IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i7p2788-d1617037.html
   My bibliography  Save this article

Suitability Evaluation of Underground Space Development by Considering Socio-Economic Factors—An Empirical Study from Longgang Region of China

Author

Listed:
  • Wenrong Ye

    (The Eleventh Geological Brigade of Zhejiang Province, Wenzhou 325006, China
    Wenzhou Key Laboratory of Geological Resources and Ecological Environment, Wenzhou 325006, China)

  • Ji Huang

    (The Eleventh Geological Brigade of Zhejiang Province, Wenzhou 325006, China
    Wenzhou Key Laboratory of Geological Resources and Ecological Environment, Wenzhou 325006, China)

  • Pengfei Xu

    (The Eleventh Geological Brigade of Zhejiang Province, Wenzhou 325006, China
    Wenzhou Key Laboratory of Geological Resources and Ecological Environment, Wenzhou 325006, China)

  • Jing Yuan

    (The Eleventh Geological Brigade of Zhejiang Province, Wenzhou 325006, China
    Wenzhou Key Laboratory of Geological Resources and Ecological Environment, Wenzhou 325006, China)

  • Li Zeng

    (The Eleventh Geological Brigade of Zhejiang Province, Wenzhou 325006, China
    Wenzhou Key Laboratory of Geological Resources and Ecological Environment, Wenzhou 325006, China)

  • Yuzhi Zhang

    (The Eleventh Geological Brigade of Zhejiang Province, Wenzhou 325006, China
    Wenzhou Key Laboratory of Geological Resources and Ecological Environment, Wenzhou 325006, China)

  • Yiming Wang

    (College of Architectural Engineering, Wenzhou University, Wenzhou 325035, China)

  • Shaokai Wang

    (The Eleventh Geological Brigade of Zhejiang Province, Wenzhou 325006, China
    Wenzhou Key Laboratory of Geological Resources and Ecological Environment, Wenzhou 325006, China)

  • Xiongchao Xu

    (The Eleventh Geological Brigade of Zhejiang Province, Wenzhou 325006, China
    Wenzhou Key Laboratory of Geological Resources and Ecological Environment, Wenzhou 325006, China)

  • Zizheng Guo

    (School of Civil and Transportation Engineering, Hebei University of Technology, Tianjin 300401, China)

  • Yuhua Zhang

    (The Bartlett Centre for Advanced Spatial Analysis, Faculty of the Built Environment, University College London (UCL), London W1T4TJ, UK)

Abstract

Underground space is considered a critical urban resource that can significantly promote sustainable development under rational planning. This study, taking the Longgang region in SE China as an example, comprehensively considers the dual influences of geological environmental factors and socio-economic factors, incorporating socio-economic factors as key cost indicators. Following the principle of “stratification and classification”, a detailed assessment framework was developed to evaluate the suitability of underground space for development across various depths, and a systematic analysis of development suitability was conducted. Specifically, we employed a fuzzy comprehensive evaluation method to assess the suitability of underground space. During this process, an analytic hierarchy process (AHP) was used to determine the weights of geological environmental indicators, and the group judgment matrix approach was applied to assign weights to the socio-economic factors. The results indicated that, for shallow spaces, areas with high resource potential accounted for approximately 10.0% of the region, while areas with relatively high resource potential accounted for 28.5%. For medium-depth spaces, areas with high resource potential comprised 19.9% of the region, and areas with relatively high resource potential accounted for about 35.1%. These findings suggest that the study area demonstrated promising prospects for the development and utilization of underground space. The proposed approaches ensured that the evaluation results were both scientific and reasonable. By integrating the impact of socio-economic factors into suitability evaluation, the outputs provided more scientifically grounded guidance for urban planning.

