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Spatial Pattern and Coordination Relationship of Production–Living–Ecological Space Function and Residents’ Behavior Flow in Rural–Urban Fringe Areas

Author

Listed:
  • Xiaochen Sun

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Bingzi Zhang

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Shuni Ye

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Sara Grigoryan

    (School of Architecture, Tianjin University, Tianjin 300072, China)

  • Yazhuo Zhang

    (School of Civil Engineering, Tianjin University, Tianjin 300072, China)

  • Yike Hu

    (School of Architecture, Tianjin University, Tianjin 300072, China)

Abstract

Territorial spatial planning requires thoughtful consideration of the scientific layout and synergistic control of production, living, and ecological spaces (PLESs). However, research in this field often neglects the human perspective and fails to account for people’s demands and behavioral characteristics. This study evaluates the level and spatial characteristics of residents’ production, living, and ecological behavioral (PLEB) flow, as well as the spatial pattern of the PLES functions, within the framework of the human–land coupling system. Therefore, to analyze the behavior–space coupling coordination relationship, the coupling coordination model is applied. The results indicate that the overall level of residents’ PLEB flow in rural–urban fringe areas is at a lower middle level and the functionality of the PLES is at a medium level, with a spatial distribution pattern of high in the northern and low in the southern areas. Most of the behavior–space matching types are in a state of mismatch between supply and demand. Meanwhile, the PLEB–PLES coupling coordination relationship is generally unbalanced, which is particularly noticeable in the production space. Regardless of whether the behavior–space matching type is a supply deficit or a supply surplus, the mismatch between supply and demand leads to uncoordinated and unreasonable spatial utilization. Overall, the findings of the study provide guidance for future research endeavors about PLESs and suggest embracing a human-centered scientific paradigm. Such a paradigm can promote high-quality, sustainable development of territorial spatial planning while strengthening the capacity and effectiveness of spatial governance and control.

Suggested Citation

  • Xiaochen Sun & Bingzi Zhang & Shuni Ye & Sara Grigoryan & Yazhuo Zhang & Yike Hu, 2024. "Spatial Pattern and Coordination Relationship of Production–Living–Ecological Space Function and Residents’ Behavior Flow in Rural–Urban Fringe Areas," Land, MDPI, vol. 13(4), pages 1-24, March.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:4:p:446-:d:1368128
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    References listed on IDEAS

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    1. Fangjie Pan & Nannan Shu & Qing Wan & Qi Huang, 2023. "Land Use Function Transition and Associated Ecosystem Service Value Effects Based on Production–Living–Ecological Space: A Case Study in the Three Gorges Reservoir Area," Land, MDPI, vol. 12(2), pages 1-19, January.
    2. Lee, Jae Hyun & Davis, Adam W. & Goulias, Konstadinos G., 2017. "Triggers of behavioral change: Longitudinal analysis of travel behavior, household composition and spatial characteristics of the residence," Journal of choice modelling, Elsevier, vol. 24(C), pages 4-21.
    3. Xinghua Cui & Ning Xu & Wanxu Chen & Guanzheng Wang & Jiale Liang & Sipei Pan & Binqiao Duan, 2022. "Spatio-Temporal Variation and Influencing Factors of the Coupling Coordination Degree of Production-Living-Ecological Space in China," IJERPH, MDPI, vol. 19(16), pages 1-26, August.
    4. Thomas Klinger & Martin Lanzendorf, 2016. "Moving between mobility cultures: what affects the travel behavior of new residents?," Transportation, Springer, vol. 43(2), pages 243-271, March.
    5. Jonas De Vos & Long Cheng & Frank Witlox, 2021. "Do changes in the residential location lead to changes in travel attitudes? A structural equation modeling approach," Transportation, Springer, vol. 48(4), pages 2011-2034, August.
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