交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (5): 156-162.

• 系统工程理论与方法 • 上一篇    下一篇

峰前折扣票价下轨道交通乘客出发时间弹性

禹丹丹1, 2,姚向明*1,徐会杰2,赵鹏1   

  1. 1. 北京交通大学交通运输学院,北京 100044;2. 北京市地铁运营有限公司,北京 100044
  • 收稿日期:2019-03-26 修回日期:2019-05-08 出版日期:2019-10-25 发布日期:2019-10-25
  • 作者简介:禹丹丹(1986-),女,湖南邵阳人,博士后.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(71701011);北京市地铁运营有限公司科研项目/ Research Project of Beijing Railway Operation Corporation(2018000552000001).

Departure Time Elasticities of Transit Travelers under Pre-peak Discount Price

YU Dan-dan1, 2, YAO Xiang-ming1, XU Hui-jie2, ZHAO Peng1   

  1. 1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 2. Beijing Mass Transit Railway Operation Co., Ltd., Beijing 100044, China
  • Received:2019-03-26 Revised:2019-05-08 Online:2019-10-25 Published:2019-10-25

摘要:

以北京地铁峰前折扣票价政策为背景,利用自动售检票数据研究折扣票价对乘客出发时间的影响. 首先,从“消费行为”视角建立客观的分类指标并对客运市场进行细分;其次,以较长时期内出发时间中位数为指标,基于“事前—事后对比法”对出发时间发生转移的乘客进行辨识;最后,准确测定不同类型乘客出发时间对票价变动的敏感程度. 结果显示:乘客出发时间票价弹性随转移时长增加而急剧下降,30 min 几乎是乘客所能接受的最大转移时长;通勤类乘客弹性最低,低频及生活类乘客相对富有弹性;限制当前折扣票价政策效果的主要因素在于折扣截止时间过早.该研究能够为差别定价方案编制及优化提供关键参数.

关键词: 交通工程, 出发时间弹性, 自动售检票数据, 城市轨道交通, 峰前折扣票价

Abstract:

Taking the pre-peak discount fare policy of Beijing subway as the background, this work studies the impact of discount fares on passenger’s departure time by mining smart card data. Firstly, new classification indexes in the perspective of“consumer behaviors”are established to segment transit markets. Secondly, the median of departure times is used to determine shifted passengers who move forward departure times, by using an “before-and-after compare method”. Then, departure time elasticities of different passenger groups are measured. The results show that departure time elasticities decrease sharply with shift time increasing, and 30 minutes are almost the maximum time that passengers can accept. Commuters have the lowest flexibility, low-frequency and living-travel passengers are relatively flexible. The main reason for limiting the effectiveness of the current policy is unreasonable setting of the discount deadline. This study provides fundamental parameters for fare scheme programming and optimization.

Key words: traffic engineering, departure time elasticity, smart card data, urban rail transit, pre- peak discount price

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