Analysis of the Green Space Landscape Pattern and Driving Forces in Hefei Binhu New Area

Abstract

Taking Binhu New Area (BNA) as a case study, based on multi-period (2005, 2012, 2020) Landsat remote sensing images, the landscape pattern index and grey relational analysis (GRA) were chosen to quantitatively examine the dynamic change process and driving mechanism of green space landscape patterns. The results showed: (1) From 2005 to 2020, the green space area in BNA showed increases at first and decreases later with the highest degree of dynamic change found in regional green space. (2) Urban green space showed increased diversity and good connectivity, but its green patch was simple with a decreased degree of sprawl. The green patch also showed a tendency towards homogenization, aggregation, and simplification. The patch shapes of park green space, attached green space, and protective green space are relatively simple and there are blind spots in the distribution. (3) Population growth and industrial structure changes are the main driving forces of the changes in green space landscape patterns in BNA. Besides, urban planning and policies also play a big part in these changes. The research results can provide a reference for green space planning and construction in BNA.