IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2023i1p203-d1307423.html
   My bibliography  Save this article

Evaluating Trade-Offs in Ecosystem Services for Blue–Green–Grey Infrastructure Planning

Author

Listed:
  • Hanxi Chen

    (Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-sen University, 135 Xingang Xi Road, Guangzhou 510275, China
    These authors contributed equally to this work.)

  • Jing Li

    (Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-sen University, 135 Xingang Xi Road, Guangzhou 510275, China
    These authors contributed equally to this work.)

  • Yafei Wang

    (Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-sen University, 135 Xingang Xi Road, Guangzhou 510275, China)

  • Zhuobiao Ni

    (Guangdong Provincial Key Laboratory of Agricultural & Rural Pollution Abatement and Environmental Safety, College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China)

  • Beicheng Xia

    (Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, School of Environmental Science and Engineering, Sun Yat-sen University, 135 Xingang Xi Road, Guangzhou 510275, China)

Abstract

The effectiveness and feasibility of urban planning are significantly influenced by the supply capacity and net value of ecosystem services offered by blue–green–grey infrastructure. This study used a cost–benefit analysis (CBA) to ascertain and contrast the ecological net present value (NPV) of the blue–green–grey infrastructure in three distinct functional areas (a park, a square, and a residential district) under 12 scenarios during the period characterized by representative summer temperature, which we refer to as “warm periods”. Our findings suggest varied optimal scenarios for the three functional areas. For the park, the most beneficial scenario involved an integrated approach with a 5% increase in grey infrastructure and a 5% replacement of green infrastructure with grey. This scenario yielded an NPV of 7.31 USD/m 2 in a short-term life span (25 years) and 11.59 USD/m 2 in a long-term life span (150 years). In the case of the square, the introduction of an additional 5% of blue infrastructure led to the highest NPV of ecological benefits, resulting in gains of 1.49 USD/m 2 for a short-term life span and 2.18 USD/m 2 for a long-term life span. For the residential district, the scenario where 5% of green infrastructure was replaced with blue infrastructure resulted in the highest NPV across all scenarios, with values of 8.02 USD/m 2 and 10.65 USD/m 2 for a short- and long-term life span, respectively. Generally, the most beneficial scenario yielded greater benefits over the long term compared with short-term projects. By quantifying the ecological benefits of different blue–green–grey infrastructure combinations, our research provides theoretical support for optimizing both the ecological and economic value of urban infrastructures. This study could benefit academics, practitioners, and policymakers in urban planning in optimizing the allocation of the blue–green–grey infrastructure.

