IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i5p698-d1395820.html
   My bibliography  Save this article

Research on Post-Use Evaluation of Community Green Space Rectification Based on a Multi-Dimensional Perception System: A Case Study of Jiayuan Sanli Community in Beijing

Author

Listed:
  • Meng Li

    (Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Jian Zhang

    (Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China)

  • Yuchen Wang

    (Communist Youth League, Capital Medical University, Beijing 100069, China)

Abstract

Community green spaces (CGSs) constitute a crucial element of urban land use, playing a pivotal role in maintaining the stability of urban ecosystems and enhancing the overall quality of the urban environment. Through the post-occupancy evaluation (POE) of green spaces, we can gain insights into residents’ actual needs and usage habits, providing scientific evidence for the planning, design, and management of green spaces. This ensures that CGSs better meet residents’ needs and improve their quality of life. The POE of CGSs relies heavily on high-precision data support. However, the current POE system for CGSs faces challenges, such as limited data collection methods, incomplete indicator systems, and excessive manual involvement. To address these limitations in data collection, this study proposes a comprehensive, dynamically monitored, objective, and sustainable POE system for CGSs. This system incorporates a multi-dimensional perception system that integrates the Internet of Things (IoT) and sensors to collect data from various sources. It establishes an evaluation framework from the perspectives of policy guidance and usage needs for CGSs, utilizing neural network systems and artificial intelligence techniques to compute the evaluation results. Using the Jiayuan Sanli Community in Beijing as a case study, this paper demonstrates the feasibility of the proposed system. A comparison between the POE results obtained using the multi-dimensional perception technique and those obtained manually reveals an 87% improvement in the accuracy of the evaluation results based on the multi-dimensional perception system. This system bridges the gap between planning perspectives and user experiences, contributing significantly to future urban land planning and land policy formulation.

