State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
Int J Environ Res Public Health. 2018 Jun 29;15(7):1367. doi: 10.3390/ijerph15071367.
Street greenery, an important urban landscape component, is closely related to people’s physical and mental health. This study employs the green view index (GVI) as a quantitative indicator to evaluate visual greenery from a pedestrian’s perspective and uses an image segmentation method to calculate the quantity of visual greenery from Tencent street view pictures. This article aims to quantify street greenery in the area within the sixth ring road in Beijing, analyse the relations between road parameters and the GVI, and compare the visual greenery of different road types. The authors find that (1) the average GVI value in the study area is low, with low-value clusters inside the third ring road and high-value clusters outside; (2) wider minor roads tend to have higher GVI values than motorways, major roads and provincial roads; and (3) longer roads, except expressways, tend to have higher GVI values. This case study demonstrates that the GVI can effectively represent the quantity of visual greenery along roads. The authors’ methods can be employed to compare street-level visual greenery among different areas or road types and to support urban green space planning and management.
街道绿化作为城市景观的重要组成部分，与人们的身心健康密切相关。本研究采用绿色视景指数（GVI）作为定量指标，从行人视角评估视觉绿化，并利用图像分割方法从腾讯街景图片中计算视觉绿化的数量。本文旨在量化北京六环以内地区的街道绿化，分析道路参数与 GVI 的关系，并比较不同道路类型的视觉绿化。研究结果表明：（1）研究区域的平均 GVI 值较低，三环路以内低值聚集，三环路以外高值聚集；（2）较宽的次要道路的 GVI 值高于高速公路、主要道路和省级道路；（3）除了高速公路外，较长的道路的 GVI 值较高。该案例研究表明，GVI 可以有效地表示道路沿线的视觉绿化数量。研究人员的方法可用于比较不同地区或道路类型的街道层面视觉绿化，并为城市绿地规划和管理提供支持。
