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Models and Methods for Quantifying the Environmental, Economic, and Social Benefits and Challenges of Green Infrastructure: A Critical Review

Author

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  • Yasser Jezzini

    (Department of Civil and Environmental Engineering, Smart Construction and Intelligent Infrastructure Systems (SCIIS) Lab, New Jersey Institute of Technology, Newark, NJ 07102, USA)

  • Ghiwa Assaf

    (Department of Civil and Environmental Engineering, Smart Construction and Intelligent Infrastructure Systems (SCIIS) Lab, New Jersey Institute of Technology, Newark, NJ 07102, USA)

  • Rayan H. Assaad

    (Department of Civil and Environmental Engineering, Smart Construction and Intelligent Infrastructure Systems (SCIIS) Lab, New Jersey Institute of Technology, Newark, NJ 07102, USA)

Abstract

With growing urbanization and increasing climate change-related concerns, green infrastructures (GIs) are recognized as promising solutions for mitigating various challenges and promoting sustainable development. Despite the important role of GIs, a comprehensive synthesis of the quantification of their full range of benefits and challenges is lacking in the current literature. To address this gap, a systematic literature review was conducted on the quantifiable environmental, economic, and social benefits and challenges of GIs. This paper followed the Preferred Reporting Items for Systematic Review (PRISMA) methodology, where 75 relevant articles were reviewed to present the various models and methods that could be used to quantify and assess the impacts of different GI types. The study further investigated existing knowledge trends and patterns, identified research gaps, and suggested future research directions. The results revealed that while existing research studies offer great insights into the impacts of GIs, a more holistic approach is necessary to balance the benefits and challenges of GIs. The findings also offered a comprehensive understanding of a wide range of environmental, economic, and social considerations of both natural and engineered GIs. Ultimately, the performed literature review serves as a comprehensive guide for researchers and practitioners and could be used in estimating and evaluating the benefits and challenges of GI plans and programs as well as in making informed decisions about GI projects.

Suggested Citation

  • Yasser Jezzini & Ghiwa Assaf & Rayan H. Assaad, 2023. "Models and Methods for Quantifying the Environmental, Economic, and Social Benefits and Challenges of Green Infrastructure: A Critical Review," Sustainability, MDPI, vol. 15(9), pages 1-40, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7544-:d:1139445
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    References listed on IDEAS

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    1. David Moher & Alessandro Liberati & Jennifer Tetzlaff & Douglas G Altman & The PRISMA Group, 2009. "Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement," PLOS Medicine, Public Library of Science, vol. 6(7), pages 1-6, July.
    2. Berardi, Umberto & GhaffarianHoseini, AmirHosein & GhaffarianHoseini, Ali, 2014. "State-of-the-art analysis of the environmental benefits of green roofs," Applied Energy, Elsevier, vol. 115(C), pages 411-428.
    3. Manso, Maria & Castro-Gomes, João, 2015. "Green wall systems: A review of their characteristics," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 863-871.
    4. Sue Easton & Loretta Lees & Phil Hubbard & Nicholas Tate, 2020. "Measuring and mapping displacement: The problem of quantification in the battle against gentrification," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 286-306, February.
    5. Alessandro Rigolon & Jeremy Németh, 2020. "Green gentrification or ‘just green enough’: Do park location, size and function affect whether a place gentrifies or not?," Urban Studies, Urban Studies Journal Limited, vol. 57(2), pages 402-420, February.
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    Cited by:

    1. Xiaoqi Yang & Qian Wang & Yifan Chen & Takeshi Kinoshita, 2024. "Exploration of the Technologies Application Experience of Landscape-Scale Green Infrastructure by the Conservation Fund," Land, MDPI, vol. 13(10), pages 1-30, October.
    2. Saleh Qanazi & Ihab H. Hijazi & Isam Shahrour & Rani El Meouche, 2024. "Exploring Urban Service Location Suitability: Mapping Social Behavior Dynamics with Space Syntax Theory," Land, MDPI, vol. 13(5), pages 1-16, April.
    3. Ghiwa Assaf & Rayan H. Assaad, 2023. "Optimal Preventive Maintenance, Repair, and Replacement Program for Catch Basins to Reduce Urban Flooding: Integrating Agent-Based Modeling and Monte Carlo Simulation," Sustainability, MDPI, vol. 15(11), pages 1-27, May.

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