhancing ecosystem services. Yet the research status and challenges of GI planning have not been comprehensively benchmarked to date. We explored the GI types, actions, goals, and spatiotemporal characteristics of GI planning cases worldwide based on the available literature. The challenges of GI planning were also investigated by the cases included in this manuscript. Additionally, the urban governance solutions to address these challenges were proposed. We found that multi-type GI planning is the most popular. Data sharing, stakeholder participation, economic benefits and research funding for GI planning research were generally inadequate, although they have improved trend over time. Multiple-goal GI planning frequently has higher levels of data sharing, stakeholder participation and economic benefits than GI planning that just takes into account one purpose. We conclude that the future transformation of GI planning requires efficient data sharing mechanisms, effective co-design among stakeholders, systematic business models, and available research funding.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2023 Elsevier Ltd. This is an author produced version of an article published in Journal of International Management. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Green infrastructure, Data sharing, Stakeholder, Economic benefits, Research funding, Transformation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Earth and Environment (Leeds) > Sustainability Research Institute (SRI) (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Dec 2023 15:50 |
Last Modified: | 11 Jan 2024 16:10 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.jenvman.2023.119849 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:206607 |
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