基于公共交通卡数据的城市轨道交通大事件影响分析模型

颜彦文1刘婵2江渝3徐文洁4

Analysis Model of Urban Rail Transit Important Event Impact Based on Public Transportation Card Data

YAN YanwenLIU ChanJIANG YuXU Wenjie
摘要:
利用基于公共交通卡数据的城市轨道线网客流数据进行反演的模型与算法,对大事件发生前后线网各站点的客流存量进行了分析和重构。反演得到的客流数据可以客观反映大事件的发生随时间变化对发生站点和邻近站点的影响。在此基础上,定义了城市轨道交通线网每个站点的大事件影响因子。该影响因子可以比较客观地反映大事件对各个站点的影响程度。实证分析证明了基于公共交通卡数据的城市轨道交通大事件影响分析模型的可靠性和有效性。
Abstracts:
Model and algorithm deduced from urban rail line network passenger flow data based on public transportation card are adopted to analyze and reconstruct the passenger flow stock at each station before and after important events. The retrieved passenger flow data can reflect objectively how the impact of important event on the station where it occurred and the neighboring stations evolved over time. On this basis, the impact factors of important event at each station in urban rail transit line network are defined, which reflect objectively at what level the important event is influencing each station. The empirical analysis has shown the reliability and effectiveness of the impact analysis model of urban rail transit important event based on public transportation card data.
引文 / Ref:
颜彦文,刘婵,江渝,等.基于公共交通卡数据的城市轨道交通大事件影响分析模型[J].城市轨道交通研究,2020,23(7):108.
YAN Yanwen,LIU Chan,JIANG Yu,et al.Analysis Model of Urban Rail Transit Important Event Impact Based on Public Transportation Card Data[J].Urban mass transit,2020,23(7):108.
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