摘要
货运结构的优化是加速实现低碳货物运输体系建设的关键,也是实现交通运输业绿色低碳发展的重要途径。研究以广东省货运结构为例进行实证分析,构建“双碳”目标下的多目标货运结构优化模型,并以货运效用最大、碳排放强度最小为目标,采用非支配排序遗传算法NSGA-Ⅱ求解。结果发现,广东省自2019年在调整运输结构方面所采取的措施颇有成效;经模型优化后的货运总周转量普遍上升,单位周转量的碳排放量普遍下降;相较于原方案,综合最优解方案的单位周转量的碳排放量和耗能分别减少了9.43%和12.13%,优于原运输结构。据此,研究从融合发展节能减排技术、落实碳减排责任和物流网络路径优化等方面提出优化建议,为推动货运领域实现绿色高效发展、助力“双碳”目标提供了参考。
This paper presents an empirical analysis using the freight structure of Guangdong Province as a case study.It examines the existing freight structure and calculates the carbon emission intensity associated with freight transportation.Subsequently,a multi-objective optimization model for freight structure is developed based on a utility function.This model aims to enhance the original freight structure by maximizing freight utility while minimizing carbon emission intensity.The non-dominated sorting genetic algorithmⅡ(NSGA-Ⅱ)is utilized to solve this model.The results indicate that the measures implemented by Guangdong Province to adjust its freight structure in 2019 have been highly effective.Following optimization of the model,the total freight turnover volume generally increases,while the carbon emission intensity per unit of turnover volume tends to decrease.The comprehensive optimal solution outperforms the original in terms of carbon emissions per unit turnover and energy consumption,achieving reductions of 9.43%and 12.13%,respectively.Additionally,to assess the stability and robustness of the model results,a sensitivity analysis is conducted to evaluate the potential impact of uncertain parameters on the model.The key parameters are adjusted by 2%to evaluate their impact on the results.Furthermore,sensitivity analyses are conducted on the carbon emission coefficients of various transportation modes,the unit turnover energy consumption coefficients,and the utility coefficients to assess their influence on traffic carbon emissions and transportation utility.The findings indicate that traffic carbon emissions are more sensitive to fluctuations in uncertain coefficients,whereas transportation utility exhibits relative insensitivity.This suggests that carbon emissions can be reduced by optimizing logistics networks and routes,enhancing the carbon emission efficiency of transportation modes,and improving energy utilization efficiency.Accordingly,this paper offers optimization recommendations focusing on the integration and development of energy-saving and emission-reduction technologies,the implementation of carbon reduction responsibilities,and the optimization of logistics networks and routes.These suggestions aim to promote green and efficient freight development while contributing to the achievement of the“dual carbon”goal.
作者
薛锋
周琳
王金月
XUE Feng;ZHOU Lin;WANG Jinyue(School of Transportation and Logistics,Southwest Jiaotong University,Chengdu 611756,China;National United Engineering Laboratory of Integrated and Intelligent Transportation,Chengdu 611756,China;National Engineering Laboratory of Integrated Transportation Big Data Application Technology,Southwest Jiaotong University,Chengdu 611756,China)
出处
《安全与环境学报》
北大核心
2025年第7期2867-2878,共12页
Journal of Safety and Environment
基金
国家自然科学基金项目(61203175)
四川省自然科学基金项目(2022NSFSC0471)。
关键词
环境工程学
绿色发展
货运结构
碳减排
“双碳”目标
效用函数
environmental engineering
green development
freight structure
carbon emission reduction
“dual-carbon”goals
utility function
