| 交通运输行业低碳多式联运路径优化研究 |
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| 引用本文： | 刘学之,上官强强,张婷,杨雪伦,孙祥栋.交通运输行业低碳多式联运路径优化研究[J].科技管理研究,2021(12). |
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| 作者姓名： | 刘学之 上官强强 张婷 杨雪伦 孙祥栋 |
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| 作者单位： | 北京化工大学经济管理学院,北京化工大学经济管理学院,北京化工大学经济管理学院,加拿大达尔豪斯大学,多伦多,加拿大,北京化工大学经济管理学院 |
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| 基金项目： | (1)中央高校基本科研业务费项目,中美贸易摩擦及其对化工行业经济影响研究——基于CGE模型(PT2020);(2)国家社会科学:“一带一路”投资安全保障体系研究(19ZDA100); |
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| 摘 要： | 交通运输行业是仅次于电力行业的第二大温室气体排放源,近年来各国对其“低碳化”发展的关注不断提高,运输产业如何承担相应的低碳减排责任,积极变革寻求一种绿色低碳的运输方式成为行业发展的热点问题。低碳多式联运作为一种环境友好型的运输模式,通过综合多种运输方式的技术经济优势可以有效降低运输过程中产生的碳排放量,并逐渐被各大运输公司所关注。本文基于成本和时间双重约束下,将二氧化碳排放量纳入到多式联运研究中,通过碳价函数将二氧化碳的排放量换算为二氧化碳的排放成本,形成考虑整个运输过程的总成本,并在设定时间约束下,建立低碳多式联运优化模型,采用遗传算法求解,得出最佳低碳多式联运组合方式和路线,研究对基于企业层面如何建立多重约束下的低碳联运模式进行探索,并提出了相应的政策建议,研究结论对于促进我国交通运输业供给侧低碳结构性改革具有参考意义。
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| 关 键 词： | 低碳多式联运 遗传算法 路径优化 |
| 收稿时间： | 2020/10/10 0:00:00 |
| 修稿时间： | 2021/6/18 0:00:00 |
Research on Path Optimization of Low-Carbon Multimodal Transport in the Transportation Industry |
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| Abstract: | The transportation industry is the second-largest source of greenhouse gas emissions after the power industry. In recent years, countries have paid more and more attention to their "low-carbon" development. How can the transportation industry assume the corresponding responsibility for low-carbon emission reduction, Green and low-carbon transportation has become a hot issue for industry development. Low-carbon multimodal operation is an environmentally friendly transportation mode. By integrating the technical and economic advantages of multiple transportation methods, it can effectively reduce the carbon emissions generated during transportation, and it has gradually attracted the attention of major transportation companies. Based on the dual constraints of cost and time, this paper incorporates carbon dioxide emissions into the multimodal transportation and converts the carbon dioxide emissions into the cost of carbon dioxide emissions through the carbon price function, forming the total cost of the entire transportation process. Under the time constraints, the article establishes a low-carbon multimodal transport optimization model, uses a genetic algorithm to solve the problem, and obtains the best low-carbon multimodal transport combination mode and route. The research explores how to establish a low-carbon combined transport mode under multiple constraints based on the enterprise level, and puts forward corresponding policy recommendations. The research conclusions have reference significance for promoting the low-carbon structural reform of the supply side of China''s transportation industry. |
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| Keywords: | Low-carbon multimodal transport Genetic algorithm Path optimization |
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