Mapping trade-offs among urban fringe land use functions to accurately support spatial planning.

Abstract

The land use planning and management of urban fringe areas have become major governmental agendas under the background of continuing periurbanization processes. Quantifying land use functions (LUFs) and their interactions as rationales for spatial planning can aid in formulating a more effective and sustainable land use management system. Considering that most of the previous research on LUFs focused on large-scale regions, research on local-scale districts such as urban fringe is still limited. Therefore, the objective of this work is to map the spatial distribution of LUFs and their level of provision around an urban fringe area, so as to identify LUFs synergies and trade-offs in relation to urban expansion and environmental protection planning. To achieve this target, we have proposed an improved LUFs classification system that was suitable for small-scale regions. Fine scale multivariate datasets were used to meet the practical requirements of spatial planning. The urban fringe areas of Binzhou city in China was taken as a case study to quantify and analyze nine kinds of sub-land use functions. The interactions among LUFs and their cold-hot spots were measured through Spearman correlation analysis and bivariate local Moran s I respectively. The results demonstrated a heterogeneous spatial pattern of multiple LUFs and the diverse interactions among them. The social production function presented an obvious regional distribution, the residents living functions were greatly affected by the radiation of the urban central areas, and the ecological regulation functions were closely related to the land use types. According to the LUFs clustering results, we proposed two spatial planning-zoning schemes based on the land use function and human utilization intensity. The integrative approach and the proposal of functional zones developed in this paper are applicable to provide a new perspective for spatial planning and peri-urban land use management.