城市道路结构等级与基于手机定位数据的交通流量匹配度分析  

Matching Degree Analysis between Urban Road Structural Hierarchy and Mobile Phone Location Data Based Traffic Flow

作　　者：廖薇薇 何家律 李秋萍 喻言 谭敏 吴仪[3] LIAO Weiwei;HE Jialv;LI Qiuping;YU Yan;TAN Min;WU Yi(School of Geography and Planning,Center of Integrated Geographic Information Analysis,Sun Yat-Sen University,Guangzhou 510275;School of Geography and Planning,Guangdong Key Laboratory for Urbanization and Geo-simulation,Sun Yat-Sen University,Guangzhou 510275;School of Geography and Planning,Sun Yat-Sen University,Guangzhou 510275,China)

机构地区：[1]中山大学地理科学与规划学院综合地理信息研究中心,广东广州510275 [2]中山大学地理科学与规划学院/广东省城市化与地理环境空间模拟重点实验室,广东广州510275 [3]中山大学地理科学与规划学院,广东广州510275

出　　处：《地理与地理信息科学》2018年第2期58-65,共8页Geography and Geo-Information Science

基　　金：国家自然科学基金项目(41501424;41531178);国家自然科学基金优秀青年基金项目(41522104);广东省自然科学基金项目(2016A030310168);武汉大学测绘遥感信息工程国家重点实验室开放基金项目(16S02)

摘　　要：道路网络结构特征及其与交通流的关系对于城市交通流优化具有重要意义。该文利用大规模手机定位数据模拟城市交通流量,利用道路结构综合指标分析道路网络静态结构等级,并研究道路结构等级与实际交通流量之间的全局与局部匹配度,探讨路网静态结构特征对动态交通流的解释能力。最后以上海市外环高速公路以内作为研究区域,对研究方法进行验证,结果表明:道路结构等级的综合指标与交通流量全局匹配度最高可达0.776,相较于单一指标提高了7.3%~26.2%;局部匹配度较低的道路多位于新区或常发生拥堵的区域。研究结论能够为交通规划及改善提供参考。Road network structure characteristics and their relationship with traffic flow are important for urban traffic flow optimization.In this paper,the road traffic flow was estimated using massive mobile phone positioning data and the road network structural hierarchy was analyzed with a comprehensive indicator based on complex network by integrating betweenness centrality,degrees centrality,closeness centrality,and length of street strokes.Then the global and local matching degrees between road network structural hierarchy and traffic flow were calculated.Finally,the area inside Shanghai Outer Ring Expressway was taken as the study area to explore the capability of road network structural hierarchy in explaining dynamic traffic flow.The result shows that:1)the global matching degree between comprehensive indicator and traffic flow can reach 0.776,which is 7.3%~26.2%higher than that of any single indicator;2)roads with low local matching degree tend to be located in newly developed areas or areas where jam is frequent.These results can provide suggestions to city planners for transportation planning and improvement.

关 键 词：手机数据 道路结构 交通流量 复杂网络 

分 类 号：P208[天文地球—地图制图学与地理信息工程]