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Identification of urban land use efficiency by indicator-SDG 11.3.1

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  • Guoyin Cai
  • Jinxi Zhang
  • Mingyi Du
  • Chaopeng Li
  • Shu Peng

Abstract

Inefficiency in urban land use is one of the problems caused by rapid urbanization. The UN Sustainable Development Goals (SDGs) indicator 11.3.1 is designed to test urban land use efficiency. This study employed geospatial and statistical data to compute land use efficiencies from 1990 to 2015 with five 5-year and ten 15-year intervals in Wukang, center of Deqing County, China. A flowchart was designed to extract the built-up lands from multiple data sources. The produced built-up lands were demonstrated to provide good accuracy by constructing an error matrix between the extracted and manually interpreted built-up lands as classified and reference images, respectively. By using the model provided by UN metadata to calculate SDG 11.3.1, the land use efficiencies from 1990 to 2015 were identified in Wukang. Our results indicate that the land use efficiency in Deqing County center is lower than the average of cities around the world, primarily because our in-situ study focused on a county center with larger rural regions than urban areas. Over the long term, urban land use becomes denser as the population grows, which will have a positive impact on the sustainability of urban development. This work is helpful for the local government to balance urban land consumption and population growth.

Suggested Citation

  • Guoyin Cai & Jinxi Zhang & Mingyi Du & Chaopeng Li & Shu Peng, 2020. "Identification of urban land use efficiency by indicator-SDG 11.3.1," PLOS ONE, Public Library of Science, vol. 15(12), pages 1-14, December.
    • Handle: RePEc:plo:pone00:0244318
    DOI: 10.1371/journal.pone.0244318
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    1. Richard B. Peiser, 1989. "Density and Urban Sprawl," Land Economics, University of Wisconsin Press, vol. 65(3), pages 193-204.
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    Cited by:

    1. Yi, Zhang & Zhou, Wenwu & Razzaq, Asif & Yang, Yao, 2023. "Land resource management and sustainable development: Evidence from China's regional data," Resources Policy, Elsevier, vol. 84(C).
    2. Koroso, Nesru H., 2023. "Urban land policy and urban land use efficiency: An analysis based on remote sensing and institutional credibility thesis," Land Use Policy, Elsevier, vol. 132(C).

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