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Necessity of a Multifaceted Approach in Analyzing Growth of Impervious Surfaces

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  • Ghali Abdullahi Abubakar

    (Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)

  • Jiexia Wu

    (Atmospheric Department, Beijing Piesat Information Technology Co., Ltd., Beijing 100195, China)

  • Amir Reza Shahtahmassebi

    (Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)

  • Ke Wang

    (Institute of Agricultural Remote Sensing and Information Technology, College of Environment and Natural Resource, Zhejiang University, Hangzhou 310058, China)

Abstract

While substantial efforts have been devoted to the remote sensing of impervious surfaces, few studies have developed frameworks to connect impervious surfaces’ growth with spatial planning decisions. To this end, this paper develops a multifaceted approach with three components: Visualization, numerical analysis, and simulation at the sub-pixel level. First, the growth of impervious surfaces was visualized through write function memory (WFM) insertion for the period of 1974–2009 of Cixi County in Zhejiang Province, China. Second, anomaly detection, statistical analysis, and landscape metrics were used to quantify changes in impervious surfaces over time. Finally, a slope, land use, exclusion, urban extent, transportation, and hill shade (SLEUTH) cellular automata model was employed to simulate the impervious surface growth until 2015 under four specific spatial decision scenarios: Current trends, environmental protection growth, business growth, and Chinese policy for protecting rural regions. The results show that Cixi County experienced compact growth due to expansion and internal intensification. Interestingly, the SLEUTH reveals that the projected space of impervious surfaces’ growth was consistent with reality in 2015. The framework established in this study holds considerable potential for improving our understanding of the interaction between impervious surfaces’ growth and planning aspects.

Suggested Citation

  • Ghali Abdullahi Abubakar & Jiexia Wu & Amir Reza Shahtahmassebi & Ke Wang, 2020. "Necessity of a Multifaceted Approach in Analyzing Growth of Impervious Surfaces," Sustainability, MDPI, vol. 12(10), pages 1-22, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4109-:d:359489
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    References listed on IDEAS

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    1. Lizhong Hua & Lina Tang & Shenghui Cui & Kai Yin, 2014. "Simulating Urban Growth Using the SLEUTH Model in a Coastal Peri-Urban District in China," Sustainability, MDPI, vol. 6(6), pages 1-16, June.
    2. Jou-Man Huang & Heui-Yung Chang & Yu-Su Wang, 2020. "Spatiotemporal Changes in the Built Environment Characteristics and Urban Heat Island Effect in a Medium-Sized City, Chiayi City, Taiwan," Sustainability, MDPI, vol. 12(1), pages 1-16, January.
    3. Qing Zheng & Shan He & Lingyan Huang & Xinyu Zheng & Yi Pan & Amir Reza Shahtahmassebi & Zhangquan Shen & Zhoulu Yu & Ke Wang, 2016. "Assessing the Impacts of Chinese Sustainable Ground Transportation on the Dynamics of Urban Growth: A Case Study of the Hangzhou Bay Bridge," Sustainability, MDPI, vol. 8(7), pages 1-20, July.
    4. Shahtahmassebi, Amir Reza & Wu, Chun & Blackburn, George Alan & Zheng, Qing & Huang, Lingyan & Shortridge, Ashton & Shahtahmassebi, Golnaz & Jiang, Ruowei & He, Shan & Wang, Ke & Lin, Yue & Clarke, Ke, 2018. "How do modern transportation projects impact on development of impervious surfaces via new urban area and urban intensification? Evidence from Hangzhou Bay Bridge, China," Land Use Policy, Elsevier, vol. 77(C), pages 479-497.
    5. Lizhong Hua & Xinxin Zhang & Qin Nie & Fengqin Sun & Lina Tang, 2020. "The Impacts of the Expansion of Urban Impervious Surfaces on Urban Heat Islands in a Coastal City in China," Sustainability, MDPI, vol. 12(2), pages 1-21, January.
    6. Han, Yu & Jia, Haifeng, 2017. "Simulating the spatial dynamics of urban growth with an integrated modeling approach: A case study of Foshan, China," Ecological Modelling, Elsevier, vol. 353(C), pages 107-116.
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    Cited by:

    1. Abdullah F. Alqurashi, 2021. "Quantification of Urban Patterns and Processes through Space and Time Using Remote Sensing Data: A Comparative Study between Three Saudi Arabian Cities," Sustainability, MDPI, vol. 13(22), pages 1-22, November.

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