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A Production–Living–Ecological Space Model for Land-Use Optimisation: A case study of the core Tumen River region in China

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  • Tian, Fenghao
  • Li, Mingyu
  • Han, Xulong
  • Liu, Hui
  • Mo, Boxian

Abstract

The study of production–living–ecological space (PLES) is essential for the sustainable use of land resources and regional socioeconomic development, and several studies have adopted PLES-based evaluation indices. However, few studies have investigated the effects of governmental regulation and human activity on the optimal allocation of land for different uses. Crucially, the non-optimal use of land by urban decision-makers leads to multiple problems including wasting potential land resources and trade-offs between economic development and environmental protection. Therefore, in this study, we developed a multi-spatial agent-based optimisation model (MSABOM) coupled with a multi-agent system (MAS) within a machine-learning framework. The MSABOM determines spatially optimised land-use solutions based on the small-scale land-use preferences of stakeholders, and addresses conflicts in the sub-optimal allocation of resources based on the behaviours of model agents and the decision-making environment. The Yanbian Korean Autonomous Prefecture in China was used as a case study to demonstrate the effectiveness of this approach. The results show that (1) the MSABOM can significantly improve the optimisation of PLES, improving the land utilisation rate by 1.22 times; (2) based on an understanding of existing practices, the optimal allocation plan obtained by the agent-based model is more suitable than that obtained by a non-agent-based model; (3) multi-functional land-use patterns can be optimally allocated in space and time, which is extremely useful for coordinating stakeholder participation and addressing conflicts of interest in land-use behaviours; and (4) an urban spatial development coefficient was successfully used to determine the dominant function and functional positioning of PLES, which helps ensure flexible development strategies for spatial planning.

Suggested Citation

  • Tian, Fenghao & Li, Mingyu & Han, Xulong & Liu, Hui & Mo, Boxian, 2020. "A Production–Living–Ecological Space Model for Land-Use Optimisation: A case study of the core Tumen River region in China," Ecological Modelling, Elsevier, vol. 437(C).
    • Handle: RePEc:eee:ecomod:v:437:y:2020:i:c:s030438002030380x
    DOI: 10.1016/j.ecolmodel.2020.109310
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    Cited by:

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    2. Miaomiao Hu & Tan Yigitcanlar & Fei Li & Shengqi Deng & Yabo Yang, 2024. "Sustainable Development of Production–Living–Ecological Spaces: Insights from a 30-Year Remote Sensing Analysis," Sustainability, MDPI, vol. 16(21), pages 1-27, November.
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    4. Yanqiong Zhao & Jinhua Cheng & Yongguang Zhu & Yanpu Zhao, 2021. "Spatiotemporal Evolution and Regional Differences in the Production-Living-Ecological Space of the Urban Agglomeration in the Middle Reaches of the Yangtze River," IJERPH, MDPI, vol. 18(23), pages 1-19, November.
    5. Zhang, Zuo & Li, Jiaming, 2022. "Spatial suitability and multi-scenarios for land use: Simulation and policy insights from the production-living-ecological perspective," Land Use Policy, Elsevier, vol. 119(C).
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    7. Yangyang Yuan & Yuchen Yang & Ruijun Wang & Yuning Cheng, 2022. "Predicting Rural Ecological Space Boundaries in the Urban Fringe Area Based on Bayesian Network: A Case Study in Nanjing, China," Land, MDPI, vol. 11(11), pages 1-24, October.
    8. Yu Chen & Xuyang Su & Xuekai Wang, 2022. "Spatial Transformation Characteristics and Conflict Measurement of Production-Living-Ecology: Evidence from Urban Agglomeration of China," IJERPH, MDPI, vol. 19(3), pages 1-20, January.
    9. Yanjun Meng & Kun Wang & Yuanyuan Lin, 2021. "The Role of Land Use Transition on Industrial Pollution Reduction in the Context of Innovation-Driven: The Case of 30 Provinces in China," Land, MDPI, vol. 10(4), pages 1-20, April.
    10. Jingjie Liu & Min Xia, 2023. "Influencing Factors Analysis and Optimization of Land Use Allocation: Combining MAS with MOPSO Procedure," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    11. Xinxin Fu & Xiaofeng Wang & Jitao Zhou & Jiahao Ma, 2021. "Optimizing the Production-Living-Ecological Space for Reducing the Ecosystem Services Deficit," Land, MDPI, vol. 10(10), pages 1-17, September.
    12. Rong Guo & Xiaochen Wu & Tong Wu & Chao Dai, 2023. "Spatial–Temporal Pattern Characteristics and Impact Factors of Carbon Emissions in Production–Living–Ecological Spaces in Heilongjiang Province, China," Land, MDPI, vol. 12(6), pages 1-19, May.
    13. Ziwei Luo & Xijun Hu & Yezi Wang & Cunyou Chen, 2023. "Simulation and Prediction of Territorial Spatial Layout at the Lake-Type Basin Scale: A Case Study of the Dongting Lake Basin in China from 2000 to 2050," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
    14. Xinyan Wu & Jinmei Ding & Bingjie Lu & Yuanyuan Wan & Linna Shi & Qi Wen, 2022. "Eco-Environmental Effects of Changes in Territorial Spatial Pattern and Their Driving Forces in Qinghai, China (1980–2020)," Land, MDPI, vol. 11(10), pages 1-20, October.
    15. Yuchen Peng & Qiaolin Luan & Changsheng Xiong, 2023. "Evaluation of Spatial Functions and Scale Effects of “Production–Living–Ecological” Space in Hainan Island," Land, MDPI, vol. 12(8), pages 1-15, August.
    16. Liu, Jie & Zhang, Lang & Zhang, Qingping & Li, Chao & Zhang, Guilian & Wang, Yuncai, 2022. "Spatiotemporal evolution differences of urban green space: A comparative case study of Shanghai and Xuchang in China," Land Use Policy, Elsevier, vol. 112(C).
    17. Jianchun Fu & Shaoliang Zhang, 2021. "Functional Assessment and Coordination Characteristics of Production, Living, Ecological Function—A Case Study of Henan Province, China," IJERPH, MDPI, vol. 18(15), pages 1-15, July.
    18. Jin, Hong & Li, Heping & Lee, Jia & Sun, Weitong, 2023. "Simulation analysis of rural land use using rate of change driven by population and economic dynamics - A case study of Huangguashan village in Chongqing, China," Ecological Modelling, Elsevier, vol. 475(C).

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