交通运输系统工程与信息 ›› 2023, Vol. 23 ›› Issue (4): 24-33.DOI: 10.16097/j.cnki.1009-6744.2023.04.003

• 低碳交通论坛 • 上一篇    下一篇

公铁联运下我国中西部地区低碳运输实证研究

王超*1a,1b,2,怀旭1a,伍佳妮1a,1b   

  1. 1. 长安大学,a. 经济与管理学院,b. 陕西高校青年创新团队,西安 710064; 2. 山东大学,威海前沿交叉科学研究院,山东 威海 264209
  • 收稿日期:2023-05-01 修回日期:2023-05-30 接受日期:2023-06-06 出版日期:2023-08-25 发布日期:2023-08-21
  • 作者简介:王超(1984- ),男,山东威海人,教授
  • 基金资助:
    Social Science Foundation of Shaanxi Province, China (2022D138); Natural Science Foundation of Shaanxi Province, China (2023-JC-YB-630);Key R&D Plan of Shandong Province (Soft Science Project)(2023RZA02019)

Empirical Study on Low-carbon and Rail-road Intermodal Transport in Middle West China

WANG Chao*1a,1b,2, HUAI Xu1a, WU Jia-ni1a,1b   

  1. 1a. School of Economics and Management, 1b. The Youth Innovation Team of Shaanxi Universities, Chang'an University, Xi'an 710064, China; 2. Weihai Institute for Interdisciplinary Research, Shandong University, Weihai 264209, Shandong, China
  • Received:2023-05-01 Revised:2023-05-30 Accepted:2023-06-06 Online:2023-08-25 Published:2023-08-21
  • Supported by:
    Social Science Foundation of Shaanxi Province, China (2022D138);Natural Science Foundation of Shaanxi Province, China (2023-JC-YB-630);Key R&D Plan of Shandong Province (Soft Science Project)(2023RZA02019)

摘要: 现代化综合运输体系的构建对高效和绿色提出了新要求。本文选取我国中西部地区公铁联运为研究对象,采用熵权-TOPSIS方法求出枢纽城市物流网点集装箱货运需求量,构建运输成本和碳排放量最小的双目标公铁联运优化模型,并模拟与中西部地区公铁联运相关的4种情景进行求解,通过敏感性分析探讨公路单位运价、碳排放强度和碳税税率对低碳运输的影响。结果表明:与公路单一运输方式相比,采用公铁联运可以实现低碳化和低成本运输;运输成本和碳排放量随着铁路货运规模的增加而降低;灵活性强的公路运输仍然是主要的运输方式;相比于降低公路单位运价,政府应制定相应的铁路运价优惠政策,促使企业优先选择铁路运输;鼓励使用新能源物流配送车,降低公路碳排放强度,减少碳排放量;政府部门应因地制宜调整合理的碳税税率,促进运输的低碳化转型。

关键词: 综合运输, 低碳运输, 双目标优化, 公铁联运, 熵权-TOPSIS

Abstract: The construction of modern integrated transportation system puts forward new requirements for high efficiency and green. In this paper, the rail- road intermodal transport in central and western China are selected as the research object. The entropy weight TOPSIS method is used to calculate the container freight demand of hub city logistics network, and a dual-objective optimization model of railway combined transport with minimum transport cost and carbon emission is developed. Four scenarios related to rail-road intermodal transport in central and western regions are simulated to solve the problem, and sensitivity analysis is carried out by discussing the influence of highway unit freight rate, carbon emission intensity and carbon tax rate on low-carbon transport. The results show that compared with the single highway transportation mode, the combined transportation of public and railway can achieve low carbon and low cost transportation. Transportation cost and carbon emission decrease with the increase of railway freight scale. Road transport, which is flexible, remains the main mode of transport. Compared with reducing the unit freight rate of highway, the government should formulate corresponding preferential policies for railway freight rate to encourage enterprises to give priority to railway transport. Encourage the use of new energy logistics distribution vehicles to reduce road carbon emission intensity, so as to reduce carbon emissions; Government departments should adjust the reasonable carbon tax rate according to local conditions to promote the transformation to low-carbon transportation.

Key words: integrated transportation, low-carbon transport, dual-objective optimization, rail-road intermodal transport, entropy weight-TOPSIS

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