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CLIMATE IMPACT OF LONGER HEAVY GOOD VEHICLES IN GERMANY

机译:德国较长良好的良好车辆的气候影响

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摘要

Since January 1st, 2017, the use of longer heavy goods vehicles (HGV) is allowed in national freight transport on certain roads in Germany. The decision was made based on a field test of the potential risks of longer HGV op-eration monitored by the Federal Highway Research Institute (BASt). This study was mainly focused on safety concerns and less so on environmental impacts. To gain additional insight on the policy's climate effects, the state government of Baden-Wurttemberg and Daimler AG asked Prognos AG and thinkstep to investigate how longer HGV change the C02-emissions from freight transport in Germany. In this paper, we present the impact of longer HGV on transport performance and C02-emissions from road and rail freight transport under the conditions of the field test and for a future scenario. In addition to the quantitative analysis, the paper also presents a discussion of the factors that favor or hinder the use of long HGV in road freight transport in Germany. Our methodology draws on several very different sources. Expert interviews with carriers, shippers and forward-ers were vital in identifying the constraints for the use of longer HGV in road freight transport operations. Based on these interviews, we were able to define the potential demand for longer HGV in Germany by analyzing NST2007 goods classifications and by developing regional demand coefficients at the NUTS 3 level. Following a cross price elasticity approach, we estimated the intramodal (from conventional HGV) and inter-modal (from rail) shift that can be expected from the new policy under the different scenarios. The data base for affected transport volumes are the demand matrices of the 2030 Federal Transport Infrastructure Plan. Our transport cost calculations take into account detours caused by the restrictions for long HGV use in Germany. The modal shift results served as input for the calculation of greenhouse gas emissions in freight transport in Germany with and without longer HGV The calculation is based on fuel consumption functions established by analyzing theoretical and operational values obtained from both conventional and longer HGV operators, rele-vant vehicle parameters as well as specific power supply sources. The results give a detailed look on the climate impact that can be expected from longer HGV operations in Germany. ;Longer Heavy Goods Vehicles; road transport; modal shift; cross-price elasticity; fuel consumption curves; greenhouse gas emissions.
机译:自2017年1月1日起,在德国某些道路上允许使用较长的重型货车(HGV)。该决定是基于联邦公路研究所(BAST)监测的较长HGV op-eration潜在风险的现场测试。本研究主要集中在安全问题上,对环境影响较少。为了获得对政策的气候影响的额外洞察力,巴登 - 符腾堡和戴姆勒AG的州政府要求预计AG和TAIPSTEP调查HGV在德国货运运输中的C02排放时间更长。在本文中,我们在现场试验条件下展示了较长HGV对路和铁路货运的CO 2 - 排放的影响,以及未来的场景。除了定量分析外,本文还讨论了有利于或阻碍德国道路货运运输长期使用的因素的因素。我们的方法论会在几个非常不同的来源上绘制。与运营商,托运人和前瞻性的专家访谈对于确定在公路货运运营中使用更长的HGV的限制至关重要。基于这些访谈,我们能够通过分析NST2007商品分类,并通过在螺母3水平上开发区域需求系数,确定德国更长HGV的潜在需求。在交叉价格弹性方法之后,我们估计了岩内内(来自常规HGV)和跨模式(来自轨道)换档,可以从不同情景下的新政策预期。受影响传输量的数据库是2030联邦运输基础设施计划的需求矩阵。我们的运输成本计算考虑到德国长期HGV使用限制造成的绕行。模态转换结果作为计算德国货运的温室气体排放的投入,随着HGV而无需更长的HGV,计算基于通过分析从传统和更长的HGV运算符获得的理论和操作值来建立的燃料消耗功能,依赖于 - Vant车辆参数以及特定的电源源。结果详细了解德国HGV运营所需的气候影响。 ;较长的重型货车;公路运输;莫代尔转移;叉价格弹性;燃料消耗曲线;温室气体排放。

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