Issue |
E3S Web of Conf.
Volume 393, 2023
2023 5th International Conference on Environmental Prevention and Pollution Control Technologies (EPPCT 2023)
|
|
---|---|---|
Article Number | 01029 | |
Number of page(s) | 4 | |
Section | Environmental Assessment and Urban and Rural Resource Planning | |
DOI | https://doi.org/10.1051/e3sconf/202339301029 | |
Published online | 02 June 2023 |
Multi-objective Spatial Optimization and Evaluation of Land Use in Xishuangbanna
1 School of Computer Science and Technology, Beijing Institute of Technology, 102488, China
2 School of Mathematics and Statistics, Beijing Institute of Technology, 102488, China
3 School of Automation, Beijing Institute of Technology, 102488, China
4 Faculty of Geographical Science, Beijing Normal University, 100875, China
Effective management of environmental resources and energy demands optimal land use, which is a crucial issue in environmental planning and assessment nowadays. This paper proposes a method for optimal land use in the Xishuangbanna Prefecture, with three objectives (maximum economic efficiency, ecological efficiency, and land compactness) and corresponding constraints according to the development needs and environmental resources characteristics. The multi-objective optimization algorithm (improved NSGA-II) is used to explore a set of solutions for land use optimization in which all objectives are optimal and weighed. Among them, representative solutions are selected (the no-preference solution and the solutions in which each of the three objectives prevails). After optimization, a comprehensive evaluation model is established to further assess representative solutions based on the analytic hierarchy process, which has good adaptability and flexibility for different decision orientations. The paper provides decision support for land use planning and assessment in the Xishuangbanna Prefecture and can be extended to other regions.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.