IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i8p1197-d1449696.html
   My bibliography  Save this article

Quantifying Residents’ Perceptions of Smart Community Construction through a Hybrid EWM-PROMETHEE II Method: A Case Study of Shenzhen, China

Author

Listed:
  • Tiantian Gu

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Yongchao Wang

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Li Wang

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Enyang Hao

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Chenyang Wang

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

  • Muhan Xie

    (School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

Smart community construction (SCC) is pivotal for urban modernization, yet extant research often neglects the residents’ perceptions of these initiatives, focusing predominantly on technological advancements. A hybrid evaluation method integrating the Entropy Weight Method (EWM) and PROMETHEE II was developed to quantify residents’ perceptions of SCC. Through the literature review and expert interview, the evaluation indicators for residents’ perceptions of the SCC were identified, leading to the development of an evaluation indicator system consisting of 5 dimensions and 25 indicators. The hybrid evaluation method that combines EWM and PROMETHEE II was then applied to quantify the level of residents’ perceptions of SCC across five communities in Shenzhen city of China, using data from 410 valid questionnaires. The results indicated that the Baolong community had the highest level of the SCC, while the Nanyuan community exhibited the lowest ranking. Sensitivity analysis confirmed the robustness of these results, thereby validating the evaluation process. Moreover, recommendations were proposed to enhance residents’ perceptions of smart community initiatives. This research not only introduces a novel evaluation method that expands the body of knowledge on the SCC and residents’ perceptions but also helps the government develop sustainable SCC strategies.