Suggested Citation

  • Wenrong Ye & Ji Huang & Pengfei Xu & Jing Yuan & Li Zeng & Yuzhi Zhang & Yiming Wang & Shaokai Wang & Xiongchao Xu & Zizheng Guo & Yuhua Zhang, 2025. "Suitability Evaluation of Underground Space Development by Considering Socio-Economic Factors—An Empirical Study from Longgang Region of China," Sustainability, MDPI, vol. 17(7), pages 1-28, March.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2788-:d:1617037
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/7/2788/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/7/2788/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chan, Felix T.S. & Kumar, Niraj, 2007. "Global supplier development considering risk factors using fuzzy extended AHP-based approach," Omega, Elsevier, vol. 35(4), pages 417-431, August.
    2. Vaidya, Omkarprasad S. & Kumar, Sushil, 2006. "Analytic hierarchy process: An overview of applications," European Journal of Operational Research, Elsevier, vol. 169(1), pages 1-29, February.
    3. Qiao, Yong-Kang & Peng, Fang-Le & Wang, Yang, 2017. "Monetary valuation of urban underground space: A critical issue for the decision-making of urban underground space development," Land Use Policy, Elsevier, vol. 69(C), pages 12-24.
    4. Zhaoliang Peng & Yu Zhang & Fei Tan & Jiahe Lv & Lianghui Li, 2023. "Variable-Weight Suitability Evaluation of Underground Space Development Considering Socioeconomic Factors," Sustainability, MDPI, vol. 15(4), pages 1-20, February.
    5. Xinyi Zhou & Yong Hu & Yong Deng & Felix T. S. Chan & Alessio Ishizaka, 2018. "A DEMATEL-based completion method for incomplete pairwise comparison matrix in AHP," Annals of Operations Research, Springer, vol. 271(2), pages 1045-1066, December.
    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. Wang, Ying-Ming & Luo, Ying & Hua, Zhongsheng, 2008. "On the extent analysis method for fuzzy AHP and its applications," European Journal of Operational Research, Elsevier, vol. 186(2), pages 735-747, April.
    2. Brandenburg, Marcus, 2017. "A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects," Omega, Elsevier, vol. 70(C), pages 58-76.
    3. Shubham Gupta & Raghav Khanna & Pranay Kohli & Sarthak Agnihotri & Umang Soni & M. Asjad, 2023. "Risk evaluation of electric vehicle charging infrastructure using Fuzzy AHP – a case study in India," Operations Management Research, Springer, vol. 16(1), pages 245-258, March.
    4. Ágoston, Kolos Csaba & Csató, László, 2024. "A lexicographically optimal completion for pairwise comparison matrices with missing entries," European Journal of Operational Research, Elsevier, vol. 314(3), pages 1078-1086.
    5. Jochen Wulf, 2020. "Development of an AHP hierarchy for managing omnichannel capabilities: a design science research approach," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 39-68, April.
    6. Nina Almasifar & Tülay Özdemir Canbolat & Milad Akhavan & Roberto Alonso González-Lezcano, 2021. "Proposing a New Methodology for Monument Conservation “SCOPE MANAGEMENT” by the Use of an Analytic Hierarchy Process Project Management Institute System and the ICOMOS Burra Charter," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    7. Jitendar Kumar Khatri & Bhimaraya Metri, 2016. "SWOT-AHP Approach for Sustainable Manufacturing Strategy Selection: A Case of Indian SME," Global Business Review, International Management Institute, vol. 17(5), pages 1211-1226, October.
    8. Cheng-Wen Lee & Mao-Wen Fu, 2025. "Bridging the Gap: Challenges and Strategies for Corporate Energy Conservation and Carbon Reduction," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 15(1), pages 1-10.
    9. Hai-Min Lyu & Ye-Shuang Xu & Wen-Chieh Cheng & Arul Arulrajah, 2018. "Flooding Hazards across Southern China and Prospective Sustainability Measures," Sustainability, MDPI, vol. 10(5), pages 1-18, May.
    10. Sushil, 2019. "Efficient interpretive ranking process incorporating implicit and transitive dominance relationships," Annals of Operations Research, Springer, vol. 283(1), pages 1489-1516, December.
    11. Wang, Ying-Ming & Elhag, Taha M.S., 2007. "A goal programming method for obtaining interval weights from an interval comparison matrix," European Journal of Operational Research, Elsevier, vol. 177(1), pages 458-471, February.
    12. Madjid Tavana & Mariya Sodenkamp & Leena Suhl, 2010. "A soft multi-criteria decision analysis model with application to the European Union enlargement," Annals of Operations Research, Springer, vol. 181(1), pages 393-421, December.
    13. Lim, Chulmin & Rowsell, Joe & Kim, Seongcheol, 2023. "Exploring the killer domains to create new value: A Comparative case study of Canadian and Korean telcos," 32nd European Regional ITS Conference, Madrid 2023: Realising the digital decade in the European Union – Easier said than done? 277998, International Telecommunications Society (ITS).
    14. Ho, William, 2008. "Integrated analytic hierarchy process and its applications - A literature review," European Journal of Operational Research, Elsevier, vol. 186(1), pages 211-228, April.
    15. Ouyang, Yao & Pedrycz, Witold, 2016. "A new model for intuitionistic fuzzy multi-attributes decision making," European Journal of Operational Research, Elsevier, vol. 249(2), pages 677-682.
    16. Lupo, Toni, 2015. "Fuzzy ServPerf model combined with ELECTRE III to comparatively evaluate service quality of international airports in Sicily," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 249-259.
    17. Chao Liu & Qichen Liao & Wenyan Gao & Shuxian Li & Peng Jiang & Ding Li, 2024. "Intellectual Capital Evaluation Index Based on a Hybrid Multi-Criteria Decision-Making Technique," Mathematics, MDPI, vol. 12(9), pages 1-29, April.
    18. Wenshuai Wu & Gang Kou, 2016. "A group consensus model for evaluating real estate investment alternatives," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-10, December.
    19. Karasakal, Esra & Aker, Pınar, 2017. "A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem," Omega, Elsevier, vol. 73(C), pages 79-92.
    20. Lucie Lidinska & Josef Jablonsky, 2018. "AHP model for performance evaluation of employees in a Czech management consulting company," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 26(1), pages 239-258, March.

    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:17:y:2025:i:7:p:2788-:d:1617037. 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.