基于多年份街景图像对大理古城街道绿视率提升设计策略研究  

Research on the Design Strategy for Improving the Green View Ratio of Streets in Dali Ancient City Based on Multi-year Street View Images

作　　者：张春明[1] 许姁 王招鑫 赵党书[3] 万凡[4] ZHANG Chunming;XU Xu;WANG Zhaoxin;ZHAO Dangshu;WAN Fan

机构地区：[1]云南艺术学院 [2]邵阳职业技术学院 [3]昆明理工大学 [4]云南艺术学院设计学院

出　　处：《城乡规划》2024年第4期94-102,共9页Urban and Rural Planning

基　　金：国家社会科学基金艺术学重大项目“信息时代智能化设计创新方法论研究”子课题“绿色IT的可持续发展与生物多样性的智能化保护”阶段性成果(项目编号:2022ZDG069)。

摘　　要：文章以绿视率作为评价指标,探讨如何通过提升街道和公共空间的绿视率,达到改善城市生态环境、提升居民心理健康与生活质量的目的。选定云南省大理古城作为研究区域,分析古城绿视率的现状、变化趋势,探究其绿视率影响因素并提出优化策略。研究采用量化分析方法,对大理古城2016年与2020年的街道绿视率进行对比评价,同时利用深度学习全卷积网络技术,对街景图像中的树、草和其他植物进行语义分割,实现绿视率的精确量化。研究结果表明,2016—2020年,大理古城街道的平均绿视率有所下降,绿化水平未能达到预期目标。通过进一步分类对比分析,揭示街道宽度、绿化形式、建筑特色等因素对绿视率的影响。最后结合大理古城的具体情况,提出一系列改进绿化的措施,可有效提升城市绿视率,增强城市生态环境和文化特色。This study uses green view ratio(GVR) as an evaluation indicator to explore how to increase the green view ratio of streets and public spaces, enhancing the urban ecological environment, as well as the mental health and quality of life of residents. Dali Ancient City in Yunnan Province is selected as the research area to analyze the current status and trends of GVR in the ancient city, investigate the influencing factors of GVR, and propose optimization strategies. The article employs a quantitative analysis approach, conducting a comparative evaluation of the street GVR in Dali Ancient City in 2016 and 2020. Utilizing deep learning-based fully convolutional network technology, the study semantically segments trees, grass, and other vegetation in street view images to accurately quantify the GVR. The study indicates a decline in the average GVR of streets in Dali Ancient City from 2016 to 2020, suggesting that the greenery level has not reached the expected targets.Further comparative analysis reveals the impact of street width, greening forms, and architectural features on the GVR. In light of the specific context of Dali Ancient City, a series of greening improvement measures are proposed, expected to effectively enhance the urban GVR and enrich the ecological environment and cultural identity of the city.

关 键 词：多年份 街景图像 绿视率 设计策略 

分 类 号：TU984[建筑科学—城市规划与设计]