在低碳政策下考虑负载损失,研究优化吉穆西谷物的多式联运路径
Chenglin Ma1, Wenchao Kang2, Mengwei Zhou1
1College of Civil Engineering and Transportation, Northeast Forestry University, Harbin, 150040, China.
Scientific reports
|February 9, 2026
概括
这项研究通过分析低碳政策和装载方式来优化谷物多式联运. 集装箱式铁路水上运输提供了显著的成本和环境效益,特别是在排放交易计划下.
科学领域:
- 物流和供应链管理的物流和供应链管理.
- 环境经济学环境经济学
- 运输工程 运输工程
背景情况:
- 为了平衡粮食供需,需要有效的分销系统.
- 减少谷物运输中的温室气体排放是一个关键的政府和企业关注.
研究的目的:
- 为了优化低碳谷物多式联运运输路径.
- 分析不同低碳政策 (碳税,排放交易,碳抵消) 和装载方式 (包装,散装,集装箱) 对运输优化的影响.
主要方法:
- 构建一个低碳谷物多式联运运输路径优化模型.
- 尽量减少运输,货物损失,时间和碳排放成本.
- 启发式遗传算法的应用,以解决模型,使用吉穆西市作为案例研究.
主要成果:
- 排放交易计划 (ETS) 政策导致了最低的总成本,与碳税和抵消政策相比减少了1%.
- 集装箱式铁路-水上多式联运运输显示出显著的成本 (42%和33%低于袋子和散装) 和环境优势 (27%更低的碳排放).
- 碳价格为2元人民币/千克CO2及以上,促进向低碳铁路-水上综合运输转型.
结论:
- 集装箱式铁路-水上综合运输是最具成本效益和环保的选择.
- 排放交易体系政策,特别是高碳配额政策,鼓励企业降低成本和提高效率.
- 这些发现为粮食运输企业提供了宝贵的见解,并支持政府制定低碳物流政策.
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