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铁路通信信号工程技术 ›› 2022, Vol. 19 ›› Issue (7): 83-86.DOI: 10.3969/j.issn.1673-4440.2022.07.016

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基于移动支付乘车数据的地铁乘客画像分析

张明柱,李 郁,焦景丽   

  1. 北京全路通信信号研究设计院集团有限公司,北京 100070
  • 收稿日期:2021-06-08 修回日期:2022-05-10 出版日期:2022-07-25 发布日期:2022-07-25
  • 作者简介:张明柱(1989—),男,工程师,硕士,主要研究方向:地铁自动售检票、通信系统,邮箱:zhangmingzhu @crscd.com.cn

Analysis of Subway Passenger Profiles Based on Mobile Payment Data

Zhang Mingzhu,  Li Yu,  Jiao Jingli   

  1. CRSC Research & Design Institute Group Co., Ltd., Beijing 100070, China
  • Received:2021-06-08 Revised:2022-05-10 Online:2022-07-25 Published:2022-07-25

摘要: 为更好的为乘客出行做好地铁运营服务工作,为不同的乘客提供差异化服务,以移动支付数据为研究对象,通过对数据进行采集及处理,建立分析模型,从而形成乘客画像。乘客画像为精细化运营管理提供数据支撑,为运营决策提供科学有力的决策依据。

关键词: 乘客画像, 移动支付, 地铁, 运营管理

Abstract: In order to provide better subway operation services for passengers and to provide differentiated services for different passengers, this paper takes mobile payment data as the research object, and establishes an analysis model through data collection and processing, so as to compile consumer profiles for subways. This method provides the data support for more targeted operation management, and provides the scientific and powerful decision-making basis for operation decisions.

Key words: consumer profiling, mobile payment, subway, operation management

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