Pairwise comparative evaluation framework.

Rapid global urbanization has made brownfield reuse a vital issue for sustainable urban development. However, the regeneration of brownfield landscapes is a complex and lengthy process that requires a combination of factors to be considered. Their landscape regeneration must be planned and prioritized to utilize brownfield sites and achieve positive social benefits. Therefore, an urgent need must be established to establish an assessment framework and system for various types of brownfield landscape regeneration dominant factors to find different brownfield landscape regeneration dominant factors. This research developed an assessment model using the Analytic Hierarchy Process (AHP), covering five brownfield types: industrial, mining, military, transportation, and landfill in Xi’an, China. The potential assessment factors in three levels were analyzed for weighting to explore the dominant factors for the potential regeneration of brownfield landscapes in Xi’an. The results showed that, firstly, among the five first-level assessment factors, the physicality factor was the most important. Secondly, among the 16 second-level factors, the spatial and physical features of the visual landscape were the most critical. Finally, among the 40 three-level factors, spatial features were the primary factor. Therefore, the purpose of this research is to provide a specific assessment system and data analysis methods and ideas for the dominant factors of urban brownfield landscape regeneration in China and other regions based on the assessment framework with strong adaptability proposed by the AHP method, which can be flexibly adapted in the different areas and countries, to realize the sustainable development of cities in various regions.

全球快速城市化使得棕地（brownfield）再利用成为可持续城市发展的关键议题。然而，棕地景观再生是一项复杂且耗时的系统工程，需综合考量多维度影响因素。需对棕地景观再生进行科学规划与优先级排序，以高效盘活棕地地块并实现正向社会效益。因此，亟需构建一套针对不同类型棕地景观再生主导因素的评估框架与体系，以精准识别各类棕地景观再生的核心影响因子。本研究采用层次分析法（Analytic Hierarchy Process，简称AHP）构建评估模型，以中国西安的五类棕地为研究对象，分别为工业棕地、矿业棕地、军事棕地、交通棕地及填埋场棕地。研究针对三级潜在评估因子展开权重分析，以探究西安市棕地景观潜在再生的主导影响因素。研究结果显示：其一，在五大一级评估因子中，物理属性因子占据最为核心的地位；其二，在16项二级评估因子中，视觉景观的空间与物理特征为最关键的影响维度；其三，在40项三级评估因子中，空间特征为首要影响因素。综上，本研究旨在基于层次分析法构建的高适配性评估框架，为中国及全球其他地区的城市棕地景观再生主导因子识别提供一套可落地的评估体系、数据分析方法与研究思路，该框架可灵活适配不同区域与国家的实际场景，最终助力各地区城市实现可持续发展。