Calculating carbon emissions from personal travelling: insights from a top-down analysis of key calculators

Bekaroo, Girish ORCID: https://orcid.org/0000-0003-1753-4300, Roopowa, Divesh, Zakari, Abubakar and Niemeier, Debbie (2020) Calculating carbon emissions from personal travelling: insights from a top-down analysis of key calculators. Environmental science and pollution research international . ISSN 0944-1344 [Article] (doi:10.1007/s11356-020-11179-z)

Abstract

Personal travelling unfavourably contributes to the emissions of greenhouse gases, which adversely causes long-term damage to the climate. In order to reduce the associated negative impacts of such activities on the environment, there is a wide consensus that enhancements and innovations in the efficiency of vehicles will not be enough, but behavioural changes are needed. For this, individuals should be able to measure their travel-related carbon emissions, and such emissions could be determined by using personal carbon footprint calculators, which proliferated during the previous decade. However, various research questions related to such calculators are yet to be answered in published literature. As such, this paper investigates how key transport-based calculators account for emissions from personal transport-related activities following a top-down analysis. In this endeavour, ten such calculators are investigated through a set of formulated research questions to analyse their scope, calculation approach used, transparency, consistency of results, communication methods utilized and platform differences. Results revealed that the calculators have varying granularity, have limited transparency, provide significantly inconsistent results in some cases and are not fully engaging end users. Based on limitations identified, recommendations have been proposed through a taxonomy to guide policy-makers towards improving such tools.

Item Type: Article
Keywords (uncontrolled): Carbon emissions, Carbon footprint calculators, Personal travelling, Taxonomy of recommendations, Top-down analysis
Research Areas: A. > School of Science and Technology
Item ID: 31341
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Depositing User: Jisc Publications Router
Date Deposited: 20 Nov 2020 08:45
Last Modified: 20 Nov 2020 08:45
URI: https://eprints.mdx.ac.uk/id/eprint/31341

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