IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v437y2020ics030438002030380x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438002030380X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2020.109310?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kim, Young-Hwan & Bettinger, Pete & Finney, Mark, 2009. "Spatial optimization of the pattern of fuel management activities and subsequent effects on simulated wildfires," European Journal of Operational Research, Elsevier, vol. 197(1), pages 253-265, August.
    2. Zhang, Honghui & Zeng, Yongnian & Jin, Xiaobin & Shu, Bangrong & Zhou, Yinkang & Yang, Xuhong, 2016. "Simulating multi-objective land use optimization allocation using Multi-agent system—A case study in Changsha, China," Ecological Modelling, Elsevier, vol. 320(C), pages 334-347.
    3. Tatiana Filatova & Dawn C. Parker & Anne van der Veen, 2009. "Agent-Based Urban Land Markets: Agent's Pricing Behavior, Land Prices and Urban Land Use Change," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-3.
    4. Belsare, Aniruddha V. & Gompper, Matthew E., 2015. "A model-based approach for investigation and mitigation of disease spillover risks to wildlife: Dogs, foxes and canine distemper in central India," Ecological Modelling, Elsevier, vol. 296(C), pages 102-112.
    5. Qi Guo & Canfei He, 2015. "Evolution of Production Space and Regional Industrial Structures in China," Papers in Evolutionary Economic Geography (PEEG) 1521, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jul 2015.
    6. Qingxu Huang & Dawn C Parker & Tatiana Filatova & Shipeng Sun, 2014. "A Review of Urban Residential Choice Models Using Agent-Based Modeling," Environment and Planning B, , vol. 41(4), pages 661-689, August.
    7. Sommer, Wijbrand & Valstar, Johan & Leusbrock, Ingo & Grotenhuis, Tim & Rijnaarts, Huub, 2015. "Optimization and spatial pattern of large-scale aquifer thermal energy storage," Applied Energy, Elsevier, vol. 137(C), pages 322-337.
    8. Xiao Ouyang & Zhenbo Wang & Xiang Zhu, 2019. "Construction of the Ecological Security Pattern of Urban Agglomeration under the Framework of Supply and Demand of Ecosystem Services Using Bayesian Network Machine Learning: Case Study of the Changsh," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Minghui Yang & Yu Xie, 2021. "Spatial Pattern Change and Ecosystem Service Value Dynamics of Ecological and Non-Ecological Redline Areas in Nanjing, China," IJERPH, MDPI, vol. 18(8), pages 1-18, April.
    2. Changchun Feng & Hao Zhang & Liang Xiao & Yongpei Guo, 2022. "Land Use Change and Its Driving Factors in the Rural–Urban Fringe of Beijing: A Production–Living–Ecological Perspective," Land, MDPI, vol. 11(2), pages 1-18, February.
    3. 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.
    4. 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).
    5. Yichen Zhang & Chuntao Li & Lang Zhang & Jinao Liu & Ruonan Li, 2022. "Spatial Simulation of Land-Use Development of Feixi County, China, Based on Optimized Productive–Living–Ecological Functions," Sustainability, MDPI, vol. 14(10), pages 1-33, May.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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).
    16. 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.
    17. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bernardo Alves Furtado, 2022. "PolicySpace2: Modeling Markets and Endogenous Public Policies," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 25(1), pages 1-8.
    2. Akopov, Andranik S. & Beklaryan, Levon A. & Saghatelyan, Armen K., 2017. "Agent-based modelling for ecological economics: A case study of the Republic of Armenia," Ecological Modelling, Elsevier, vol. 346(C), pages 99-118.
    3. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret, 2015. "Exploring sprawl: Results from an economic agent-based model of land and housing markets," Ecological Economics, Elsevier, vol. 113(C), pages 114-125.
    4. Rémi Lemoy & Charles Raux & Pablo Jensen, 2016. "Exploring the polycentric city with multi-worker households: an agent-based microeconomic model," Post-Print hal-00602087, HAL.
    5. Guadalupe Azuara García & Efrén Palacios Rosas & Alfonso García-Ferrer & Pilar Montesinos Barrios, 2017. "Multi-Objective Spatial Optimization: Sustainable Land Use Allocation at Sub-Regional Scale," Sustainability, MDPI, vol. 9(6), pages 1-21, June.
    6. 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.
