Skip to main navigation menu Skip to main content Skip to site footer

Research Article

Vol. 1 No. 3 (2025): International Journal of Multidisciplinary Research

Digital Management of China's Mu Smart Urban Greening and Sponge City Construction: Digital Management of China's Municipal Infrastructure and Challenges: Smart Urban Greening and Sponge City Construction

DOI
https://doi.org/10.65231/ijmr.v1i3.81
Submitted
December 9, 2025
Published
2025-12-30

Abstract

In recent years, the rapid advancement of urbanization in China has placed unprecedented pressure on urban infrastructure management. Digital tools and innovative technologies, including smart city management, the "City Brain," artificial intelligence (AI), and sponge city construction—have provided new opportunities to address these complex challenges. However, the practical implementation of smart urban greening and sponge city initiatives requires not only technological innovation but also a balance among policy coordination, resource optimization, and sustainability goals. This paper analyzes the theoretical foundations, technical requirements, spatial dimensions, current achievements, and challenges of digital municipal management, using the smart urban greening system of Hangzhou's City Brain and Shenzhen's sponge city construction as case studies. It also explores potential directions for future improvement and development.

References

  1. Torresani M, Kleijn D, De Vries J P R, et al. A novel approach for surveying flowers as a proxy for bee pollinators using drone Images [J]. Ecological Indicators, 2023, 149: 110123.
  2. Tang Y, Fu H, Xu B. Advanced design of triboelectric nanogenerators for future Eco-smart Cities [J]. Advanced Composites and Hybrid Materials, 2024, 7(3).
  3. Lu Y, Huang M, Xiao H, et al. Keyword Analysis and Systematic Review of China’s Sponge City Policy and Flood Management Research [J]. Atmosphere, 2025, 16(9): 1090.
  4. Qi Y, Shun Chan F K, Griffiths J, et al. Sponge City Program (SCP) and Urban Flood Management (UFM)—The Case of Guiyang, SW China [J]. Water, 2021, 13(19): 2784.
  5. Krasilnikova P, Lapshina S. Digitalization of Citizen Participation in Urban Development Management [J]. SHS Web of Conferences, 2021, 93: 05013.
  6. Hatuka T, Toch E, Birnhack M D, et al. The Digital City: Critical Dimensions in Implementing the Smart City [J]. SSRN Electronic Journal, 2020
  7. Zhang, T. (2025). A Neuro-Symbolic and Blockchain-Enhanced Multi-Agent Framework for Fair and Consistent Cross-Regulatory Audit Intelligence.
  8. Li, B. (2025). GIS-Integrated Semi-Supervised U-Net for Automated Spatiotemporal Detection and Visualization of Land Encroachment in Protected Areas Using Remote Sensing Imagery.
  9. Guo, X., & Gu, Y. (2025). Research On The Complementarity Between Economic Activities And Teaching Activities In Educational Institutions. International Journal of Multidisciplinary Research, 1(2), 56-62.
  10. Gu, Y., & Lukin, S. (2025). Employment Effects of Digital Economy: The Role of SMEs in Bridging Skill Mismatch. International Journal of Multidisciplinary Research, 1(2), 112-118.
  11. HOU, R., JEONG, S., WANG, Y., LAW, K. H., & LYNCH, J. P. (2017). Camera-based triggering of bridge structural health monitoring systems using a cyber-physical system framework. Structural Health Monitoring 2017, (shm).
  12. Qi, R. (2025). AUBIQ: A Generative AI-Powered Framework for Automating Business Intelligence Requirements in Resource-Constrained Enterprises. Frontiers in Business and Finance, 2(01), 66-86.
  13. Qi, R. (2025, June). Enterprise financial distress prediction based on machine learning and SHAP interpretability analysis. In Proceedings of the 2025 International Conference on Artificial Intelligence and Digital Finance (pp. 76-79).