A GIS-based quantitative geo-environmental evaluation for land-use development in an urban area: Shunyi New City, Beijing, China

摘要

Urbanization is considered high priority in China. The present study focuses on a novel Geographical Information System-based approach to quantitatively assess the geo-environmental conditions for sustainable land-use development of an urban area. Fuzzy theories with analytic hierarchy processes are the most commonly used tools for land-use suitability evaluation. In fuzzy theories, a pattern recognition model is one of the tiny minority of models which can quantify the result. However, the key challenge is to provide each influencing factor with a quantitative value and selecting an approriate model to calculate the site's adaptability for different infrastructures. The present study first proposes an approach coupling geostatistical analysis with three-dimensional visualizing technology to establish a reliable geological structural and high-precision informative geotechnical model to comprehensively understand the subsurface conditions of the research area. Then, an approach which uses an improved fuzzy pattern recognition method combining reliable geotechnical parameters to evaluate the geological environment is conducted. The weighting of each influencing factor in the final result is determined by an analytic hierarchy process. Finally, a zoning map of site adaptability is formed in the Geographical Information System for guiding land-use development. The study area is one of the most promising areas for urban and economic as well as airport developments in China, which is located on the northeast of Capital Beijing. This area may face several geo-environmental problems that will limit its suitability for infrastructure projects. The resultant models demonstrate the appropriate application of the presented methodologies. The quantified evaluation of the geo-environment could be combined with other conditions to provide decision-makers with improved reasonable land-use suitability scenarios.