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Spatiotemporal Variation of Driving Forces for Settlement Expansion in Different Types of Counties

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  • Guanglong Dong

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Erqi Xu

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Hongqi Zhang

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Understanding the process of settlement expansion and the spatiotemporal variation of driving forces is the foundation of rational and specific planning for sustainable development. However, little attention has been paid to the spatiotemporal differences of driving forces among different counties, especially when they are representatives of different development types. This study used Guanyun, Kunshan and Changshu as case studies, and binary logistic regression was employed. The results showed that the expansion rates of Kunshan and Changshu were 5.55 and 3.93 times higher than that of Guanyun. The combinations and relative importance of drivers varied with counties and periods. The change in the number of driving forces can be divided into three stages: increasing stage, decreasing stage, and stable stage. In the relatively developed counties, Kunshan and Changshu, the importance of population is decreased, while it remain an important factor in the less developed county, Guanyun. In addition, the effect of GDP stays the same in Kunshan while it becomes the most important factor in Changshu. The distance to the main road and the distance to town are increasingly important in Kunshan and Guanyun, and distance to town has been the only common factor in the last period, indicating the discrepancy is increased. The relative importance of distance to a lake in Kunshan and Changshu increased, reflecting the role of increasing tourism in accelerating settlement expansion.

Suggested Citation

  • Guanglong Dong & Erqi Xu & Hongqi Zhang, 2015. "Spatiotemporal Variation of Driving Forces for Settlement Expansion in Different Types of Counties," Sustainability, MDPI, vol. 8(1), pages 1-17, December.
    • Handle: RePEc:gam:jsusta:v:8:y:2015:i:1:p:39-:d:61570
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    References listed on IDEAS

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    5. Hualin Xie & Jinlang Zou & Hailing Jiang & Ning Zhang & Yongrok Choi, 2014. "Spatiotemporal Pattern and Driving Forces of Arable Land-Use Intensity in China: Toward Sustainable Land Management Using Emergy Analysis," Sustainability, MDPI, vol. 6(6), pages 1-17, May.
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    Cited by:

    1. Bohua Yu & Wei Song & Yanqing Lang, 2017. "Spatial Patterns and Driving Forces of Greenhouse Land Change in Shouguang City, China," Sustainability, MDPI, vol. 9(3), pages 1-15, March.
    2. Yufan Chen & Yong He, 2022. "Urban Land Expansion Dynamics and Drivers in Peri-Urban Areas of China: A Case of Xiaoshan District, Hangzhou Metropolis (1985–2020)," Land, MDPI, vol. 11(9), pages 1-19, September.
    3. Manjiang Shi & Yaowen Xie & Qi Cao, 2016. "Spatiotemporal Changes in Rural Settlement Land and Rural Population in the Middle Basin of the Heihe River, China," Sustainability, MDPI, vol. 8(7), pages 1-17, June.

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