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Building Density Dynamics and Habitability Evaluation of China’s Nanning City

Author

Listed:
  • Yongke Wu

    (Guangxi Institute of Natural Resources Survey and Monitoring, Nanning 530200, China)

  • Xiankun Yang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Zhiqiang Jia

    (School of Earth Sciences, Guilin University of Technology, Guilin 541004, China)

  • Jinnian Wang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

Abstract

Unlocking the secrets of habitable urban areas is crucial to improve the quality of life for urban dwellers. Accurate assessment of the ever-changing dynamics of a modern metropolis remains a challenging task. Previous studies have failed to reveal the dynamics of urban building spatial configuration at the micro-level. By analyzing high-resolution satellite imagery, this study has developed new direct and indirect metrics to better understand building density dynamics. We also applied these metrics to a study area located in Nanning City, China, revealing fascinating insights into the evolving spatial patterns of building density over the past 17 years. Our Q/R analysis uncovered areas with high habitability and suggested strategic improvements for sustainable building spatial configuration. This study is a valuable addition to the growing body of urban development research and provides scientific references for measurements of sustainable urban planning worldwide.

Suggested Citation

  • Yongke Wu & Xiankun Yang & Zhiqiang Jia & Jinnian Wang, 2023. "Building Density Dynamics and Habitability Evaluation of China’s Nanning City," Sustainability, MDPI, vol. 15(9), pages 1-20, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7659-:d:1140989
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    References listed on IDEAS

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    1. Franz Schug & David Frantz & Sebastian van der Linden & Patrick Hostert, 2021. "Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates," PLOS ONE, Public Library of Science, vol. 16(3), pages 1-23, March.
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