Suggested Citation

  • Tiantian Gu & Yongchao Wang & Li Wang & Enyang Hao & Chenyang Wang & Muhan Xie, 2024. "Quantifying Residents’ Perceptions of Smart Community Construction through a Hybrid EWM-PROMETHEE II Method: A Case Study of Shenzhen, China," Land, MDPI, vol. 13(8), pages 1-19, August.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:8:p:1197-:d:1449696
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/8/1197/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/8/1197/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Maria Vincenza Ciasullo & Orlando Troisi & Mara Grimaldi & Daniele Leone, 2020. "Multi-level governance for sustainable innovation in smart communities: an ecosystems approach," International Entrepreneurship and Management Journal, Springer, vol. 16(4), pages 1167-1195, December.
    2. Yu Han & Woon Kian Chong & Dong Li, 2020. "A systematic literature review of the capabilities and performance metrics of supply chain resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 58(15), pages 4541-4566, July.
    3. Ponce, Pedro & Polasko, Kenneth & Molina, Arturo, 2016. "End user perceptions toward smart grid technology: Acceptance, adoption, risks, and trust," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 587-598.
    4. Ningzhi Li & Lilan Su, 2023. "Construction of Community Grid Unit Assessment System from the Perspective of Refined Governance," Sustainability, MDPI, vol. 15(13), pages 1-18, June.
    5. Yi Feng & Shaoze Cui, 2021. "A review of emergency response in disasters: present and future perspectives," 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. 105(1), pages 1109-1138, January.
    6. Jovanovic, Marin & Sjödin, David & Parida, Vinit, 2022. "Co-evolution of platform architecture, platform services, and platform governance: Expanding the platform value of industrial digital platforms," Technovation, Elsevier, vol. 118(C).
    7. Tong Zou & Yikun Su & Yaowu Wang, 2018. "Research on the Hybrid ANP-FCE Approach of Urban Community Sustainable Construction Problem," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-10, July.
    8. Fang Dong & Jiyao Yin & Jirubin Xiang & Zhangyu Chang & Tiantian Gu & Feihu Han, 2023. "EWM-FCE-ODM-Based Evaluation of Smart Community Construction: From the Perspective of Residents’ Sense of Gain," Sustainability, MDPI, vol. 15(8), pages 1-21, 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. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.
    2. Antoine Boche & Clément Foucher & Luiz Fernando Lavado Villa, 2022. "Understanding Microgrid Sustainability: A Systemic and Comprehensive Review," Energies, MDPI, vol. 15(8), pages 1-29, April.
    3. Hafize Nurgul Durmus Senyapar & Ramazan Bayindir, 2023. "The Research Agenda on Smart Grids: Foresights for Social Acceptance," Energies, MDPI, vol. 16(18), pages 1-31, September.
    4. Xi, Mengjie & Liu, Yang & Fang, Wei & Feng, Taiwen, 2024. "Intelligent manufacturing for strengthening operational resilience during the COVID-19 pandemic: A dynamic capability theory perspective," International Journal of Production Economics, Elsevier, vol. 267(C).
    5. Malte Jütting, 2020. "Exploring Mission-Oriented Innovation Ecosystems for Sustainability: Towards a Literature-Based Typology," Sustainability, MDPI, vol. 12(16), pages 1-28, August.
    6. Manu Sharma & Deepak Kaushal & Sudhanshu Joshi, 2023. "Strategic measures for enhancing resiliency in knowledge base supply chains: an emerging economy perspective," Operations Management Research, Springer, vol. 16(3), pages 1185-1205, September.
    7. Huizhu Wang & Jianqin Zhou & Ling Zhou, 2024. "A Lattice Boltzmann Method-like Algorithm for the Maximal Covering Location Problem on the Complex Network: Application to Location of Railway Emergency-Rescue Spot," Mathematics, MDPI, vol. 12(2), pages 1-20, January.
    8. Fang Dong & Jiyao Yin & Jirubin Xiang & Zhangyu Chang & Tiantian Gu & Feihu Han, 2023. "EWM-FCE-ODM-Based Evaluation of Smart Community Construction: From the Perspective of Residents’ Sense of Gain," Sustainability, MDPI, vol. 15(8), pages 1-21, April.
    9. Petra Mesarić & Damira Đukec & Slavko Krajcar, 2017. "Exploring the Potential of Energy Consumers in Smart Grid Using Focus Group Methodology," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    10. Rubio, Francisco & Llopis-Albert, Carlos & Besa, Antonio José, 2023. "Optimal allocation of energy sources in hydrogen production for sustainable deployment of electric vehicles," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    11. Yi Liu & Tiantian Gu & Lingzhi Li & Peng Cui & Yan Liu, 2023. "Measuring the Urban Resilience Abased on Geographically Weighted Regression (GWR) Model in the Post-Pandemic Era: A Case Study of Jiangsu Province, China," Land, MDPI, vol. 12(7), pages 1-19, July.
    12. Iftikhar, Anas & Purvis, Laura & Giannoccaro, Ilaria, 2021. "A meta-analytical review of antecedents and outcomes of firm resilience," Journal of Business Research, Elsevier, vol. 135(C), pages 408-425.
    13. Zeng, Shouzhen & Hu, Yingjie & Llopis-Albert, Carlos, 2023. "Stakeholder-inclusive multi-criteria development of smart cities," Journal of Business Research, Elsevier, vol. 154(C).
    14. Doris A. Behrens & Marion S. Rauner & Margit Sommersguter-Reichmann, 2022. "Why Resilience in Health Care Systems is More than Coping with Disasters: Implications for Health Care Policy," Schmalenbach Journal of Business Research, Springer, vol. 74(4), pages 465-495, December.
    15. Erik Hartigh & Claire C.M. Stolwijk & J. Roland Ortt & L. Matthijs Punter, 2023. "Configurations of digital platforms for manufacturing: An analysis of seven cases according to platform functions and types," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    16. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Kumar, Ajay & Aránega, Alba Yela & Biswas, Baidyanath, 2023. "Development of an integrative model for electronic vendor relationship management for improving technological innovation, social change and sustainability performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    17. Anna Trunk & Hendrik Birkel, 2022. "No Resilience Without Partners: A Case Study on German Small and Medium-Sized Enterprises in the Context of COVID-19," Schmalenbach Journal of Business Research, Springer, vol. 74(4), pages 537-574, December.
    18. Ellabban, Omar & Abu-Rub, Haitham, 2016. "Smart grid customers' acceptance and engagement: An overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 1285-1298.
    19. Chih-Hung Hsu & An-Yuan Chang & Ting-Yi Zhang & Wei-Da Lin & Wan-Ling Liu, 2021. "Deploying Resilience Enablers to Mitigate Risks in Sustainable Fashion Supply Chains," Sustainability, MDPI, vol. 13(5), pages 1-24, March.
    20. Feng Wu & Yue Tang & Chaoran Lin & Yanwei Zhang & Wanqiang Xu, 2022. "Knowledge Trajectories Detection and Prediction of Modern Emergency Management in China Based on Topic Mining from Massive Literature Text," Sustainability, MDPI, vol. 14(24), pages 1-19, December.

    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:8:p:1197-:d:1449696. 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.