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Characteristics and trends of hillside urbanization in China from 2007 to 2017

Habitat International, ISSN: 0197-3975, Vol: 120, Page: 102502
2022
  • 19
    Citations
  • 0
    Usage
  • 26
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    19
    • Citation Indexes
      19
  • Captures
    26

Article Description

China's rapid urbanization has resulted in a dramatic loss in cultivated land that threatens future food security. Local and central government have successively launched a series of Low-slope Hilly Regions Comprehensive Development and Utilization (LHRCDU) pilot projects (i.e., the rudiment of China's hillside urbanization) since 2006 to balance the contradiction between urban growth and flat farmland protection. However, the process, quantity and effect of hillside urbanization over China remain unknown. In this study, we conducted an investigation of hillside urbanization (mainly refers to the urban land expansion on hillsides) over China from 2007 to 2017 by combining earth observation satellite data with spatial analysis techniques. Our results revealed that 12.32% of China's urban expansion area came from hillside urbanization, in which Guizhou, Yunnan, Shanxi and Fujian had large areas of hillside urbanization area (accounting for 25.63% of the total hillside urbanization area in China), while Guizhou, Tibet, Yunnan, Chongqing, Hong Kong and Shanxi had higher hillside urbanization rates (>30%). China's hillside urbanization rate also showed a steady upward trend, and 20% of hillside urbanization was high environmental cost (HEC), occupying 1535.94 km 2 of hillside forest. Our findings provide timely and transparent monitoring on China's hillside urbanization, and indicate that hillside urbanization can relieve the pressure of urban development on flat farmland but needs to be regulated for ecological safety.

Bibliographic Details

Chao Yang; Wenhao Guo; Chenchen Zhang; Aihong Cui; Xuecao Li; Tianhong Zhao; Huizeng Liu; Tiezhu Shi; Gang Xu; Xu Fang; Xu Liu; Kangyong Zhang; Peng Gong; Qingquan Li; Guofeng Wu

Elsevier BV

Social Sciences

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