IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i3p350-d759943.html
   My bibliography  Save this article

Interweaving Computational and Tacit Knowledge to Design Nature-Based Play Networks in Underserved Communities

Author

Listed:
  • Yiru Zhang

    (Department of Landscape Architecture, The Pennsylvania State University, University Park, State College, PA 16802, USA)

  • Ken Tamminga

    (Department of Landscape Architecture, The Pennsylvania State University, University Park, State College, PA 16802, USA)

  • Hong Wu

    (Department of Landscape Architecture, The Pennsylvania State University, University Park, State College, PA 16802, USA)

Abstract

Children are often the most disadvantaged cohort during miserable situations of natural disaster, economic crisis, and environmental degradation. Meanwhile, children’s play is increasingly controlled, costly, and standardized with engineered structures and surfaces rather than infused with natural processes and organic materials. Access to nature-based playscapes in underserved neighborhoods is extremely limited, impacted by disparities of race, class, and gender. In these contexts, neglected vacant lots and streets and related interstitial spaces can be redesigned as playscapes that support active, engaged, meaningful, and socially interactive play. Our study addresses the ample opportunity to re-engage kids and city nature in underserved neighborhoods in Philadelphia and Pennsylvania. Methodologically, we balance systemic GIS spatial data approaches with informal and experiential—or tacit—site-based analyses. This mixed-methods approach helps identify local patterns of insecurity, children’s circulation, and natural resource possibilities. Finally, a play network with eight playscape themes is revealed as an emergent pattern that we termed green play infrastructure . These themes provide examples of activities and opportunities for future programs that fit their surrounding context. The mixed-methods approach fills a gap in children’s play literature and illustrates how green play infrastructure can serve as a key strategy in improving children’s lives in disadvantaged neighborhoods.

Suggested Citation

  • Yiru Zhang & Ken Tamminga & Hong Wu, 2022. "Interweaving Computational and Tacit Knowledge to Design Nature-Based Play Networks in Underserved Communities," Land, MDPI, vol. 11(3), pages 1-18, February.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:3:p:350-:d:759943
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/3/350/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/3/350/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sánchez-Lozano, J.M. & García-Cascales, M.S. & Lamata, M.T., 2016. "GIS-based onshore wind farm site selection using Fuzzy Multi-Criteria Decision Making methods. Evaluating the case of Southeastern Spain," Applied Energy, Elsevier, vol. 171(C), pages 86-102.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Nazmul Haque, Md. & Sharifi, Ayyoob, 2024. "Justice in access to urban ecosystem services: A critical review of the literature," Ecosystem Services, Elsevier, vol. 67(C).
    2. Haque, Md. Nazmul & Sharifi, Ayyoob, 2024. "Who are marginalized in accessing urban ecosystem services? A systematic literature review," Land Use Policy, Elsevier, vol. 144(C).

