1.华中农业大学园艺林学学院,武汉 430070
2.湖北省国土测绘院,武汉 430010
3.长江设计集团城市规划与建筑院,武汉 430010
4.农业农村部华中都市农业重点实验室,武汉 430070
黄以墨, E-mail: 571344993@qq.com
李静波, E-mail:jingbol@mail.hzau.edu.cn
收稿:2025-09-15,
纸质出版:2026-01-15
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黄以墨,唐丽雯,熊媛,等.日常生活视角下滨湖区域绿道网络的构形研究[J].华中农业大学学报,2026,45(1):145‐154.
HUANG Yimo,TANG Liwen,XIONG Yuan,et al.Configuration of greenway network in lakeside areas from perspective of daily life theory[J].Journal of Huazhong Agricultural University,2026,45(01):145-154.
黄以墨,唐丽雯,熊媛,等.日常生活视角下滨湖区域绿道网络的构形研究[J].华中农业大学学报,2026,45(1):145‐154. DOI: 10.13300/j.cnki.hnlkxb.2026.01.013.
HUANG Yimo,TANG Liwen,XIONG Yuan,et al.Configuration of greenway network in lakeside areas from perspective of daily life theory[J].Journal of Huazhong Agricultural University,2026,45(01):145-154. DOI: 10.13300/j.cnki.hnlkxb.2026.01.013.
针对当前滨湖绿道普遍存在的与居民日常生活脱节、空间形态单一、功能复合度不足等问题,提出基于日常生活理论视角的“环湖为核、林荫为簇”的绿道网络构形假设。以武汉沙湖滨湖区域为例,构建“点-线-权”的绿道网络构形框架,将交通通勤、商业服务、文化活动与体育健身等日常情景兴趣点(point of interest,POI)作为点要素,满足植被覆盖率标准的林荫道作为线要素,借助UNA工具开展多情景路径模拟与使用频次量化分析。结果显示:研究区域内构形的绿道网络呈现“多簇网状”的复杂结构,约51.49%的道路未与任何生活情景重叠,主要分布于湖区外围。高重叠(≥5类情景)路段仅占总长度的32.46%,说明高频生活走廊在整体绿道网络中比例有限、分布集中,且居民日常高频使用的路径主要由密度高、长度短的内部道路构成。沙湖现状绿道与高频日常路径错位率较高,沙湖现有绿道覆盖约9.3%的日常活动POI,构建的网络将覆盖度提升至约48.76%,显著增强了绿道与居民日常出行链条的耦合程度。
A hypothesis about the configuration of greenway network with “lake-based core and forested clusters” was proposed from the perspective of daily life theory to solve the common problems of the disconnection from daily lives of residents, single form of space, and insufficient complexity of function in current lakeside greenways.The lakeside area of Shahu in Wuhan City was used to construct a “point-line-weight” configuration framework of greenway network.Urban Network Analysis (UNA) tools were used to simulate multi-scenario travel routes, and qualify the usage frequency and accessibility of path by using daily scenario POIs including transportation commuting, commercial services, cultural activities, and sports and fitness as point elements, and tree lined roads that meet standards of vegetation coverage as line elements.The results showed that the greenway network in the studied area had a complex structure of “multi cluster network”, with about 51.49% of the roads not overlapping with any living scenarios, mainly distributed around the periphery of the lake area.High overlap (≥ 5 scenarios) road sections only accounted for 32.46% of the total length, indicating that high-frequency living corridors have a limited proportion and concentrated distribution in the overall greenway network, and the paths commonly used by residents in their daily lives are mainly composed of high-density and short internal roads.The current greenway in the lakeside area of Shahu has a high mismatch rate with high-frequency daily routes.The existing greenway in the lakeside area of Shahu covers about 9.3% of daily activity POIs, and the network constructed has increased the coverage to about 48.76%, significantly enhancing the coupling degree between greenways and daily travel chains of residents.
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