运筹与管理 ›› 2021, Vol. 30 ›› Issue (3): 165-170.DOI: 10.12005/orms.2021.0091

• 应用研究 • 上一篇    下一篇

基于DEA-博弈论模型的铁路电子车票实名制查验评价分析

姚佼1, 唐庆云1, 陈学敏2, 郭晓峰3, 熊杨辉4   

  1. 1.上海理工大学 管理学院, 上海 200093;
    2.上海铁路监督管理局, 上海 200071;
    3.中国国家铁路集团有限公司, 北京 100844;
    4.中国铁路南昌局集团有限公司, 江西 南昌 330002
  • 收稿日期:2020-05-07 出版日期:2021-03-25
  • 作者简介:姚佼(1982-), 男, 山西芮城人, 副教授, 博士, 主要研究方向为铁路客运监管, 交通系统工程; 唐庆云(1995-), 女, 江西南昌人, 硕士生, 主要研究方向为铁路客运市场监管, 交通运输工程。
  • 基金资助:
    上海市社科规划一般课题(2020BGL013)

Evaluation and Analysis of the Real-name Check of Railway Electronic Ticket Based on DEA-Game Theory Model

YAO Jiao1, TANG Qing-yun1, CHEN Xue-min2, GUO Xiao-feng3, XIONG Yang-hui4   

  1. 1. Business School, University of Shanghai for Science and Technology, Shanghai 200093, China;
    2. Shanghai Railway Administration, Shanghai 200071, China;
    3. China State Railway Group Co., Ltd., Beijing 100844, China;
    4. China Railway Nanchang Group co., Ltd., Nanchang 330002, China
  • Received:2020-05-07 Online:2021-03-25

摘要: 将基于数据包络分析(DEA)模型和纳什讨价还价博弈论结合, 作为一种合作博弈方法, 对铁路电子车票实名制的查验进行了综合评价, 为准确评估铁路电子车票实名制查验的效率, 加强铁路客运服务水平提供决策判断。本文以20个不同等级的铁路车站为研究对象, 分人工和机器两大类, 选取身份证购票比例、通勤员工购票比例、临时身份证购票比例, 以及人工查验旅客数/小时/通道、机器查验的通过人数/闸机/小时、闸机人脸自动识别比例和延误比例等7个指标作为投入指标, 选取人、证、票三证合一的实名制查验比例作为产出指标, 基于数据包络分析(DEA)和纳什讨价还价博弈论结合的合作博弈模型, 从人工查验和机器查验两个角度对铁路电子车票实名制查验进行统一综合评价。案例结果表明, 铁路电子车票实名制查验效率呈现出人工查验和机器查验效率不均衡的态势; 车站人脸识别闸机的数量投入与所需闸机数量的不匹配是造成实名制查验效率下降的主要原因。根据评价结果, 从人工和机器查验两个角度提出了可行建议, 促进了铁路电子车票实名制查验效率的进一步提升。

关键词: 铁路电子车票, 实名制查验, DEA-博弈论模型, 人工识别效率, 机器识别效率

Abstract: Combining data envelopment analysis (DEA) model with Nash bargaining game theory, we apply a cooperative game method to evaluate real-name check of railway electronic ticket, which evaluates efficiency of railway electronic ticket real-name check accurately, and propose suggestions of decision making on service level improvement of railway passenger. In this paper, with 20 railway stations of different levels as the research object, 7 indexes of 2 classes (manual and machine) are selected as input, which are proportion of identification (ID) ticket buying, proportion of commuting employee ticket buying, proportion of temporary ID ticket buying, passengers /hour/channel in manual check, passengers/machine/hour, proposition of automatic identification, and proposition of delay of machine. In the output index, proposition of real-name check is used, which means consistency of passenger, identification, and ticket. Furthermore, a cooperative game model, which combines DEA with Nash bargaining game theory, is used for a unified and comprehensive evaluation of real-name check of railway electronic ticket in view of manual and machine. The results of case study show that there is unbalance allocated status between manual and machine check efficiency of railway electronic ticket, and the mismatch between machine supply and requirement in stations is the main reason for poor efficiency of real-name check of railway electronic check. From all these results, suggestions are put forward in view of manual and machine, which will improve the efficiency of real-name check of railway electronic ticket.

Key words: railway electronic ticket, real-name check, data envelopment analysis-game theory model, manual identification efficiency, machine identification efficiency

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