A methodology for estimation of vehicle emissions in an urban environment: an example from Greater Manchester

D. Rayfield, J.W.S. Longhurst, A.F.R. Watson, T. Hewison, D.W. Raper, D.E. Conlan and B. Owen
Additional contact information
D. Rayfield: University of the West of England
J.W.S. Longhurst: University of the West of England
A.F.R. Watson: University of the West of England
T. Hewison: University of the West of England
D.W. Raper: University of the West of England
D.E. Conlan: University of the West of England
B. Owen: University of the West of England

Environment Systems and Decisions, 1998, vol. 18, issue 3, 175-182

Abstract: Abstract Road transport is a major contributor to urban air pollution. The introduction of local air qua lity management in the UK will require objective test procedures to evaluate and prioritise the air pollution benefits of existing transport systems and proposed developments. This methodology has been developed to assist the land use and transport planning professionals in evaluating current and potential future impacts on air quality. The method couples an emissions estimation procedure to a traffic flow database. It requires data on emission factors, the composition of the vehicle fleet, vehicle control technologies and the daily traffic flow profile. With these data, it is possible to generate emission estimates per kilometre, link or road as selected by the user. Forecasts can be made by varying input variables. The current methodology allows prediction of five or more pollutant species/classes, limited only by availability of emission factors. The method utilises a commercially available personal computer based spreadsheet. Further coupling of the method to a geographical information system will improve the decision support capability of the method.

Keywords: Traffic Flow; Emission Factor; Flow Profile; Vehicle Emission; Road Transport (search for similar items in EconPapers)
Date: 1998
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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DOI: 10.1023/A:1006602217842

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