交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (3): 28-32.

• 综合交通运输体系论坛 • 上一篇    下一篇

基于BWM 的中欧班列客户需求偏好异质性研究

李青林1,彭其渊1,郭经纬2,汤银英* 1,张卓3   

  1. 1. 西南交通大学交通运输与物流学院,成都 611756;2. 河南理工大学能源科学与工程学院,河南焦作 454000;3. 中南大学交通运输工程学院,长沙 410075
  • 收稿日期:2019-12-30 修回日期:2020-03-21 出版日期:2020-06-25 发布日期:2020-06-28
  • 作者简介:李青林(1990-),男,山东烟台人,博士生.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(U1834209,61803147).

Customer Demand Preferences' Heterogeneity of China Railway Express Based on Best Worst Method

LI Qing-lin1, PENG Qi-yuan1, GUO Jing-wei2, TANG Yin-ying1, ZHANG Zhuo3   

  1. 1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 611756, China; 2. School of Energy Science and Engineering, Henan Polytechnic University, Jiaozuo 454000, Henan, China; 3. Traffic & Transportation Engineering, Central South University, Changsha 410075, China
  • Received:2019-12-30 Revised:2020-03-21 Online:2020-06-25 Published:2020-06-28

摘要:

中欧班列沿线运输能力短缺现象日益严峻,充分了解客户需求偏好能为高效利用现有运输能力提供参考. 采用最佳—最差方法(Best Worst Method, BWM)在市场调查的基础上,对中欧班列客户需求偏好进行研究,并对结果进行二阶聚类分析,揭示客户需求偏好异质性.BWM结果显示,运输成本是中欧班列客户整体最偏好指标,相比于运输成本和运输时间,并结合铁路运输自身特点,可靠性最适合中欧班列发展为其特色. 二阶聚类结果显示,将运输服务质量与运价相结合,可以在满足客户异质性需求的基础上,更好地利用中欧班列现有运输能力.

关键词: 铁路运输, 需求异质性, 最佳&mdash, 最差方法, 中欧班列, 聚类分析

Abstract:

The rapid development of China Railway Express is facing the issue of insufficient transportation capacity along the route. This paper uses the Best Worst Method (BWM) based on market surveys to investigate the customer demand preferences of China Railway Express' service. A two-step cluster analysis was performed to reveal the heterogeneity of customer demand. The BWM results show that travel cost is overall the most important factor considered by the customers of China Railway Express. Compared with the transportation time and cost, improving the reliability is a recommended way for China Railway Express to develop its advantages. The twostep cluster analysis results show that optimizing the quality of transportation services would be beneficial to improve the existing transport capacity of China Railway Express.

Key words: railway transportation, heterogeneity of demand, Best Worst Method (BWM), China Railway Express, cluster analysis

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