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绿色交通目标下集装箱“公转铁”的CO2减排潜力评估
引用本文:陶学宗,吴琴,尹传忠.绿色交通目标下集装箱“公转铁”的CO2减排潜力评估[J].气候变化研究进展,2019,15(6):660-669.
作者姓名:陶学宗  吴琴  尹传忠
作者单位:上海海事大学交通运输学院,上海 201306
基金项目:国家自然科学基金项目(71603162);上海市自然科学基金项目(15ZR1420400);中国铁路总公司科技研究开发计划课题(2017X009-J)
摘    要:为提高集装箱“公转铁”减排潜力评估结果的准确性,在分析“公转铁”减排原理的基础上,综合考虑空箱调运和重箱运输“门到门”运输链的干线运输、端点装卸、电力设备作业、集卡短驳、公铁中转等排放,引入反映活动类型、设备结构、能源生命周期排放的参数,对作业活动-方式结构-能耗强度-排放因子(ASIF)方法进行改进,建立“公转铁”减排潜力评估框架。以义乌—宁波港域出口集装箱运输为例,通过实地调研和公开文献获取数据,进行实证研究。结果表明,如果忽略必要因素将会导致每TEU运输需求“公转铁”的CO2减排率被高估0.50~36.73个百分点;最佳“公转铁”情景可减排3.42万t CO2,相应减排率为13.58%。研究结果可为政府相关部门客观评估“公转铁”的减排潜力、制定有效的“公转铁”政策措施提供理论支持。

关 键 词:集装箱运输  货运方式转移  ASIF方法  CO2减排  运输链  
收稿时间:2019-01-27
修稿时间:2019-03-13

CO2 reduction potential of shifting containers from road to rail for green transport development
Xue-Zong TAO,Qin WU,Chuan-Zhong YIN.CO2 reduction potential of shifting containers from road to rail for green transport development[J].Advances in Climate Change,2019,15(6):660-669.
Authors:Xue-Zong TAO  Qin WU  Chuan-Zhong YIN
Institution:College of Transport and Communications, Shanghai Maritime University, Shanghai 201306, China
Abstract:An assessment framework was established to improve the estimation accuracy of emission reduction potential of shifting containers from road to rail (SRR), based on the analysis of SRR’s emission reduction principle. To this end, the activity-modal structure-energy intensity-emission factor (ASIF) methodology was revised by integrating the parameters of activity type, emission category, equipment structure, and energies’ life-cycle emission factor, which considered the emissions from main haulage, loading and unloading, operations by electric vehicles and equipment, pre- and post-haulage, transshipment between road and rail for the door-to-door transport chain of both empty and loaded container movement. Then, the export container transportation between Yiwu and Ningbo Port Area was taken for case study, and the input data was collected by use of face-to-face interview and published literature. The results showed that the emission reduction rate of CO2 for one TEU SRR of transport demand would be overestimated by 0.50-36.73 percentage points, when necessary factors are ignored. In the best-case SRR scenario, the CO2 emissions will be reduced by 34.2 kt with a reduction rate of 13.58%. The findings could provide theoretical support for the relevant government departments to objectively evaluate SRR’s emission reduction potential and to make efficient SRR policy measures.
Keywords:Container transportation  Freight modal shift  Activity-modal structure-energy intensity-emission factor (ASIF) methodology  CO2 reduction  Transport chain  
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