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Making meaningful comparisons between road and rail - substituting average energy consumption data for rail with empirical analysis

机译:在公路和铁路之间进行有意义的比较-用实证分析代替铁路的平均能耗数据。

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摘要

Within the transport sector, modal shift towards more efficient and less polluting modes could be a key policy goal to help meet targets to reduce energy consumption and carbon emissions. However, making comparisons between modes is not necessarily straightforward. Average energy and emissions data are often relied upon, particularly for, rail, which may not be applicable to a given context. Some UK train operating companies have recently fitted electricity metres to their trains, from which energy consumption data have been obtained. This has enabled an understanding to be gained of how energy consumption and related emissions are affected by a number of factors, including train and service type. Comparisons are made with existing data for road and rail. It is noted that although more specific data can be useful in informing policy and making some decisions, average data continue to play an important role when considering the overall picture.
机译:在运输部门内,模式向更高效,更少污染的模式转变可能是一项关键的政策目标,以帮助实现减少能源消耗和碳排放的目标。但是,在模式之间进行比较并不一定很简单。通常依赖于平均能量和排放数据,尤其是对于铁路而言,这可能不适用于给定的环境。最近,一些英国的火车运营公司已经在火车上安装了电表,从中获得了能耗数据。这使人们对能源消耗和相关排放如何受许多因素(包括火车和服务类型)影响有一个了解。与现有的公路和铁路数据进行比较。需要注意的是,尽管更具体的数据可用于通知政策和做出一些决策,但在考虑总体情况时,平均数据仍将继续发挥重要作用。

著录项

  • 来源
    《Transportation planning and technology》 |2015年第1期|111-130|共20页
  • 作者单位

    Transportation Research Group, Engineering and the Environment, University of Southampton, Boldrewood Innovation Campus, Southampton SO16 7QF, UK;

    Transportation Research Group, Engineering and the Environment, University of Southampton, Boldrewood Innovation Campus, Southampton SO16 7QF, UK;

    Transportation Research Group, Engineering and the Environment, University of Southampton, Boldrewood Innovation Campus, Southampton SO16 7QF, UK;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    energy; carbon; rail; modal shift;

    机译:能源;碳;轨;模态转移;

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