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The Integration of Dual Evaluation and Minimum Spanning Tree Clustering to Support Decision-Making in Territorial Spatial Planning

Author

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  • Muxin Jia

    (Hillier College of Architecture and Design, New Jersey Institute of Technology, Newark, NJ 07102, USA)

  • Ang Liu

    (Global Urban Studies Program, Rutgers University, Newark, NJ 07102, USA)

  • Taro Narahara

    (Hillier College of Architecture and Design, New Jersey Institute of Technology, Newark, NJ 07102, USA)

Abstract

Spatial planning, a policy instrument for creating sustainable environments that meet the needs of the current and future generations, has been implemented extensively worldwide. However, it is difficult for urban planners to thoroughly determine the spatial value of a territory and make informed decisions regarding the efficient utilization of regional resources in the real world. This study proposes a novel methodological framework for spatial pattern optimization that can guide future land use by integrating Minimum Spanning Tree (MST) clustering with a comprehensive evaluation system (dual evaluation). Furthermore, the validity of this framework is demonstrated through a case study of territorial spatial planning in Deyang, China. The findings indicate that (1) the methodological framework presented in this study offers valuable guidance for the spatial arrangement of territorial resources, especially in practical projects; and (2) the combination of dual evaluation and MST clustering can facilitate automatic regionalization to identify spatial clusters exhibiting functional similarity in terms of land use. By focusing on methodological advancements, this study concludes that the integration of dual evaluation (DE) and MST clustering not only simplifies the identification of optimal land-use patterns but also promotes a more systematic and efficient approach to support spatial planning.

Suggested Citation

  • Muxin Jia & Ang Liu & Taro Narahara, 2024. "The Integration of Dual Evaluation and Minimum Spanning Tree Clustering to Support Decision-Making in Territorial Spatial Planning," Sustainability, MDPI, vol. 16(10), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:10:p:3928-:d:1390396
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    References listed on IDEAS

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    3. Ouyang, Xiao & Xu, Jun & Li, Jiayu & Wei, Xiao & Li, Yonghui, 2022. "Land space optimization of urban-agriculture-ecological functions in the Changsha-Zhuzhou-Xiangtan Urban Agglomeration, China," Land Use Policy, Elsevier, vol. 117(C).
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