Knowledge Graph-Based Decision Intelligence for Sustainable Urban Planning

  • Authors

    • Alan Bundy Professor of Artificial Intelligence, University of Edinburgh, United Kingdom. Author
    • Karen Spärck Jones Professor, University of Cambridge, United Kingdom. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2024PII1Z9N

    Published 08-04-2024

  • Knowledge Graph, Decision Intelligence, Sustainable Urban Planning, Smart Cities, Artificial Intelligence, Semantic Web, Urban Analytics, Knowledge Representation, Decision Support Systems, Sustainability Optimization

    Issue

    Vol. 7 No. 2 (2024)

    Section

    Articles

    How to Cite

    [1]
    A. Bundy and K. S. Jones, “Knowledge Graph-Based Decision Intelligence for Sustainable Urban Planning”, IJETMR, vol. 7, no. 2, pp. 01–15, Aug. 2024, doi: 10.67228/30715636/IJETMR-2024PII1Z9N.

  • Abstract

    Rapid urbanization has made urban planning increasingly complex, creating challenges in infrastructure, transportation, environmental sustainability, resource allocation, and public service management. Traditional planning methods rely on isolated datasets and static GIS systems, limiting integrated decision-making. This paper proposes a Knowledge Graph-Based Decision Intelligence Framework for Sustainable Urban Planning that integrates heterogeneous urban data into a unified semantic knowledge graph. The framework combines knowledge graphs, machine learning, graph analytics, graph neural networks, predictive analytics, and multi-objective optimization to generate intelligent and explainable planning recommendations. The methodology includes urban data integration, knowledge graph construction, intelligent decision reasoning, and sustainability evaluation. Experimental results indicate improved planning accuracy, infrastructure optimization, semantic interoperability, resource utilization, and policy effectiveness compared with conventional approaches. The proposed framework provides a scalable, transparent, and data-driven decision support system for developing resilient and sustainable smart cities.

  • References

    [1] H. Zhang, Y. Wang, and X. Li, "Knowledge Graph Construction and Applications for Smart Cities: A Survey," IEEE Access, vol. 9, pp. 102950–102972, 2021.

    [2] A. Bibri and J. Krogstie, "Smart Sustainable Cities of the Future: An Extensive Interdisciplinary Literature Review," IEEE Access, vol. 8, pp. 183742–183768, 2020.

    [3] Y. Zhou, X. Liu, and S. Wang, "Knowledge Graph-Based Urban Intelligence for Smart City Applications," IEEE Internet of Things Journal, vol. 9, no. 15, pp. 13261–13274, Aug. 2022.

    [4] W. Hamilton, Z. Ying, and J. Leskovec, "Graph Representation Learning in Intelligent Systems: Recent Advances and Applications," IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 7, pp. 2914–2931, Jul. 2022.

    [5] S. Ji, S. Pan, E. Cambria, P. Marttinen, and P. S. Yu, "A Survey on Knowledge Graphs: Representation, Acquisition and Applications," IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 2, pp. 494–514, Feb. 2022.

    [6] M. Chen, U. Challita, W. Saad, C. Yin, and M. Debbah, "Artificial Intelligence for Wireless and Smart City Networks: A Survey," IEEE Communications Surveys & Tutorials, vol. 24, no. 1, pp. 230–267, 2022.

    [7] X. Wu, F. Zhang, and H. Wang, "Explainable Artificial Intelligence for Intelligent Decision Support Systems: A Survey," IEEE Access, vol. 10, pp. 73456–73482, 2022.

    [8] Z. Wu, S. Pan, F. Chen, G. Long, C. Zhang, and P. S. Yu, "A Comprehensive Survey on Graph Neural Networks," IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 1, pp. 4–24, Jan. 2021.

    [9] Y. Liu, H. Song, and M. Sookhak, "Artificial Intelligence for Sustainable Smart Cities: Recent Advances and Future Directions," IEEE Access, vol. 11, pp. 12856–12878, 2023.

    [10] P. Wang, L. Zhang, and J. Chen, "Knowledge Graph-Driven Decision Intelligence Framework for Urban Sustainability," IEEE Access, vol. 11, pp. 54382–54401, 2023.

    [11] A. H. Sodhro, S. Pirbhulal, and V. H. C. de Albuquerque, "Artificial Intelligence-Driven Smart Cities: Technologies, Challenges and Future Trends," IEEE Internet of Things Magazine, vol. 6, no. 2, pp. 34–40, Jun. 2023.

    [12] X. Li, J. Tang, and Y. Sun, "Semantic Knowledge Graphs for Urban Infrastructure Management and Intelligent Planning," IEEE Access, vol. 12, pp. 15423–15445, 2024.

    [13] M. Al-Rakhami, A. Gumaei, and M. M. Hassan, "Decision Intelligence for Smart Cities Using Explainable Artificial Intelligence," IEEE Access, vol. 12, pp. 68391–68412, 2024.

    [14] S. Wang, Y. Chen, and J. Xu, "Graph Neural Network-Based Urban Computing for Sustainable Smart Cities," IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 3, pp. 2145–2159, Mar. 2024.

  • Downloads