基于街景图像的呼和浩特市中心城区街道绿视率分析

Green Visibility Analysis of Streets in Central Hohhot City Based on Street Green Vision Rate

城市绿色空间对居民生活品质至关重要,城市街道绿化是其中的关键,直接影响居民生活和城市生态。绿视率是评估街道绿化状况的重要指标,能够有效地衡量街道绿化的可见性和质量。本研究利用百度街景图像数据和深度学习方法,计算每条道路的平均绿视率,分析道路绿视率的空间分布特征及数值分布情况,对研究区街道绿化水平进行评价。研究表明:呼和浩特市中心城区街道绿视率在空间分布上呈现出明显的中心–边缘格局,整体绿化水平较好,后续的街道绿化提升工作应重点关注城市中心区域。

Urban green space is very important to residents' quality of life, and urban street greening is the key, which directly affects residents’ lives and urban ecology. The green vision rate is an important index to evaluate the status of street greening, which can effectively measure the visibility and quality of street greening. This study used Baidu Street View image data and deep learning method to calculate the average green vision rate of each road, analyze the spatial distribution characteristics and numerical distribution of the street green vision rate, and evaluate the street greening level in the study area. The results show that the spatial distribution of street green vision rate in the downtown of Hohhot presents an obvious center-to-edge pattern, and the overall greening level is good. The subsequent street greening improvement work should focus on the urban center area.