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基于大数据平台的铁路旅客群体分析应用研究
引用本文:吕晓艳,刘彦麟,单杏花,李仕旺.基于大数据平台的铁路旅客群体分析应用研究[J].铁路计算机应用,2016,25(9):28-30.
作者姓名:吕晓艳  刘彦麟  单杏花  李仕旺
作者单位:中国铁道科学研究院 电子计算技术研究所,北京 100081
基金项目:中国铁道科学研究院科研专项课题(研发中心)(J2016X005)。
摘    要:任何企业都无法吸引市场中所有的客户,至少不能以相同的方式吸引所有客户1]。大数据技术关于要全体不要抽样,要效率不要绝对精确,要相关不要因果的处理数据理念2],在很大程度上为企业进行用户群体分析提供了有力的技术基础。本文基于铁路客运大数据平台,对铁路旅客进行群体分析,研究群体分析的应用,以期实现对客运产品与服务的优化调整,从而提升铁路客运市场优势。铁路换乘旅客群体分析案例的结果表明,群体分析对于指导铁路客运管理与组织优化调整效果良好。

关 键 词:旅客运输    大数据    群体分析
收稿时间:2016-06-15

Application research on railway passenger group analysis based on big data platform
Affiliation:Institute of Computing Technologies, China Academy of Railway Sciences, Beijing 100081, China
Abstract:Any enterprise cannot attract all the customers in the market, at least not in the same way to attract all customers. The data processing concept of big data technologies, that is about focusing on the whole, efficiency and relevant, not on the sampling, absolute accuracy, cause and effect, etc., provides a strong technical foundation in passenger group analysis. Based on the big data platform of railway passenger transport, this article analyzed the group of railway passengers, studied on the application of group analysis, in order to implement the optimization and adjustment of passenger transportation products and services, enhance railway passenger market advantage. The result of transfer passenger group analysis indicated that it was good for guiding the management, organization, optimization and adjustment of railway passenger transport.
Keywords:
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