Chiamaka Ann Marie Ajufo
ABSTRACT
Transportation is one of the biggest menaces to the planet, releasing several million tons of gases into the atmosphere on an annual basis. The growing use of transportation has expanded the concentration and release of these gases, which affect the environment in a number of ways such as depletion of the ozone layer, air pollution and more seriously, global warming and climate change. Among the different modes, road transportation is a significant contributor of greenhouse gas as it ejects dangerous gases directly into the atmosphere, and these emissions are predicted to increase drastically over the years. As such, it is essential to track and monitor emissions from transportation activities in an attempt to reduce the global emissions of greenhouse gases, through carbon footprint calculators. However, most of these calculators do not solely focus on transportation and the ones that do, require a substantial amount of effort and manual input. this paper investigates acceptance of an automated personal transportation-based carbon footprint calculator and its accuracy in monitoring and reducing carbon emissions. As part of this study, a mobile application called TCTracker was implemented using Global Positioning System (GPS) functionality and built-in artificial intelligence (AI) features. The acceptance of the tool was evaluated using the Technology Acceptance Model whereby involving forty users to evaluate four constructs notably, perceived ease of use, perceived usefulness, perceived enjoyment, and intention to use. Among these constructs, perceived ease of use and perceived usefulness had the highest scores, to also depict the acceptance of the tool, while also sustaining interest in carbon footprint tracking.
- J. Hu, R. Wood, A. Tukker, and B. Boonman H.and de Boer. 2019. Global transport emissions in the swedish carbon footprint. Journal of Cleaner Production, 226, 210--220.Google Scholar
Cross Ref
- S. Wang and G. Mengpin. 2019. Everything you need to know about the fastest-growing source of global emissions: transport. https://www.wri.org/blog/2019/10/everythmg-you-need-know-about-fastest-growing-source-global-emissions-transport.Google Scholar
- G. Santos. 2017. Road transport and co2 emissions: what are the challenges? Transport Policy, 59, 71--74.Google ScholarCross Ref
- N. Arnell and S. Gosling. 2016. The impacts of climate change on river flood risk at the global scale. Climatic Change, 134, 3, 387--401.Google ScholarCross Ref
- X. Wu, Y. Lu, S. Zhou, L. Chen, and B. Xu. 2016. Impact of climate change on human infectious diseases: empirical evidence and human adaptation. Environment international, 86, 14--23.Google ScholarCross Ref
- Carbon Trust. 2019. Carbon footprinting. an introduction for organizations. http://www.carbontrust.co.uk/publications/publicationdetail.htm?productid=CTV033.Google Scholar
- C Pertsova. 2007. Ecological economics research trends. Nova Science Publishers, New York, NY.Google Scholar
- Scott H Matthews, Chris T Hendrickson, and Christopher L. Weber. 2008. The importance of carbon footprint estimation boundaries. Environmental Science & Technology, 42, 16, 5839--5842.Google ScholarCross Ref
- D Pandey, M Agrawal, and J Pandey. 2010. Carbon footprint: current methods of estimation. Environmental Monitoring and Assessment, 178, 1-4, 135--160.Google Scholar
- G. Bekaroo, D. Roopowa, and C. Bokhoree. 2019. Mobile-based carbon footprint calculation: insights from a usability study. In IEEE 2019 Conference on Next Generation Computing Applications (NextComp). IEEE.Google Scholar
- G. Bekaroo, D. Roopowa, A. Zakari, and D. Niemeier. 2021. Calculating carbon emissions from personal travelling: insights from a top-down analysis of key calculators. Environmental Science and Pollution Research, 28, 7, 8853--8872.Google ScholarCross Ref
- Carbonocero. 2018. Carbonocero. (2018).http://www.carbonocero.org/nosotros.php.Google Scholar
- Co2carma. 2018. About us - carbon carma. https://www.co2carma.com/about-us/.Google Scholar
- 32BitsCo. 2017. Car co2 tracker. https://play.google.com/store/apps/details?id=com.tracker.carco2tracker&hl=en_AU.Google Scholar
- Green Engineering Tips. 2018. Google play. https://play.google.com/store/apps/details?id=com.co2.automobile&hl=en_US&gl=US.Google Scholar
- L. Chapman. 2007. Transport and climate change: a review. Journal of Transport Geography, 15, 5, 354--367.Google ScholarCross Ref
- D. Berry and D. Belmont. 1951. Distribution of vehicle speeds and travel times. In Proceedings of the Second Berkeley Symposium on Mathematical Statistics and Probability.Google Scholar
- Think Metric. 2021. Speed. https://thinkmetric.uk/basics/speed/.Google Scholar
- ShrinkThatFootprint. 2017. Calculate your carbon footprint. http://shrinkthatfootprint.com/calculate-your-carbon-footprint.Google Scholar
- EPA. 2016. Basic information of air emissions factors and quantificatio. https://www.epa.gov/air-emissions-factors-and-quantification/basic-information-air-emissions-factors-and-quantification#About\%20Emissions\%20Factors.Google Scholar
- Eastern Research Group. 2013. Recommended Procedures for Development of Emissions Factors and Use of the Web-FIRE Database. Technical report. Office of Air Quality Planning and Standards (OAQPS), U.S. Environmental Protection Agency, North Carolina.Google Scholar
- Fred D. Davis. 1989. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 3, 320.Google ScholarDigital Library
- Mahmood Jasim Alsamydai. 2014. Adaptation of the technology acceptance model (tam) to the use of mobile banking services. International Review of Management and Business Research, 3, 4, 2018--2021.Google Scholar
- P. Legris, J. Ingham, and P. Collerette. 2003. Why do people use information technology? a critical review of the technology acceptance model. Information & management, 40, 3, 191--204.Google Scholar
- B.H. Wixom and P.A. Todd. 2005. A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16, 1, 85--102.Google Scholar
- Priyanka Surendran. 2012. Technology acceptance model: a survey of literature. International Journal of Business and Social Research, 2, 4, 175--178.Google Scholar
- Fred D. Davis, Richard P. Bagozzi, and Paul R. Warshaw. 1992. Extrinsic and intrinsic motivation to use computers in the workplace. I Journal of Applied Social Psychology, 22, 14, 1111--1132.Google ScholarCross Ref
- G. Bekaroo, R. Sungkur, P. Ramsamy, A. Okolo, and W. Moedeen. 2018. Enhancing awareness on green consumption of electronic devices: the application of augmented reality. Sustainable Energy Technologies and Assessments, 30, 279--291.Google ScholarCross Ref
- Raj Raghunathan. 2012. Familiarity breeds enjoyment. https://www.psychologytoday.com/us/blog/sapient-nature/201201/familiarity-breeds-enjoyment.Google Scholar
Index Terms
- An Automated Personal Carbon Footprint Calculator for Estimating Carbon Emissions from Transportation Use
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