Optimizing distribution of urban land on the basis of urban land use intensity at prefectural city scale in mainland China

Wang, Liye ^[1] ; Zhang, Siyu ^[2] ; Tang, Lanping ^[2] ; Lu, Yanchi ^[1] ; Liu, Yanfang ^[1] ; Liu, Yaolin ^[1]
1. [1] Wuhan University
  
  Wuhan University
  
  China
2. [2] Huazhong Agricultural University
  
  Huazhong Agricultural University
  
  China
Localización: Land use policy: The International Journal Covering All Aspects of Land Use, ISSN 0264-8377, ISSN-e 1873-5754, Nº. 115, 2022
Idioma: inglés
Texto completo no disponible (Saber más ...)

Resumen
- Urban land use intensity (ULUI) reflects the utilization status of urban land use. However, few studies have allocated urban land distribution across provinces or cities based on the ULUI. We propose an optimization method to allocate the urban land based on ULUI to make it effective and decrease the loss of ecosystem services. Using mainland China as the research area, we first estimated ULUI at the prefectural city level in 2015 and evaluated its spatial heterogeneity; urban land distribution in 2030 was then optimized by coupling the estimated ULUI and the LAND System Cellular Automata model for Potential Effects (LANDSCAPE). Specifically, we generated two scenarios: ULUI, and quota (QT). Results showed the following: (1) ULUI demonstrated a spatially heterogenous distribution in 2015. Cities with high ULUI were mainly centralized around urban agglomerations; those with low ULUI were distributed in the northwest and northeast of the research area, where there were economically undeveloped regions. (2) Using optimization, the total economic benefits (EBs) increased and the loss of ecosystem service value (ESV) decreased. Many prefectural cities increased economic output, and reduced ecological losses, even in some rapidly cities. Our research highlights that optimizing urban land based on ULUI is a reasonable method to increase EBs and reduce ESV loss.