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Transportation Research Part D Transport and Environment
Article . 2022 . Peer-reviewed
License: CC BY
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A disaggregate analysis of ‘excess’ car travel and its role in decarbonisation

Authors: Wadud, Z; Adeel, M; Anable, J; Lucas, K;

A disaggregate analysis of ‘excess’ car travel and its role in decarbonisation

Abstract

This paper measures ‘excess’ car travel for its role in decarbonisation. On average, each English adult travels around 5,680 miles a year and emits 1,006 kg of CO2. However, the top 5% ‘excess’ car users travel 4.8 times and emit 5.7 times the national average. Four binary logistic regression analyses were used to model the probability that people with specified characteristics belong to the ‘excess’ mileage and emitter groups. Results indicated that gender, employment and socio-economic status, household income (higher quintiles), company car availability, residential location and local population density were highly significant correlates of this ‘excess’ travel mileage. Multiple car ownership, business travel by car, multiple international flight frequencies and ownership of larger and diesel cars were positively associated with excess travel and emissions. A mileage rationing scheme targeting the top 20% users can cut emissions substantially (by 26%) compared to targeting ‘excess’ (top 5%) users only.

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Keywords

Civil engineering, Structural Engineering, Mobility, Excess consumption, Car use, Mileage, Carbon emissions, Carbon budget, Transportation, General Environmental Science

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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8
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