Advancements in remote sensing techniques and urban data analysis tools have enabled the successful monitoring and detection of green spaces in a city. This study aims to develop an index called the urban green accessibility (UGA) index, which measures people’s accessibility to green space and represents the citywide or local characteristics of the distribution pattern of green space. The index is defined as the sum of pedestrians’ accessibility to all vegetation points, which consists of the normalized difference vegetation index (NDVI) with integration and choice values from angular segment analysis. In this study, the proposed index is tested with cases of New York, NY, and San Francisco, CA, in the US. The results reveal differences based on the significance of streets. When analysis ranges are on a neighborhood scale, a few hotspots appear in well-known green areas on commonly accessible streets and in local neighborhood parks on residential blocks. The appearance of high-accessibility points in low-NDVI areas implies the potential of the efficient and proper distribution of green spaces for pedestrians. The proposed measure is expected to help in planning and managing green areas in cities, taking people’s accessibility and spatial relationships into consideration.

中文翻译：

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城市绿色无障碍指数：一种以行人为中心的对城市每个绿点的无障碍测量

遥感技术和城市数据分析工具的进步使成功监控和检测城市中的绿色空间成为可能。这项研究旨在建立一个称为城市绿色可及性（UGA）的指数，该指数用于衡量人们对绿色空间的可及性，并代表整个城市或地方绿色空间分布格局的特征。该指数定义为行人对所有植被点的可达性之和，包括归一化差异植被指数（NDVI），积分和角度段分析的选择值。在这项研究中，建议的索引是在美国纽约州纽约市和加利福尼亚州旧金山市进行测试的。结果揭示了基于街道意义的差异。当分析范围在邻域范围内时，一些热点出现在通俗易懂的街道上著名的绿色区域以及居民区的当地社区公园中。在低NDVI区域中出现高可及性的点意味着行人可以有效而适当地分配绿色空间。考虑到人们的可及性和空间关系，预计拟议的措施将有助于规划和管理城市的绿地。