    7. Zhenzhen Yuan & Weijie Li & Yong Wang & Dayun Zhu & Qiuhong Wang & Yan Liu & Lingyan Zhou, 2022. "Ecosystem Health Evaluation and Ecological Security Patterns Construction Based on VORSD and Circuit Theory: A Case Study in the Three Gorges Reservoir Region in Chongqing, China," IJERPH, MDPI, vol. 20(1), pages 1-19, December.
    8. Marcel Ausloos & Herbert Dawid & Ugo Merlone, 2015. "Spatial Interactions in Agent-Based Modeling," Dynamic Modeling and Econometrics in Economics and Finance, in: Pasquale Commendatore & Saime Kayam & Ingrid Kubin (ed.), Complexity and Geographical Economics, edition 127, pages 353-377, Springer.
    9. Beernink, Stijn & Bloemendal, Martin & Kleinlugtenbelt, Rob & Hartog, Niels, 2022. "Maximizing the use of aquifer thermal energy storage systems in urban areas: effects on individual system primary energy use and overall GHG emissions," Applied Energy, Elsevier, vol. 311(C).
    10. Gianluca Menghini & Fabian Gemperle & Irmi Seidl & Kay W Axhausen, 2015. "Results of an Agent-Based Market Simulation for Transferable Development Rights (TDR) in Switzerland," Environment and Planning B, , vol. 42(1), pages 157-183, February.
    11. Xuesong Feng & Zhibin Tao & Xuejun Niu & Zejing Ruan, 2021. "Multi-Objective Land Use Allocation Optimization in View of Overlapped Influences of Rail Transit Stations," Sustainability, MDPI, vol. 13(23), pages 1-14, November.
    12. Tianyue Ma & Jing Li & Shuang Bai & Fangzhe Chang & Zhai Jiang & Xingguang Yan & Jiahao Shao, 2022. "Optimization and Construction of Ecological Security Patterns Based on Natural and Cultivated Land Disturbance," Sustainability, MDPI, vol. 14(24), pages 1-19, December.
    13. Magliocca, Nicholas & McConnell, Virginia & Walls, Margaret & Safirova, Elena, 2012. "Zoning on the urban fringe: Results from a new approach to modeling land and housing markets," Regional Science and Urban Economics, Elsevier, vol. 42(1-2), pages 198-210.
    14. Zhongming Lu & Frank Southworth & John Crittenden & Ellen Dunhum-Jones, 2015. "Market potential for smart growth neighbourhoods in the USA: A latent class analysis on heterogeneous preference and choice," Urban Studies, Urban Studies Journal Limited, vol. 52(16), pages 3001-3017, December.
    15. Rashidi, Eghbal & Medal, Hugh & Gordon, Jason & Grala, Robert & Varner, Morgan, 2017. "A maximal covering location-based model for analyzing the vulnerability of landscapes to wildfires: Assessing the worst-case scenario," European Journal of Operational Research, Elsevier, vol. 258(3), pages 1095-1105.
    16. Shengjun Zhu & Canfei He & Qian Luo, 2019. "Good neighbors, bad neighbors: local knowledge spillovers, regional institutions and firm performance in China," Small Business Economics, Springer, vol. 52(3), pages 617-632, March.
    17. América Ivonne Zamora Torres, 2019. "Cambio tecnológico y eficiencia logística del transporte de carga internacional a través del modelo DEA. (Technological change and efficiency of the logistics system of international freight through t," Ensayos Revista de Economia, Universidad Autonoma de Nuevo Leon, Facultad de Economia, vol. 0(2), pages 183-204, November.
    18. Kai Stricker & Jens C. Grimmer & Robert Egert & Judith Bremer & Maziar Gholami Korzani & Eva Schill & Thomas Kohl, 2020. "The Potential of Depleted Oil Reservoirs for High-Temperature Storage Systems," Energies, MDPI, vol. 13(24), pages 1-26, December.
    19. Davide Natalini & Giangiacomo Bravo & Aled Wynne Jones, 2019. "Global food security and food riots – an agent-based modelling approach," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 11(5), pages 1153-1173, October.
    20. Elena G. Irwin, 2010. "New Directions For Urban Economic Models Of Land Use Change: Incorporating Spatial Dynamics And Heterogeneity," Journal of Regional Science, Wiley Blackwell, vol. 50(1), pages 65-91, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ecomod:v:437:y:2020:i:c:s030438002030380x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.