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基于出行链的OD扩样方法研究
引用本文:冉江宇,过秀成,何小洲.基于出行链的OD扩样方法研究[J].交通运输工程与信息学报,2010,8(2):37-42.
作者姓名:冉江宇  过秀成  何小洲
作者单位:东南大学,交通学院,南京210096
摘    要:现状OD出行矩阵是分析城市居民现状出行特征的基础,也是未来出行分布模型标定的基础.本文借鉴出行链的理论研究成果,按照出行链的主要个体影响因素对不同属性的抽样数据分别进行扩样,在一定程度上消除了传统扩样方法的弊端,也提高了扩样过程的可理解性.同时,为保证该扩样方法具有可实施性,文中提出了构建城市街道的GIs平台、改进抽样方法、构建扩样系统和统一调研时间等四项措施,旨在进一步增加不同样本类别间抽样率的差别,提高扩样结果的质量.文章结尾进一步说明该方法在运用过程中需要同时注重出行链成果的更新和相应数据库的建立.

关 键 词:出行链:抽样方法  分类扩样  GIS平台  统计理论  扩样系统

Research of the OD Extension Method Based on Trip Chain
RAN Jiang-yu,GUO Xiu-cheng,HE Xiao-zhou.Research of the OD Extension Method Based on Trip Chain[J].Journal of Transportation Engineering and Information,2010,8(2):37-42.
Authors:RAN Jiang-yu  GUO Xiu-cheng  HE Xiao-zhou
Institution:( Transportation College, Southeast University, Nanjing 210096, China)
Abstract:The current OD distribution matrix is the basis not only for analyzing the residents' trip characteristics, but also for calibrating the distribution predict model parameters in urban transportation planning. With reference to the existed trip chain theory, this paper proposed a sampling expansion method for the data of different attributes according to the particular individual factors affecting the trip chain. This method reduced the disadvantages of the traditional sampling expansion methods to some extent, and improved the understandability also. Meanwhile, to ensure the feasibility of implementation of the proposed method, four measures including the construction of the communities' GIS platform, the improvement of the sampling method, the construction of data expansion system and the end, the the unification of investigation periods were put forward for the aim sampling ratio of different groups and improving the quality of th this paper emphased the importance of updating the research result construction of related database systems. of distinguishing e results. In the of trip chain and the construction of related database systems.
Keywords:Trip chain  sampling method  classified extension  GIS platform  statistical theory  extension system
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