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

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

Authors
Feng Chen1, *, Yifang Li1, Yuxin Zhang1
1Zhejiang University Urban-Planning & Design Institute Co, Ltd., Hangzhou, 310010, Zhejiang, China
*Corresponding author. Email: zjufengc@foxmail.com
Corresponding Author
Feng Chen
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-256-9_69How to use a DOI?
Keywords
Multi-source data fusion; Regional multi-scale land space; Coordination evaluation; Optimization algorithm
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.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
Series
Advances in Economics, Business and Management Research
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-256-9_69
ISSN
2352-5428
DOI
10.2991/978-94-6463-256-9_69How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

TY  - CONF
AU  - Feng Chen
AU  - Yifang Li
AU  - Yuxin Zhang
PY  - 2023
DA  - 2023/10/09
TI  - Evaluation and Optimization Algorithm of Regional Multi-Scale Land Spatial Coordination Degree Under Multi-Source Data Fusion
BT  - Proceedings of the 2023 4th International Conference on Management Science and Engineering Management (ICMSEM 2023)
PB  - Atlantis Press
SP  - 688
EP  - 695
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-256-9_69
DO  - 10.2991/978-94-6463-256-9_69
ID  - Chen2023
ER  -