刘耀林, 仝照民, 刘岁, 黄丹. 土地利用优化配置建模研究进展与展望[J]. 武汉大学学报 ( 信息科学版), 2022, 47(10): 1598-1614. DOI: 10.13203/j.whugis20220603
引用本文: 刘耀林, 仝照民, 刘岁, 黄丹. 土地利用优化配置建模研究进展与展望[J]. 武汉大学学报 ( 信息科学版), 2022, 47(10): 1598-1614. DOI: 10.13203/j.whugis20220603
LIU Yaolin, TONG Zhaomin, LIU Sui, HUANG Dan. Progress and Prospects of Research on Optimal Land-Use Allocation Modeling[J]. Geomatics and Information Science of Wuhan University, 2022, 47(10): 1598-1614. DOI: 10.13203/j.whugis20220603
Citation: LIU Yaolin, TONG Zhaomin, LIU Sui, HUANG Dan. Progress and Prospects of Research on Optimal Land-Use Allocation Modeling[J]. Geomatics and Information Science of Wuhan University, 2022, 47(10): 1598-1614. DOI: 10.13203/j.whugis20220603

土地利用优化配置建模研究进展与展望

Progress and Prospects of Research on Optimal Land-Use Allocation Modeling

  • 摘要: 土地利用优化配置是解决土地资源供需矛盾、协调社会经济发展与生态保护的重要技术手段,也是土地资源可持续利用需要解决的关键问题之一。随着空间模拟和智能优化技术的发展,土地利用优化的理论基础和方法体系也在不断更新。在文献计量的基础上,系统总结了国内外土地利用优化配置的驱动理论和方法,重点分析了空间模拟优化模型和智能寻优模型在土地利用优化配置建模应用中的进展和存在的问题,对土地利用优化配置未来的发展和面临的挑战进行了讨论和展望,提出自然与人文过程的耦合驱动、多模型的空间化协同、大数据知识挖掘方法的嵌入和数字孪生技术的支撑,应是土地利用优化配置领域下一阶段的研究方向。

     

    Abstract: The optimal allocation of land-use is an important technical means to solve the contradiction between supply and demand of land resources and to coordinate social and economic development with ecolog?ical protection, and it is also one of the key issues that need to be solved for the sustainable use of land resources. With the development of spatial simulation and intelligent optimization technology, the theoretical basis and methodological system of land-use optimization are constantly updated. Based on bibliometrics analysis, this paper systematically summarized the driving theories and methodology of land-use optimal allocation at home and abroad, focused on the application of spatial simulation models and intelligent optimization models in land-use optimization problems, discussed and prospected the challenges and the future development of optimal land-use allocation, and put forward that: The coupling drive of natural and human processes, spatial collaboration of multiple models, embedding big data knowledge mining methods, and the support of digital twin technology, should be the research direction of the next stage in the field of optimal land-use allocation.

     

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