项目名称: 城市道路网络空间结构对出行行为的影响研究
项目编号: No.41271408
项目类型: 面上项目
立项/批准年度: 2013
项目学科: 天文学、地球科学
项目作者: 陆锋
作者单位: 中国科学院地理科学与资源研究所
项目金额: 80万元
中文摘要: 城市道路网络是城市公众出行活动的重要载体。城市道路网络的空间分布和拓扑格局等空间结构特征对公众出行过程中的路径选择行为具有显著影响。然而,这种路径选择行为同时还受到交通状态和个体对城市道路网络空间结构的认知差异等因素的影响,使得传统的交通分析和空间认知过程研究难以实现道路网络空间结构对出行者路径选择行为影响的定量化。本申请课题拟突破传统的理论研究框架,引入网络拓扑特征定量化分析方法,在拓扑空间下刻画城市路网结构特征,更全面地认知城市道路网络的空间结构,并利用海量出行轨迹数据中所提取的大样本真实出行行为数据,挖掘出行者路径选择的倾向性,识别群体出行模式,揭示城市道路网络空间结构对出行行为的潜在影响,并在此基础上提出自适应路径诱导策略,为优化公众出行服务提供理论依据和技术支持。
中文关键词: 路网结构;出行路径选择行为;复杂网络;数据挖掘;浮动车数据
英文摘要: The spatial structure of city road networks has great effects on the individual's path selection decision during daily travelling. But individual's path selection decision is also influenced by real-time traffic situation and individual's cognition difference on the morphology and structure knowledge of city road network.It makes it extremely difficult to uncover the effects of the spatial structure of city road network on individual's path selection decision from the spatial reorganization perspective or traffic analysis. To overcome the shortage in current researches, we try to introduce the topological analysis methodology for understanding city road network by characterizing the city road network structure within a topological space. Meanwhile, large samples based statistical analysis will be used with real path selection data obtained from massive trajectory data to recognize the behavior pattern on path selection during travelling. An insight of the hidden impact of the spatial structure of city road network on human mobility can be got from the characterization on the behavior patterns. In addition, we will provide a self-adjusting route planning strategy to cut downe the traveling cost for individual traveler based on the traveling demand as well as the spatial structure of city road network. The resear
英文关键词: road network structure;route choice behavior;complex network;data mining;;big data