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Evaluation and Optimization Algorithm of Regional Multi-Scale Land Spatial Coordination Degree Under Multi-Source Data Fusion

In: Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)

Author

Listed:
  • Feng Chen

    (Zhejiang University Urban-Planning & Design Institute Co, Ltd.)

  • Yifang Li

    (Zhejiang University Urban-Planning & Design Institute Co, Ltd.)

  • Yuxin Zhang

    (Zhejiang University Urban-Planning & Design Institute Co, Ltd.)

Abstract

Against the backdrop of rapid economic and social development, accelerated urbanization, and changes in land use structure, we actively respond to the national ecological protection strategy, coordinate regional and multi-scale land spatial planning, and comprehensively promote the construction of ecological civilization Therefore, we put forward the evaluation and optimization algorithm of regional multi-scale land spatial coordination under multi-source data fusion. The evaluation price index system of regional multi-scale land spatial coordination degree is constructed, the calculation model of coordination degree is established, and the evaluation and optimization algorithm of regional multi-scale land spatial coordination degree is realized by multi-source data fusion. The experimental results show that the coordination degree under the studied algorithm is getting better and better, and it shows a linear upward trend every year; The maximum value and average value of the consistency test results are lower than 0.1, and the index weight setting is reasonable and feasible.

Suggested Citation

  • Feng Chen & Yifang Li & Yuxin Zhang, 2024. "Evaluation and Optimization Algorithm of Regional Multi-Scale Land Spatial Coordination Degree Under Multi-Source Data Fusion," Advances in Economics, Business and Management Research, in: Suhaiza Hanim Binti Dato Mohamad Zailani & Kosga Yagapparaj & Norhayati Zakuan (ed.), Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023), pages 688-695, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-256-9_69
    DOI: 10.2991/978-94-6463-256-9_69
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