Optimization of Ecological Land Use Layout Based on Multimodel Coupling
Publication: Journal of Urban Planning and Development
Volume 149, Issue 1
Abstract
Rapid urbanization is intensifying land use transitions in China by shrinking cropland and increasing land development, exacerbating land abuse, and causing environmental degradation. There are clear needs to improve land use and address these problems; however, most previous studies focused on either structural or layout optimization. In contrast, this paper proposed a method for comprehensive optimization of land use areas, layout, and structure. This involved coupling multiobjective dynamic planning (MODP), Conversion of Land Use and its Effects at Small regional extent (CLUE-S), and minimal cumulative resistance (MCR) models. In this approach, the MODP model predicted future changes that were based on areas of current land use, and the CLUE-S model simulated various future types that were based on the analysis of geographic land use and economic data. In addition, the MODP and CLUE-S models optimized the amounts and spatial distributions of land use types, respectively. The MCR model could then partition the simulation results for ecological optimization. In this paper, an illustrative application was presented that partitioned Changchun City, Jilin Province, China into construction-prohibited, restricted construction, suitable for construction, and key construction areas (which accounted for 17.41%, 30.24%, 25.32%, and 27.04%, respectively of the total area). The optimization result met expectations and provided potentially valuable reference data for spatial land use planning and ecological protection in the focal region. The proposed method to optimize the ecological layout of land use that was based on multimodel coupling considered operability and objectivity; therefore, facilitating practical applications of the results in Changchun and the presented methodology elsewhere.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (Grant No. 42177447), the Science and Technology Development Plan Project of Jilin Province (Grant No. 20210203010SF), and the Science and Technology Strategy and Planning Research of Jilin Science and Technology Department (Grant No. 20200101119FG).
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Information & Authors
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Published In
Journal of Urban Planning and Development
Volume 149 • Issue 1 • March 2023
Copyright
© 2022 American Society of Civil Engineers.
History
Received: Nov 3, 2021
Accepted: Sep 20, 2022
Published online: Nov 15, 2022
Published in print: Mar 1, 2023
Discussion open until: Apr 15, 2023
ASCE Technical Topics:
- Construction engineering
- Construction management
- Coupling
- Design (by type)
- Ecosystems
- Engineering fundamentals
- Environmental engineering
- Infrastructure
- Land use
- Load and resistance factor design
- Load factors
- Models (by type)
- Optimization models
- Simulation models
- Structural design
- Structural engineering
- Structural members
- Structural systems
- Urban and regional development
- Urban areas
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