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基于主成分分析的城市空间形态与公交发展协调性研究 被引量:4

Coordination between urban spatial form and public transport development based on principal component analysis
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摘要 为研究城市空间形态与城市公交系统发展模式的协调程度,对其进行定量评价。利用传统的主成分分析(PCA)方法计算城市空间形态和公交发展2个系统的综合评价指数。用模糊数学方法计算2个系统间的协调指数。以系统内部的实际协调值与理想协调值的相关性为局部信息,以系统间的协调值的方向性为全局信息,提出了构建权重的方法。以常州市为例,分析了2个系统间的协调性。实验结果验证了2个系统间的互相影响关系,认为交通方式的改变引导着城市空间形态的形成与发展。 The coordination between the urban spatial form and the development mode of urban public transportation system is quantitatively evaluated here. The comprehensive evaluation index of urban spatial form and public transport development is calculated by the traditional principal component analysis(PCA)method. The coordination index between the two systems is calculated using fuzzy mathematics. The correlation between actual and ideal coordination values in the system is regarded as local information,and the directions of the coordination values between systems are regarded as global information,and a method constructing weight is proposed. Taking Changzhou city for example,the coordination between the two systems is analyzed. The experimental results demonstrate the mutual influence between the two systems and point out that the improvement of transportation mode guides the formation and development of urban spatial form.
作者 朱丽 陈峻 何鹏 Zhu Li;Chen Jun;He Peng(School of Transportation,Southeast University,Nanjing 210096,China;JSTI Group Co.,Ltd.,Nanjing 210019,China;Nanjing Academy of Urban Planning and Design Co.,Ltd.,Nanjing 210002,China)
出处 《南京理工大学学报》 EI CAS CSCD 北大核心 2019年第3期353-362,共10页 Journal of Nanjing University of Science and Technology
基金 国家自然科学基金(51238008)
关键词 主成分分析 城市空间形态 城市公交系统 协调性 模糊数学 principal component analysis urban spatial form urban public transportation system coordination fuzzy mathematics
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