交通运输工程

考虑碳排放的冷藏集装箱多式联运路径选择

  • 孙家庆 ,
  • 王胜男 ,
  • 闫淑贤
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  • (1.大连海事大学 深圳研究院,广东  深圳  518000;2.大连海事大学 交通运输工程学院,辽宁 大连 116026)
孙家庆*(1963 — ),男,教授,E-mail:dlmusjq@163.com

收稿日期: 2021-11-13

  修回日期: 2021-12-06

  网络出版日期: 2021-12-06

基金资助

国家社会科学基金资助项目(19BGJ023);深圳市哲学社会科学规划课题(SZ2021B013)

Path selection of multimodal transport for refrigerated containers considering carbon emission

  • SUN Jia-qing ,
  • WANG Sheng-nan ,
  • YAN Shu-xian
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  • (1. Shenzhen Research Institution, Dalian Maritime University, Shenzhen 518000,China; 2. Transportation Management College, Dalian Maritime University,Dalian 116026,China)

Received date: 2021-11-13

  Revised date: 2021-12-06

  Online published: 2021-12-06

摘要

为了明确碳排放限额和碳税税率对冷藏集装箱多式联运路径选择的影响,基于运输时间等约束,考虑运输速度和载重吨位等因素对碳排放的影响,构建了以运输总成本和碳排放量为最低的双目标路径选择模型。设计遗传和模拟退火的混合算法进行求解,通过算例模拟情景进行讨论。结果表明:对于冷藏集装箱运输,提高运输速度会导致碳排放量增加同时降低运输总成本,且载运工具吨位增加可降低运输中的单位碳排放量;改变碳排放限额和碳税税率取值均可降低运输中的碳排放量,引导多式联运决策者选择低碳的运输路径。本模型可为多式联运经营人决策绿色的路径提供理论依据。

本文引用格式

孙家庆 , 王胜男 , 闫淑贤 . 考虑碳排放的冷藏集装箱多式联运路径选择[J]. 大连海事大学学报, 2022 , 48(2) : 57 -65 . DOI: 10.16411/j.cnki.issn1006-7736.2022.02.007

Abstract

In order to clarify the impact of carbon emission limit and carbon tax rate on the path selection of refrigerated container multimodal transport, a dual objective path selection model with the lowest total transportation cost and carbon emission was constructed based on the constraints of transportation time and considering the impact of factors such as transportation speed and deadweight tonnage on carbon emission. A hybrid algorithm of genetic algorithm and simulated annealing was designed to solve the problem, and the scenario was discussed by using a study simulation. The results show that for refrigerated container transportation, increasing the transportation speed will increase the carbon emission and reduce the total transportation cost, and the increase of vehicle tonnage can reduce the unit carbon emission in transportation; changing the carbon emission limit and carbon tax rate can reduce carbon emissions in transportation and guide multimodal transport decision-makers to choose low-carbon transportation routes. The model can provide a theoretical basis for multimodal transport operators to make green path decisions.

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