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基于EM算法与Gauss混合模型的地铁站点类型分析 被引量:1
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作者 韩荔 李想 曾险峰 《都市快轨交通》 北大核心 2022年第1期70-78,86,共10页
结合成都地铁2019年5月工作日的AFC数据,利用EM算法(expectation-maximum algorithm)与Gauss混合模型,分析成都市156个轨道站点客流曲线的特征差异,并结合平方和误差将其聚类为居住导向型、就业导向型、职住错位型、错位偏居住型、错位... 结合成都地铁2019年5月工作日的AFC数据,利用EM算法(expectation-maximum algorithm)与Gauss混合模型,分析成都市156个轨道站点客流曲线的特征差异,并结合平方和误差将其聚类为居住导向型、就业导向型、职住错位型、错位偏居住型、错位偏就业型、交通枢纽型、综合型7种不同类型的地铁站,最后分析不同类型地铁站的区域分布及土地性质。研究表明,不同类型站点分布具有区域性,站点类型随着到城市中心距离的增加而减少,中心区站点类型更多样,可体现城市功能区域时空差异的表现形式,提供城市空间进行研究的新视角,有助于了解城市功能的空间分布,为未来城市及交通规划提供依据。 展开更多
关键词 地铁站点 客流特征 AFC数据 EM算法 Gauss混合模型 城市功能分布
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The Scale-Effects of Different Land Use Types on the Distribution Pattern of Park Green Space at Multiple Grid Scales-A Case Study on the Main Urban Area of Nanjing,China
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作者 Jialing QIAN Dawei SHAO Wei JIANG 《景观设计学(中英文)》 CSCD 2024年第5期7-19,共13页
Exploring the scale-effect of different land use types on the distribution pattern of urban park green space(PGS)at multiple grid scales would inform rational allocation and efficient collaborative construction of urb... Exploring the scale-effect of different land use types on the distribution pattern of urban park green space(PGS)at multiple grid scales would inform rational allocation and efficient collaborative construction of urban development land at different scales.Selecting 300-m,500-m,1,000-m,and 2,000-m grid scales,the research employed Create Fishnet tool in ArcGIS and Geodetector to construct a scale-effect analysis framework that revealed the scale-effects of different land use types on the distribution pattern of PGS at multiple grid scales in the main urban area of Nanjing,China in 2006,2012,and 2017.Main research results are:1)the overall distribution pattern of PGS showed the evolution characteristics from polarization to advancing quality and efficiency,while the trend gradually weakened with the increase of grid scale;2)the scale-effect of other land use types on PGS increasingly enhanced-the larger the grid scale,the more obvious the synergistic or compressive effect;3)the interactive scaleeffects of different land use types gradually enhanced-the larger the grid scale,the more significant the overall factor interaction;and 4)at the 300-m grid scale,the major interaction factors were residential,transportation,industrial/manufacturing,water area,and administration/public services,which gradually changed to residential,water area,and administration/public services up to the 2,000-m grid scale.The findings of this paper are expected to deepen the theory of the coupling between PGS and other land use types,as well as provide scientific support and a basis for efficient allocation,spatial layout optimization,and sustainable development of urban spaces. 展开更多
关键词 Urban Development Land Park Green Space Distribution Pattern Scale-Effect Main Urban Area of Nanjing Geodetector
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