Identification and Landscape Pattern Analysis of Peri-Urban Areas

Abstract

The process of peri-urbanization in the context of globalization has become a global phenomenon. Taking Budapest as a case study, this study aims to develop a breakpoint clustering method that combines breakpoint method and spatial clustering to identify peri-urban areas (PUAs). Landscape metrics were used to analyze the structure and characteristics of various landscapes within PUAs. The results indicate that PUAs in Budapest occupy 39.63% of the area, predominantly consisting of artificial surfaces and agricultural land. In PUAs, artificial surfaces are the dominant landscape type, water bodies exhibit high aggregation and strong connectivity, while agricultural areas, forests and semi-natural areas show high fragmentation. The identification and landscape analysis of PUAs will provide significant insights for urban studies and governmental planning.