数据驱动道路绿化:基于街景的多维品质评估  

Data-driven Urban Road Greening Planning: Multi-dimensional Quality Assessment and Optimization by Incorporating Street View Data

作　　者：耿佳慧 翟俊[1,2,3] GENG Jiahui;ZHAI Jun

机构地区：[1]苏州大学建筑学院,苏州215123 [2]苏州大学空间规划研究院,苏州215123 [3]美国伊思特苏州景观城市设计公司

出　　处：《中国园林》2024年第9期104-109,共6页Chinese Landscape Architecture

基　　金：苏州大学—苏州园科生态建设集团有限公司协同创新中心共建项目(P113800618)。

摘　　要：旨在通过人本视角和品质提升来改善城市设计和政策中的道路绿化品质。选取苏州主城区48个街道,采用道路平均NDVI、PGVI及日常活动网络可达性3个指标进行城市道路绿化品质的多维度评估,并筛选具有高网络可达性且低绿量的道路。进一步对3类低绿化品质道路进行绿化布局与设计成因分析。结果表明,通过提高道路邻近绿量和通透性、增加人行道和车道的绿化面积、转换视角创造立体绿化空间等措施,可以有效提高城市道路绿化品质。研究成果可为城市绿化规划设计提供有益参考。This study aims to improve the green quality of urban design and policies from a human perspective and through quality enhancement. A total of 48 streets in the main urban area of Suzhou were selected for multi-dimensional evaluation of urban road greening quality using three indicators: average NDVI, PGVI, and daily activity network accessibility. The study screened for roads with high network accessibility but low green coverage and further analyzed the causes of the green layout and design for the three types of low-green-quality roads. The results showed that the green quality of urban roads could be effectively improved by increasing the adjacent green coverage and permeability, increasing the green area of sidewalks and lanes, and creating three-dimensional green spaces by changing perspectives. These research findings provide useful references for urban greening planning and design.

关 键 词：风景园林 绿视率 NDVI 网络可达性 城市道路空间 绿化品质 

分 类 号：TU986[建筑科学—城市规划与设计]