Deducing of an Automobile Design for an Electric Vehicle (EV): Perspective of Technological Acceptance Model (TAM)
International Journal of Transportation Engineering and Technology
Volume 3, Issue 3, September 2017, Pages: 39-48
Received: Sep. 4, 2016;
Accepted: Jul. 14, 2017;
Published: Oct. 7, 2017
Views 1418 Downloads 67
Mamudu Hamidu, Electrical/Electronic Engineering Department, Faculty of Engineering & Technology, Kumasi Technical University, Kumasi, Ghana
Follow on us
Research looks at the integration of the EV in the Ghanaian market from textual analysis and the Technology Acceptance Model (TAM) point of view to aid in an EV design. This information systems theory models how users come to accept and use a technology. The model use purposive random sampling of stratums from various transports stations and public drivers by considering; Perceived usefulness (PU) and Perceived ease-of-use (PEOU). In the study, it was observed that about 76% of the respondents said they were willing to use an EV if they are available in the Ghanaian market whilst 24% said they will not use and EV. There was also textual analysis of the existing EV to develop a proposed EV which will forgo the major challenges like the frequent charging and avoid the use of fuel completely. Therefore, the research is to seek an alternative EV which avoids the use of continuous charging of batteries, fuel, power density problems and poor life time performance. It was noticed that about 33% of the respondents said their reason for willing to use EV was to save cost, 25% stated for comfort, 18% were also will for the purposes of no fuel use and 13% for EV will be least expensive. Therefore, the research concluded that, for a EV to be acceptable, it has to have the characteristics of being cost efficient, environmental cleanliness, good performance and convenience in usage.
Technology Acceptance Model (TAM), Electric Vehicle (EV), Automobile, Proposed EV, Engine Comparison, Operating Cost Analysis
To cite this article
Deducing of an Automobile Design for an Electric Vehicle (EV): Perspective of Technological Acceptance Model (TAM), International Journal of Transportation Engineering and Technology.
Vol. 3, No. 3,
2017, pp. 39-48.
Copyright © 2017 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/
) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Argonne National Laboratory, United States Department of Energy (2016-03-28). "Fact #918: March 28, 2016 - Global Plug-in Light Vehicles Sales Increased By About 80% in 2015". Office of Energy Efficiency & Renewable Energy. Retrieved 2016-03-29.
Cobb, J. (2016-01-18). "Top Six Plug-in Vehicle Adopting Countries – 2015". HybridCars.com. Retrieved 2016-01-23.
Cobb, J. (2015-01-28). "This Month America Will Be 30-Percent of the Way To Obama’s 1-Million Plug-in Goal". HybridCars.com. Retrieved 2015-01-28.
Jaber K, Fakhfakh A, Neji R. Modeling and simulation of high performance electrical vehicle powertrains in VHDL-AMS. ELECTRIC VEHICLES–MODELLING AND SIMULATIONS. 2011:25.
Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly. 1989 Sep 1:319-40.
Bagozzi RP, Davis FD, Warshaw PR. Development and test of a theory of technological learning and usage. Human relations. 1992 Jul 1; 45(7):659-86.
Lam LT, Louey R. Development of ultra-battery for hybrid-electric vehicle applications. Journal of power sources. 2006 Aug 25;158(2):1140-8.
Leitman S, Brant B. Build your own electric vehicle. McGraw-Hill, Inc; 2008 Sep 23.
Lustig S, Zang S, Michalke B, Schramel P, Beck W. Platinum determination in nutrient plants by inductively coupled plasma mass spectrometry with special respect to the hafnium oxide interference. Fresenius' journal of analytical chemistry. 1997 Apr 1;357(8):1157-63.
Kylander ME, Rauch S, Morrison GM, Andam K. Impact of automobile emissions on the levels of platinum and lead in Accra, Ghana. Journal of environmental monitoring. 2003; 5(1):91-5.
Guena T, Leblanc P. How depth of discharge affects the cycle life of lithium-metal-polymer batteries. InINTELEC 06-Twenty-Eighth International Telecommunications Energy Conference 2006 Sep (pp. 1-8). IEEE.
Nerquaye-Tetteh, E. Vehicular Emissions Reduction Programme in Ghana Programme Ghana. 2009. http://www.unep.org/urban_environment/PDFs/BAQ09_ghanacasestudy.pdf. Retrieved 2016-11-29.
Contestabile M, Offer GJ, Slade R, Jaeger F, Thoennes M. Battery electric vehicles, hydrogen fuel cells and biofuels. Which will be the winner? Energy & Environmental Science. 2011;4(10):3754-72.
Public utilities Regulatory Commission (PURC) publication of electricity tariffs. http://www.purc.com.gh/purc/sites/default/files/2nd_qtr_tariff_2015.pdf. Retrieved 2016-05-29.