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Quantifying Sustainability and Landscape Performance: A Smart Devices Assisted Alternative Framework

Author

Listed:
  • Zhongzhe Shen

    (School of Architecture and Design, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA)

  • Xingjian Peng

    (School of Business, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA)

  • Chenlong Du

    (School of Business, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA)

  • Mintai Kim

    (School of Architecture and Design, Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA)

Abstract

This research investigates gaps in current methods and tools in landscape performance research and presents a smart device-assisted alternative framework for performance assessment. Against the background of increasing attention to sustainability, landscape performance has emerged as a novel research focus on sustainability, with the objective of precisely quantifying sustainable performance. However, certain shortcomings persist within this field. This research conducts a comprehensive review of pertinent literature and analyzes deeply the performance metrics and case studies cataloged by the Landscape Performance Series (LPS). Additionally, an examination of quantitative tools is undertaken by surveys. The study finds several issues in current landscape performance research: imbalance development, inconsistent methods, one-time measurement, insufficient tools, and inaccurate and unreliable quantified results. Based on the advantages of smart devices in gathering sustainable data and previous research results, this research presents an alternate framework for conducting landscape performance research, which incorporates smart devices. In addition, it presents a set of recommendations for advancing research on landscape performance. This study could contribute to improving the diversity and accuracy of landscape performance quantification and contribute to future performance research. It assists in the refinement of landscape performance research and the achievement of sustainable development goals.

Suggested Citation

  • Zhongzhe Shen & Xingjian Peng & Chenlong Du & Mintai Kim, 2023. "Quantifying Sustainability and Landscape Performance: A Smart Devices Assisted Alternative Framework," Sustainability, MDPI, vol. 15(17), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13239-:d:1232440
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    References listed on IDEAS

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    1. Shafique, Muhammad & Kim, Reeho & Rafiq, Muhammad, 2018. "Green roof benefits, opportunities and challenges – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 757-773.
    2. Anna Jorgensen, 2014. "Editorial: Looking Backwards, Looking Forwards," Landscape Research, Taylor & Francis Journals, vol. 39(1), pages 1-6, February.
    3. Elie Hanna & Francisco A. Comín, 2021. "Urban Green Infrastructure and Sustainable Development: A Review," Sustainability, MDPI, vol. 13(20), pages 1-15, October.
    4. Theano S. Terkenli & Aikaterini Gkoltsiou & Dimitris Kavroudakis, 2021. "The Interplay of Objectivity and Subjectivity in Landscape Character Assessment: Qualitative and Quantitative Approaches and Challenges," Land, MDPI, vol. 10(1), pages 1-19, January.
    5. Schieweck, Alexandra & Uhde, Erik & Salthammer, Tunga & Salthammer, Lea C. & Morawska, Lidia & Mazaheri, Mandana & Kumar, Prashant, 2018. "Smart homes and the control of indoor air quality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 705-718.
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    Cited by:

    1. Xiao Han & Zhe Li & Haini Chen & Mengyao Yu & Yi Shi, 2025. "Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations," Land, MDPI, vol. 14(3), pages 1-22, March.

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