Suitability Evaluation of Urban Construction Land in Jinan City Based on AHP and Moving Window Methods
基于层次分析和移动窗口方法的济南市建设用地适宜性评价

Cities have developed rapidly since the industrial revolution, expanding worldwide in conjunction with socioeconomic development. However, the rapid growth of urban areas has led to complex problems, including traffic congestion, environmental pollution, reduced open space, and unplanned or poorly planned land development. It is necessary to address these urban problems and to identify approaches for sustainable development. The suitability evaluation of urban construction land is useful when optimizing land use in urban areas. In this paper, construction land suitability in Jinan City was evaluated using GIS and remote sensing (RS). Land use characteristics in 2004 and 2009 were captured based on high resolution remote sensing images of SPOT and ALOS. Then, the PLAND landscape metric of the built-up area was obtained using the Moving Windows method (MW). Multi-criteria decision making is primarily concerned with how to combine the information from several criteria to form a single index of suitability evaluation. Three types (environmental ecology, accessibility and landform) and seven criteria including vegetation, water, road accessibility, PLAND landscape metric of built-up area, distance from urban center, slope and relief degree of land surface were selected to form the single index of suitability evaluation. The weight of each criterion was calculated using the Analytical Hierarchical Analysis (AHP) method. The study area was zoned into five classes based on the degree of suitability evaluation in 2004. The reliability of the results was evaluated using the land use type map for 2009. The GIS-based AHP-MW tool developed in this study is simple, spatial, and flexible. It supplies more immediate feedback to evaluators, is easier for non-experts to understand, and provides a mechanism to explore the decision problem while learning how changes in criteria weights affect evaluation outcomes spatially and quantitatively.