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

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 meters 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.

• Record URL:
  • https://doi.org/10.1080/03081060.2014.976985
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/1767712
• Supplemental Notes:
  • Abstract reprinted with permission of Taylor & Francis.
• Authors:
  • Pritchard, James
  • Preston, John
  • Armstrong, John
• Publication Date: 2015-1

Language

• English

Media Info

• Media Type: Web
• Pagination: pp 111-130
• Serial:
  • Transportation Planning and Technology
  • Volume: 38
  • Issue Number: 1
  • Publisher: Taylor & Francis
  • ISSN: 0308-1060
  • Serial URL: https://www.tandfonline.com/toc/gtpt20/current

Subject/Index Terms

• TRT Terms: Empirical methods; Energy consumption; Environmental impacts; Modal shift; Pollutants; Railroads
• Geographic Terms: United Kingdom
• Subject Areas: Energy; Environment; Highways; Planning and Forecasting; Railroads; I15: Environment; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01549141
• Record Type: Publication
• Files: TRIS
• Created Date: Dec 29 2014 11:10AM