Evaluating Human-Centered Accessibility of Open Space in High-Density Cities: A Case Study of Hong Kong

Abstract

城市居民能够方便且平等地享用休憩用地，是评价城市环境可持续性的重要方面。然而目前休憩用地（开放空间）评价往往将人均绿地面积作为核心指标，忽略其实际分布与使用情况，亦较少结合市民实际步行路线或考虑使用者对步行网络的认知。以香港的休憩用地为例，借助三维空间设计网络分析（3D sDNA）技术，基于认知寻路机制模拟行人路线选择，讨论如何评估休憩用地的实际步行可达性。进一步结合人口密度、老龄人口比例、收入水平等社会特征变量，识别休憩用地不足但人口密度较高或弱势群体较多的区域。这一分析框架可为高密度城市中休憩用地的可达性评估提供精细化的量化方法，为基于人本视角与公平性视角的休憩用地规划设计实践提供有力支持。 Ensuring easy and equitable access to open space by all residents is a significant aspect of assessment of urban environmental sustainability. However, the current evaluation of open space often takes the per capita green area as the core indicator, ignoring its actual distribution and use, and rarely considering the users’ actual walking routes or their perception of the pedestrian network. Citing Hong Kong’s open space as a case, this research applies the 3D spatial design network analysis (3D sDNA) technology in the GIS platform to evaluate pedestrian accessibility based on generic human route choice preferences. By combining social characteristic variables such as residential density, elderly population proportion, and income level, it identifies the areas with insufficient open space but high population density or more socially vulnerable groups. This approach provides a refined quantitative method for assessing the accessibility of open spaces in high-density cities, and helps to assist planning and design practices based on a human-centered equity perspective.