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Evolution and Prediction of Urban Fringe Areas Based on Logistic–CA–Markov Models: The Case of Wuhan City

Author

Listed:
  • Yan Long

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Xi Liu

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Shiqi Luo

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Tianyue Luo

    (Wuhan Planning & Design Institute (Wuhan Transportation Development Strategy Institute), Wuhan 430010, China)

  • Siyu Hu

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Yuqiao Zheng

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Jingmei Shao

    (School of Urban Construction, Wuhan University of Science and Technology, Wuhan 430065, China)

  • Xuejun Liu

    (School of Urban Design, Wuhan University, Wuhan 430072, China
    Research Center for Digital City, Wuhan University, Wuhan 430072, China)

Abstract

The urban fringe is the transitional area from rural form to urban form, and it is also the urban space reserve land in the Territorial Spatial Plan. However, few researchers predict its overall evolution and guide the implementation of the Territorial Spatial Plan. This study attempts to explore the dynamic evolution law of urban fringe, analyze its driving factors, predict its future development, and put forward management suggestions for the implementation of the Territorial Spatial Plan. In this paper, the land use data of Wuhan in 2000, 2010 and 2020 are applied to delimit the urban fringe area of Wuhan by means of a sliding t -test. Fifteen driving factors are selected from three dimensions, natural factors, socio-economic factors and traffic accessibility, and brought into the Logistic model to explore the driving factors of its spatial evolution. The CA–Markov model is used to predict the fringe area of Wuhan in 2035. The results show that the transformation of rural hinterland into urban fringe is obviously affected by the distance from railway stations, highways, commercial centers and urban main roads. It is predicted that the outer boundary of Wuhan’s fringe area in 2035 will be basically the same as the planned urban development boundary. In order to realize the intention of land space planning, the development and construction of the northwest of the Huangpi District, the East Lake Scenic Area, and the west side of the Jiangxia District should be restricted. From the perspective of the evolution of the fringe area, this paper puts forward some management suggestions for the implementation of the Territorial Spatial Plan and makes a beneficial attempt in theory and method to understand the development characteristics of the fringe area and promote the implementation of the Territorial Spatial Plan.

Suggested Citation

  • Yan Long & Xi Liu & Shiqi Luo & Tianyue Luo & Siyu Hu & Yuqiao Zheng & Jingmei Shao & Xuejun Liu, 2023. "Evolution and Prediction of Urban Fringe Areas Based on Logistic–CA–Markov Models: The Case of Wuhan City," Land, MDPI, vol. 12(10), pages 1-30, October.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:10:p:1874-:d:1253613
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    References listed on IDEAS

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    1. Yuting Chen & Bingyao Jia & Jing Wu & Xuejun Liu & Tianyue Luo, 2022. "Temporal and Spatial Attractiveness Characteristics of Wuhan Urban Riverside from the Perspective of Traveling," Land, MDPI, vol. 11(9), pages 1-21, August.
    2. Guiyuan Li & Guo Cheng & Zhenying Wu & Xiaoxiao Liu, 2022. "Coupling Coordination Research on Disaster-Adapted Resilience of Modern Infrastructure System in the Middle and Lower Section of the Three Gorges Reservoir Area," Sustainability, MDPI, vol. 14(21), pages 1-24, November.
    3. Yanan Li & Linghua Duo & Ming Zhang & Zhenhua Wu & Yanjun Guan, 2021. "Assessment and Estimation of the Spatial and Temporal Evolution of Landscape Patterns and Their Impact on Habitat Quality in Nanchang, China," Land, MDPI, vol. 10(10), pages 1-19, October.
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    Cited by:

    1. Dan Ji & Jian Tian & Jiahao Zhang & Jian Zeng & Aihemaiti Namaiti, 2024. "Identification and Spatiotemporal Evolution Analysis of the Urban–Rural Fringe in Polycentric Cities Based on K-Means Clustering and Multi-Source Data: A Case Study of Chengdu City," Land, MDPI, vol. 13(11), pages 1-26, October.

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