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Characterizing Factors Associated with Built-Up Land Expansion in Urban and Non-Urban Areas from a Morphological Perspective

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  • Zhonghao Zhang

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
    Institute of Urban Studies, Shanghai Normal University, Shanghai 200234, China
    Key Laboratory for National Geographic Census and Monitoring, National Administration of Surveying, Mapping and Geo-Information, Wuhan University, Wuhan 430079, China
    Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 73000, China)

  • Rui Xiao

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Weixuan Yu

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Yue Liu

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Meng Lin

    (School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China)

  • Meng Wang

    (Wuhan Planning & Design Institute, Wuhan 430014, China)

Abstract

In this paper, built-up land expansion patterns and the associated factors were characterized in urban and non-urban areas across the Wen-Tai region of eastern China. Fractal dimension can be used as a reliable indicator of the complexity of built-up land form, and the increasing trend of fractal dimension indicated a more complex, dispersed pattern of built-up land in urban areas. Spatial regression models were quantitatively implemented to identify the indicators influencing the variation of fractal dimensions. Our findings suggested that the fractal dimension of built-up land forms was positively correlated to the patch density and elevation when built-up land expansion was more concentrated. Both landscape shape index and Gross Domestic Product (GDP) were positively correlated with fractal dimension in urban areas, and total edge, edge density, and connective index had impacts on fractal dimension in non-urban areas. Slope and agricultural population also showed an influence on fractal dimension. This study provided a new way for urban studies in interpreting the complex interactions between fractal dimension and related factors. The combined approach of fractal dimension and spatial analysis can provide the government planners with valuable information that can be efficiently used to realize the influences of land use policies in urban and non-urban areas.

Suggested Citation

  • Zhonghao Zhang & Rui Xiao & Weixuan Yu & Yue Liu & Meng Lin & Meng Wang, 2017. "Characterizing Factors Associated with Built-Up Land Expansion in Urban and Non-Urban Areas from a Morphological Perspective," Sustainability, MDPI, vol. 9(8), pages 1-15, August.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:8:p:1411-:d:107779
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    References listed on IDEAS

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    Cited by:

    1. Yang Yang & Baibai Fu, 2023. "Spatial Heterogeneity of Urban Road Network Fractal Characteristics and Influencing Factors," Sustainability, MDPI, vol. 15(16), pages 1-16, August.

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