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基于空间相关性分析的路网评价区域划分方法 被引量:6

Spatial Autocorrelation Theory-based Road Network Regional Division
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摘要 为提高路网运行状态评价的科学性和有效性,研究定义了交通网格的概念,以交通网格为基本要素,重新定义了城市道路交通网络,提出了基于空间相关性分析的路网评价区域划分方法.该方法考虑了相邻区域单元之间的空间相关性和相互影响,提高了评价区域划分的科学性,最后,以多源交通数据为基础,实现了路网评价区域的确定与划分,对科学描述路网运行状态的变化特征与掌握路网运行质量影响规律有重要意义. To improve the reliability of macroscopic road network evaluation, this paper studies road network rigional division methods, proposes the traffic grid definition of road network, and then redefines the urban road network by taking the traffic grids as basic elements. The spatial autocorrelation theory- based road network regional division method is proposed by analyzing the characteristics of road network operation. This modified method can reflect the influence between adjacent regional units, and improve the reliability of road network regional division. Finally, this research takes Beijing as a case, and divides the road network into regional units based on multi-source traffic data. Result shows that it is useful for scientifically describing the fluctuation and evolution of road network operation status.
出处 《北京工业大学学报》 EI CAS CSCD 北大核心 2012年第4期564-569,共6页 Journal of Beijing University of Technology
基金 国家科技支撑计划基金资助项目(2006BAG01A01)
关键词 智能运输系统 区域划分 空间自相关 城市路网 路网评价 intelligent transport system regional division spatial autocorrelation urban road network operation evaluation
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参考文献9

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