Suggested Citation

  • Meng Li & Jian Zhang & Yuchen Wang, 2024. "Research on Post-Use Evaluation of Community Green Space Rectification Based on a Multi-Dimensional Perception System: A Case Study of Jiayuan Sanli Community in Beijing," Land, MDPI, vol. 13(5), pages 1-23, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:698-:d:1395820
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/5/698/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/5/698/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ling Yang & Hsiao-Tung Chang & Jian Li & Xinyue Xu & Zhi Qiu & Xiaomin Jiang, 2023. "A Comprehensive Evaluation of the Friendliness of Urban Facilities for the Elderly in Taipei City and New Taipei City," Sustainability, MDPI, vol. 15(18), pages 1-19, September.
    2. Philip Stessens & Frank Canters & Marijke Huysmans & Ahmed Z. Khan, 2020. "Urban green space qualities: An integrated approach towards GIS-based assessment reflecting user perception," ULB Institutional Repository 2013/298795, ULB -- Universite Libre de Bruxelles.
    3. Stessens, Philip & Canters, Frank & Huysmans, Marijke & Khan, Ahmed Z., 2020. "Urban green space qualities: An integrated approach towards GIS-based assessment reflecting user perception," Land Use Policy, Elsevier, vol. 91(C).
    4. Tang, Zi, 2015. "An integrated approach to evaluating the coupling coordination between tourism and the environment," Tourism Management, Elsevier, vol. 46(C), pages 11-19.
    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. Bohong Zheng & Rui Guo & Komi Bernard Bedra & Yanfen Xiang, 2022. "Quantitative Evaluation of Urban Style at Street Level: A Case Study of Hengyang County, China," Land, MDPI, vol. 11(4), pages 1-28, March.
    2. Jaloliddin Rustamov & Zahiriddin Rustamov & Nazar Zaki, 2023. "Green Space Quality Analysis Using Machine Learning Approaches," Sustainability, MDPI, vol. 15(10), pages 1-25, May.
    3. Amy Phillips & Dimitra Plastara & Ahmed Z. Khan & Frank Canters, 2023. "Integrating public perceptions of proximity and quality in the modelling of urban green space access," ULB Institutional Repository 2013/371425, ULB -- Universite Libre de Bruxelles.
    4. Amy Phillips & Ahmed Z. Khan & Frank Canters, 2021. "Use-Related and Socio-Demographic Variations in Urban Green Space Preferences," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    5. Amy Phillips & Ahmed Z. Khan & Frank Canters, 2021. "Use-related and socio-demographic variations in urban green space preferences," ULB Institutional Repository 2013/326192, ULB -- Universite Libre de Bruxelles.
    6. Liu, Hongxiao & Hamel, Perrine & Tardieu, Léa & Remme, Roy P. & Han, Baolong & Ren, Hai, 2022. "A geospatial model of nature-based recreation for urban planning: Case study of Paris, France," Land Use Policy, Elsevier, vol. 117(C).
    7. Yuanyuan Chen & Xinli Ke & Min Min & Yue Zhang & Yaqiang Dai & Lanping Tang, 2022. "Do We Need More Urban Green Space to Alleviate PM 2.5 Pollution? A Case Study in Wuhan, China," Land, MDPI, vol. 11(6), pages 1-16, May.
    8. Selda İnançoğlu & Havva Arslangazi Uzunahmet & Özge Özden, 2023. "The Effect of Green Spaces on User Satisfaction in Historical City of Nicosia," Sustainability, MDPI, vol. 15(16), pages 1-18, August.
    9. Małgorzata Sztubecka & Alicja Maciejko & Marta Skiba, 2022. "The Landscape of the Spa Parks Creation through Components Influencing Environmental Perception Using Multi-Criteria Analysis," Sustainability, MDPI, vol. 14(9), pages 1-17, May.
    10. Xueting Pan & Jialing Zhao, 2025. "Coupling Coordination Analysis and Spatiotemporal Heterogeneity Between Green Space Quality and Economic Development: A Case Study of the Yangtze River Delta in China," Sustainability, MDPI, vol. 17(5), pages 1-24, February.
    11. Wei XIAOHUI & Nurhayati Abdul MALEK & Salina MOHAMED ALI, 2024. "The Impact Of Sustainable Development Goals On Urban Green Space: A Bibliometric Analysis Of The Literature," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 19(3), pages 31-48, August.
    12. Emilio Ramírez-Juidías & José-Lázaro Amaro-Mellado & Jorge Luis Leiva-Piedra, 2022. "Influence of the Urban Green Spaces of Seville (Spain) on Housing Prices through the Hedonic Assessment Methodology and Geospatial Analysis," Sustainability, MDPI, vol. 14(24), pages 1-15, December.
    13. Talib Hussain & Dake Wang & Benqian Li, 2024. "Stakeholder Perspectives on the Role of Social Media in Urban Green Space, Land Management, and Resilience in Gilgit-Baltistan," Land, MDPI, vol. 13(7), pages 1-28, June.
    14. Kourtit, Karima & Nijkamp, Peter & Türk, Umut & Wahlstrom, Mia, 2022. "City love and place quality assessment of liveable and loveable neighbourhoods in Rotterdam," Land Use Policy, Elsevier, vol. 119(C).
    15. Yiyang Guo & Guoping Lei & Luyang Zhang, 2023. "Quality Evaluation of Park Green Space Based on Multi-Source Spatial Data in Shenyang," Sustainability, MDPI, vol. 15(11), pages 1-15, June.
    16. Zhiming Li & Xiyang Chen & Zhou Shen & Zhengxi Fan, 2022. "Evaluating Neighborhood Green-Space Quality Using a Building Blue–Green Index (BBGI) in Nanjing, China," Land, MDPI, vol. 11(3), pages 1-18, March.
    17. Shuhui Yu & Xin Guan & Junfan Zhu & Zeyu Wang & Youting Jian & Weijia Wang & Ya Yang, 2023. "Artificial Intelligence and Urban Green Space Facilities Optimization Using the LSTM Model: Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-14, June.
    18. Mouratidis, Kostas & Yiannakou, Athena, 2022. "What makes cities livable? Determinants of neighborhood satisfaction and neighborhood happiness in different contexts," Land Use Policy, Elsevier, vol. 112(C).
    19. Argyro Anna Kanelli & Maria Lydia Vardaka & Chrisovaladis Malesios & Zainab Jamidu Katima & Olga-Ioanna Kalantzi, 2024. "Can Campus Green Spaces Be Restorative? A Case Study from Tanzania," Sustainability, MDPI, vol. 16(3), pages 1-21, January.
    20. Jun Zhang & Jinghua Jin & Yimeng Liang, 2024. "The Impact of Green Space on University Students’ Mental Health: The Mediating Roles of Solitude Competence and Perceptual Restoration," Sustainability, MDPI, vol. 16(2), pages 1-28, January.

    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:13:y:2024:i:5:p:698-:d:1395820. 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.