文章摘要
顾康康,马璐瑶,汤晶晶,徐健.基于改进Ga2SFCA的合肥市城市公园绿地可达性与影响机制研究[J].安徽建筑大学学报,2024,32(1):10-18,26
基于改进Ga2SFCA的合肥市城市公园绿地可达性与影响机制研究
Research on Accessibility and Impact Mechanism of Urban Park Green Space in Hefei City Based on Improved Ga2SFCA
  
DOI:
中文关键词: 城市公园绿地  可达性  改进的Ga2SFCA模型  影响机制
英文关键词: urban park green space  accessibility  improved Ga2SFCA model  influence mechanism
基金项目:安徽省自然科学基金项目(2008085ME160);安徽省高校省级自然科学研究项目-研究生项目(YJS20210500)
作者单位
顾康康 安徽建筑大学 建筑与规划学院安徽 合肥 230601安徽省国土空间规划与生态研究院安徽 合肥 230022 
马璐瑶 安徽建筑大学 建筑与规划学院安徽 合肥 230601 
汤晶晶 安徽建筑大学 建筑与规划学院安徽 合肥 230601 
徐健 安徽建筑大学 建筑与规划学院安徽 合肥 230601 
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中文摘要:
      城市公园绿地合理供给是城市生态和民生福祉的重要保障。以合肥市区为例,提出改进的Ga2SFCA探究不同类型公园绿地的可达性特征及其成因,并运用地理加权回归模型进一步解析公园绿地可达性的影响机制。研究发现:1)改进的Ga2SFCA模型计算的可达性结果在强度和空间分布上较传统模型更加贴合实际;2)公园绿地总体可达性呈现“南高北低”的空间结构特征,以城市中心区为核心向四周递减;3)各类型公园绿地可达性存在较大差异:综合公园和专类公园的可达性空间分布优于街头游园和社区公园;4)自然特征、区位特征、社会经济和建成环境四方面因素的不同导致公园绿地可达性空间差异显著,各因子影响程度依次为:商业区位>中心区位>交通可达>生活便利>居住人口。
英文摘要:
      The reasonable supply of urban park green space is important for urban ecology and people's well-being. Taking Hefei city as an example, an improved Ga2SFCA was proposed to explore the accessibility characteristics and causes of different types of park green spaces, and the GWR model was used to analyze the influence mechanism of accessibility. It was found that the accessibility calculated by the improved Ga2SFCA model were more realistic in terms of intensity and spatial distribution than the traditional model. The overall accessibility of the park green space was high in the south and low in the north,and the accessibility value decreased from the city center to the surrounding area. There were large differences in the accessibility of various types of parks: the spatial distribution of comprehensive parks and specialized parks was better than that of street gardens and community parks. The four factors, namely natural characteristics, location characteristics, socio-economy and built environment, led to significant spatial differences in park green space accessibility, and the factors of influence in descending order was commercial location, central location, transportation accessibility, living convenience, residential population.
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