Personal carbon footprint reduction: ICT as a key enabler
Bekaroo, Girish ORCID: https://orcid.org/0000-0003-1753-4300, Moedeen, Waseemah, Bokhoree, Chandradeo and Ramsamy, Priscilla
(2015)
Personal carbon footprint reduction: ICT as a key enabler.
In: ERPBSS 2015: Third International Conference on Emerging Research Paradigms in Business and Social Sciences, 24-26 Nov 2015, Dubai, UAE.
.
[Conference or Workshop Item]
![]() |
PDF
- Final accepted version (with author's formatting)
Restricted to Repository staff and depositor only Download (97kB) | |
Abstract
During the past decade, one of the key concerns being faced around the world is climate change, primarily caused by global warming. This warming of the Earth has been attributed to the ‘enhanced greenhouse effect’, which is in turn caused by human induced release of greenhouse gases (GHG) into the atmosphere . Human beings contribute to this enhanced greenhouse effect in their daily activities through different main sources, including household energy use and travel . Since it is easier to manage what can be measured, it is important to effectively measure and quantify carbon emissions. One popular quantitative expression of GHG emissions from an activity is ‘carbon footprint’ and is helpful in carbon emissions management as well as assessment of mitigation measures. However, manually determining the carbon footprint of an individual involves formula-based calculation and has been found to be complex due to the involved parameters in the calculation process. As a solution to this problem, several online carbon footprint calculators have emerged that do not only help human beings to measure their carbon emissions, but also help to track and advise on mitigation practices. This paper discusses how ICT is a key enabler of personal carbon footprint reduction after a study conducted within a tertiary education institution so as to understand whether employees are effectively using this emerging tool to mitigate the problem of growing carbon emissions around the world.
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Research Areas: | A. > School of Science and Technology > Computer Science |
Item ID: | 30451 |
Useful Links: | |
Depositing User: | Girish Bekaroo |
Date Deposited: | 26 Jun 2020 13:39 |
Last Modified: | 21 Nov 2022 18:40 |
URI: | https://eprints.mdx.ac.uk/id/eprint/30451 |
Actions (login required)
![]() |
View Item |
Statistics
Additional statistics are available via IRStats2.