交通运输系统工程与信息 ›› 2019, Vol. 19 ›› Issue (3): 34-40.

• 综合交通运输体系论坛 • 上一篇    下一篇

一种基于联运产品服务效率的运输收益清算方法

毛保华*,曾玮,李佳杰   

  1. 北京交通大学 综合交通运输大数据应用技术交通运输行业重点实验室,北京 100044
  • 收稿日期:2018-12-19 修回日期:2019-02-02 出版日期:2019-06-25 发布日期:2019-06-25
  • 作者简介:毛保华(1963-),男,湖南祁阳人,教授,博士.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(71390332,71621001).

A Profit Allocation Model Based on Service Efficiency of Multimodal Transport

MAO Bao-hua, ZENG Wei, LI Jia-jie   

  1. Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Ministry of Transport, Beijing Jiaotong University, Beijing 100044, China
  • Received:2018-12-19 Revised:2019-02-02 Online:2019-06-25 Published:2019-06-25

摘要:

既有多式联运收益清算一般按照各方式运输距离及费率确定,未充分考虑运输时间效率和外部性(如碳排放)对于联运服务竞争力的影响,导致收益清算与联运服务竞争力的分离,限制了联运服务的发展.本文据此提出了基于各方式运输时间效率及碳排放的收益清算方法,该方法考虑了各方式运输时间及运输时间比例的变化,并通过权重系数来满足不同联运环境下收益清算的需要“. 渝新欧”多式联运的实例结果表明,本文方法可提高运输效率较高、绿色低碳方式的收益占比,如当公路时间不变,铁路运输时间由目前的 14.9 d缩短至 9.0 d时,其收益由 95.0%提升至 98.9%.运输时间及其比例的权重系数案例显示,其他条件一定时,不同的权重系数下铁路的收益占比相差约3%,因此需根据实际联运环境确定合理的权重系数.

关键词: 综合交通运输, 多式联运, 收益清算, 运输时间效率, 碳排放

Abstract:

The profit allocation of multimodal transportation is generally determined according to transportation distance and rate of each mode. However, the impact of transportation time efficiency and externality (such as carbon emission) on the competitiveness of multimodal services is not fully considered. As a result, the profit allocation and service competitiveness are separating, and then limiting the development of multimodal services. Therefore, this paper proposed a profit allocation model based on transportation time efficiency and carbon emission, which considered the effect of transportation time and its ratio on profit allocation simultaneously. Weight coefficient was adopted to meet the needs of profit allocation in different situations. The case study of Yuxinou multimodal transportation shows that the proposed method improves the proportion of profit with high transportation efficiency and green low- carbon mode. For example, when road transportation time remains unchanged and railway transportation time shortens from the current 14.9 days to 9.0 days, the proportion of railway profit increases from 95.0% to 98.9%. The transportation time and its weighting coefficient of proportion shows that when other conditions remain unchanged, the profit ratio of railway differs about 3% under different weight coefficients. Therefore, a reasonable weighting coefficient should be determined according to the actual multimodal situation.

Key words: integrated transportation, multimodal transport, profit allocation, transportation time efficiency, carbon emission

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