    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. Andrés Ruiz & Florin Onea & Eugen Rusu, 2020. "Study Concerning the Expected Dynamics of the Wind Energy Resources in the Iberian Nearshore," Energies, MDPI, vol. 13(18), pages 1-25, September.
    2. Styliani Karamountzou & Dimitra G. Vagiona, 2023. "Suitability and Sustainability Assessment of Existing Onshore Wind Farms in Greece," Sustainability, MDPI, vol. 15(3), pages 1-21, January.
    3. Wu, Zhaoyuan & Zhou, Ming & Zhang, Ting & Li, Gengyin & Zhang, Yan & Liu, Xiaojuan, 2020. "Imbalance settlement evaluation for China's balancing market design via an agent-based model with a multiple criteria decision analysis method," Energy Policy, Elsevier, vol. 139(C).
    4. Geovanna Villacreses & Diego Jijón & Juan Francisco Nicolalde & Javier Martínez-Gómez & Franz Betancourt, 2022. "Multicriteria Decision Analysis of Suitable Location for Wind and Photovoltaic Power Plants on the Galápagos Islands," Energies, MDPI, vol. 16(1), pages 1-23, December.
    5. Paweł Ziemba, 2019. "Inter-Criteria Dependencies-Based Decision Support in the Sustainable wind Energy Management," Energies, MDPI, vol. 12(4), pages 1-29, February.
    6. Cebi, Selcuk & Ilbahar, Esra & Atasoy, Aylin, 2016. "A fuzzy information axiom based method to determine the optimal location for a biomass power plant: A case study in Aegean Region of Turkey," Energy, Elsevier, vol. 116(P1), pages 894-907.
    7. Shao, Meng & Zhao, Yuanxu & Sun, Jinwei & Han, Zhixin & Shao, Zhuxiao, 2023. "A decision framework for tidal current power plant site selection based on GIS-MCDM: A case study in China," Energy, Elsevier, vol. 262(PB).
    8. Dimitris Ioannidis & Dimitra G. Vagiona, 2024. "Optimal Wind Farm Siting Using a Fuzzy Analytic Hierarchy Process: Evaluating the Island of Andros, Greece," Sustainability, MDPI, vol. 16(10), pages 1-25, May.
    9. Yildiz, S.S., 2024. "Spatial multi-criteria decision making approach for wind farm site selection: A case study in Balıkesir, Turkey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 192(C).
    10. Salvador García-Ayllón, 2018. "GIS Assessment of Mass Tourism Anthropization in Sensitive Coastal Environments: Application to a Case Study in the Mar Menor Area," Sustainability, MDPI, vol. 10(5), pages 1-17, April.
    11. Manolan Kandy, D. & Mörtberg, U. & Wretling, V. & Kuhlefelt, A. & Byström, G. & Polatidis, H. & Barney, A. & Balfors, B., 2024. "Spatial multicriteria framework for sustainable wind-farm planning – Accounting for conflicts," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
    12. Elkadeem, M.R. & Younes, Ali & Sharshir, Swellam W. & Campana, Pietro Elia & Wang, Shaorong, 2021. "Sustainable siting and design optimization of hybrid renewable energy system: A geospatial multi-criteria analysis," Applied Energy, Elsevier, vol. 295(C).
    13. Zhao, Chengwei & Xu, Xuanhua & Liu, Ruihuan & He, Jishan, 2021. "A multi-aspect coordination HDRED site selection framework under multi-type heterogeneous environments," Renewable Energy, Elsevier, vol. 171(C), pages 833-848.
    14. Chaouachi, Aymen & Covrig, Catalin Felix & Ardelean, Mircea, 2017. "Multi-criteria selection of offshore wind farms: Case study for the Baltic States," Energy Policy, Elsevier, vol. 103(C), pages 179-192.
    15. Haoran Zhao & Huiru Zhao & Sen Guo, 2018. "Comprehensive Performance Evaluation of Electricity Grid Corporations Employing a Novel MCDM Model," Sustainability, MDPI, vol. 10(7), pages 1-23, June.
    16. Lehmann, Paul & Ammermann, Kathrin & Gawel, Erik & Geiger, Charlotte & Hauck, Jennifer & Heilmann, Jörg & Meier, Jan-Niklas & Ponitka, Jens & Schicketanz, Sven & Stemmer, Boris & Tafarte, Philip & Thr, 2021. "Managing spatial sustainability trade-offs: The case of wind power," Ecological Economics, Elsevier, vol. 185(C).
    17. Sassi Rekik & Imed Khabbouchi & Souheil El Alimi, 2025. "A Spatial Analysis for Optimal Wind Site Selection from a Sustainable Supply-Chain-Management Perspective," Sustainability, MDPI, vol. 17(4), pages 1-30, February.
    18. Lindberg, O. & Birging, A. & Widén, J. & Lingfors, D., 2021. "PV park site selection for utility-scale solar guides combining GIS and power flow analysis: A case study on a Swedish municipality," Applied Energy, Elsevier, vol. 282(PA).
    19. Lehmann, Paul & Reutter, Felix & Tafarte, Philip, 2023. "Optimal siting of onshore wind turbines: Local disamenities matter," Resource and Energy Economics, Elsevier, vol. 74(C).
    20. Huo, Zhishuo & Zhang, Juntao & Cheng, Chuntian & Cao, Hui & Yang, Yuqi, 2025. "A synergistic model framework for identifying variable renewable energy integration capacity and deployment sites for hydro-wind-PV integrated energy bases," Energy, Elsevier, vol. 314(C).

    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:jlands:v:11:y:2022:i:3:p:350-:d:759943. 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.