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| 数据驱动道路绿化：基于街景的多维
品质评估 |
| 耿佳慧,翟俊* |
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| 作者简介：耿佳慧
2001年生/女/河南郑州人/苏州大学建筑学院在读硕士研究生/研
究方向为风景园林规划与设计(苏州 215123) |
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| 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。 |
| 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 |
| DOI：10.19775/j.cla.2024.09.0104 |
| 投稿时间：2023-08-05修订日期：2024-01-09 |
| 基金项目: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) |
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| Data-driven Urban Road Greening Planning: MultidimensionalQuality Assessment and Optimizationby Incorporating Street View Data摘 要 |
| GENG Jiahui,ZHAI Jun |
| Abstract: |
| 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. |
| Key words: landscape architecture green view index NDVI network accessibility urban road space greening quality |
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