Suggested Citation

  • Hanxi Chen & Jing Li & Yafei Wang & Zhuobiao Ni & Beicheng Xia, 2023. "Evaluating Trade-Offs in Ecosystem Services for Blue–Green–Grey Infrastructure Planning," Sustainability, MDPI, vol. 16(1), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:203-:d:1307423
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/1/203/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/1/203/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Getzner, Michael & Gutheil-Knopp-Kirchwald, Gerlinde & Kreimer, Elisabeth & Kirchmeir, Hanns & Huber, Michael, 2017. "Gravitational natural hazards: Valuing the protective function of Alpine forests," Forest Policy and Economics, Elsevier, vol. 80(C), pages 150-159.
    2. Wiesemann, Wolfram & Kuhn, Daniel & Rustem, Berç, 2010. "Maximizing the net present value of a project under uncertainty," European Journal of Operational Research, Elsevier, vol. 202(2), pages 356-367, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Magni, Carlo Alberto, 2015. "Investment, financing and the role of ROA and WACC in value creation," European Journal of Operational Research, Elsevier, vol. 244(3), pages 855-866.
    2. Rostami, Salim & Creemers, Stefan & Leus, Roel, 2024. "Maximizing the net present value of a project under uncertainty: Activity delays and dynamic policies," European Journal of Operational Research, Elsevier, vol. 317(1), pages 16-24.
    3. Bruni, Maria Elena & Hazır, Öncü, 2024. "A risk-averse distributionally robust project scheduling model to address payment delays," European Journal of Operational Research, Elsevier, vol. 318(2), pages 398-407.
    4. Lamas, Patricio & Goycoolea, Marcos & Pagnoncelli, Bernardo & Newman, Alexandra, 2024. "A target-time-windows technique for project scheduling under uncertainty," European Journal of Operational Research, Elsevier, vol. 314(2), pages 792-806.
    5. Marchioni, Andrea & Magni, Carlo Alberto, 2018. "Investment decisions and sensitivity analysis: NPV-consistency of rates of return," European Journal of Operational Research, Elsevier, vol. 268(1), pages 361-372.
    6. Caiubi Emanuel Souza Kuhn & Fábio Augusto Gomes Vieira Reis & Christiane Zarfl & Peter Grathwohl, 2023. "Ravines and gullies, a review about impact valuation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 117(1), pages 597-624, May.
    7. Urbano, Eva M. & Martinez-Viol, Victor & Kampouropoulos, Konstantinos & Romeral, Luis, 2021. "Energy equipment sizing and operation optimisation for prosumer industrial SMEs – A lifetime approach," Applied Energy, Elsevier, vol. 299(C).
    8. Christina N. Burt & Lou Caccetta, 2014. "Equipment Selection for Surface Mining: A Review," Interfaces, INFORMS, vol. 44(2), pages 143-162, April.
    9. Petković, Dalibor & Shamshirband, Shahaboddin & Kamsin, Amirrudin & Lee, Malrey & Anicic, Obrad & Nikolić, Vlastimir, 2016. "Survey of the most influential parameters on the wind farm net present value (NPV) by adaptive neuro-fuzzy approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1270-1278.
    10. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    11. Wenhui Zhao & Nicholas G. Hall & Zhixin Liu, 2020. "Project Evaluation and Selection with Task Failures," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 428-446, February.
    12. Zambrano-Monserrate, Manuel A. & Ruano, María Alejandra & Yoong-Parraga, Cristina & Silva, Carlos A., 2021. "Urban green spaces and housing prices in developing countries: A Two-stage quantile spatial regression analysis," Forest Policy and Economics, Elsevier, vol. 125(C).
    13. Etgar, Ran & Gelbard, Roy & Cohen, Yuval, 2017. "Optimizing version release dates of research and development long-term processes," European Journal of Operational Research, Elsevier, vol. 259(2), pages 642-653.
    14. Trietsch, Dan & Mazmanyan, Lilit & Gevorgyan, Lilit & Baker, Kenneth R., 2012. "Modeling activity times by the Parkinson distribution with a lognormal core: Theory and validation," European Journal of Operational Research, Elsevier, vol. 216(2), pages 386-396.
    15. Christos Floros & Emilios Galariotis & Konstantinos Gkillas & Efstathios Magerakis & Constantin Zopounidis, 2024. "Time-varying firm cash holding and economic policy uncertainty nexus: a quantile regression approach," Annals of Operations Research, Springer, vol. 341(2), pages 859-895, October.
    16. Carlo Alberto Magni, 2015. "ROI and profitability index: A note on managerial performance," Department of Economics 0048, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
    17. Bianchi, Ettore & Accastello, Cristian & Trappmann, Daniel & Blanc, Simone & Brun, Filippo, 2018. "The Economic Evaluation of Forest Protection Service Against Rockfall: A Review of Experiences and Approaches," Ecological Economics, Elsevier, vol. 154(C), pages 409-418.
    18. Yangyang Liang & Nanfang Cui & Tian Wang & Erik Demeulemeester, 2019. "Robust resource-constrained max-NPV project scheduling with stochastic activity duration," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 41(1), pages 219-254, March.
    19. Zixuan Zhang & Michail Chronopoulos & Dimitrina S. Dimitrova & Ioannis Kyriakou, 2024. "Risk assessment and optimal scheduling of serial projects," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(3), pages 709-736, September.
    20. Magni, Carlo Alberto & Veronese, Piero & Graziani, Rebecca, 2017. "Chisini means and rational decision making: Equivalence of investment criteria," MPRA Paper 81532, University Library of Munich, Germany.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2023:i:1:p:203-:d:1307423. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.