Scholarlink

<p>Construction Land Reduction (CLR) has emerged as a pivotal policy in China for optimizing land-use spatial structure, particularly in metropolitan suburbs. This study develops a novel "simulated reverse extrapolation" framework to quantify its effects, integrating the PLUS model with FRAGSTATS to assess CLR intensity and landscape patterns in Shanghai's suburbs. Our findings demonstrate that CLR significantly enhances landscape connectivity and curbs urban sprawl, mechanisms primarily driven by edge and agglomeration effects. These impacts, however, are heterogeneous, varying substantially with local land supply types, industrial development levels, and geographical context. Spatial econometric analysis of 96 suburban townships (2014–2024) confirms a significant spatial interdependence between CLR and land-use structure. The Spatial Durbin Model further reveals a nuanced spillover effect: while CLR robustly improves landscape connectivity within implementing towns, it generates negative externalities by reducing connectivity in adjacent areas. These insights provide critical empirical evidence for refining ecological civilization initiatives and optimizing territorial spatial planning.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

How Has Construction Land Reduction Optimized the Spatial Structure of Land Use in Suburbs of Shanghai?

  • 期刊论文

  • 发表日期：

    2025年12月26日

查看全文
  • Wenying Li,
  • Keqiang Wang,
  • Hongmei Liu

摘要

Construction Land Reduction (CLR) has emerged as a pivotal policy in China for optimizing land-use spatial structure, particularly in metropolitan suburbs. This study develops a novel "simulated reverse extrapolation" framework to quantify its effects, integrating the PLUS model with FRAGSTATS to assess CLR intensity and landscape patterns in Shanghai's suburbs. Our findings demonstrate that CLR significantly enhances landscape connectivity and curbs urban sprawl, mechanisms primarily driven by edge and agglomeration effects. These impacts, however, are heterogeneous, varying substantially with local land supply types, industrial development levels, and geographical context. Spatial econometric analysis of 96 suburban townships (2014–2024) confirms a significant spatial interdependence between CLR and land-use structure. The Spatial Durbin Model further reveals a nuanced spillover effect: while CLR robustly improves landscape connectivity within implementing towns, it generates negative externalities by reducing connectivity in adjacent areas. These insights provide critical empirical evidence for refining ecological civilization initiatives and optimizing territorial spatial planning.