The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Total cost of ownership and its potential implications for battery electric vehicle diffusion
Open accessAbstract
Battery electric vehicles (BEVs) have been slow to diffuse on the international as well as the Swedish market. Previous studies have indicated situational factors such as economic factors, size and performance to be of major importance for vehicle purchasers in their choice of vehicle. In this paper, the authors explore a consumer centric total cost of ownership (TCO) model to investigate the possible discrepancy between purchase price and the TCO between internal combustion engine vehicles (ICEVs), hybrid electric vehicles (HEVs) and BEVs. The creation and testing of the TCO model reveals that computation could be a challenging task for consumers due to bounded access of relevant data and the prediction of future conditions. The application of the model to the vehicle sample found that BEVs could be cheaper compared to ICEVs and HEVs. The findings in this paper could prove to be of importance for policy and marketing alike in designing the most appropriate business models and information campaigns based on consumer conditions in order to further promoting the diffusion of BEVs in society.
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Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
Stanton, B. F., & Rogers, E. M. (1963) · Journal of Farm Economics · doi:10.2307/1235767 · Cited by 6,675
Egbue, O., & Long, S. (2012) · Energy Policy · doi:10.1016/j.enpol.2012.06.009 · Cited by 1,797
Models of technology diffusion
Geroski, P. A. (2000) · Research Policy · doi:10.1016/s0048-7333(99)00092-x · Cited by 1,550
The adoption of cleaner vehicles in the UK: exploring the consumer attitude–action gap
Lane, B., & Potter, S. (2007) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2006.05.026 · Cited by 568
Total cost of ownership: an analysis approach for purchasing
Ellram, L. M. (1995) · International Journal of Physical Distribution & Logistics Management · doi:10.1108/09600039510099928 · Cited by 563
Factors affecting the diffusion of technology
Rosenberg, N. (1972) · Explorations in Economic History · doi:10.1016/0014-4983(72)90001-0 · Cited by 513
Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies
Al-Alawi, B. M., & Bradley, T. H. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2012.12.048 · Cited by 467
Turrentine, T. S., & Kurani, K. S. (2007) · Energy Policy · doi:10.1016/j.enpol.2006.03.005 · Cited by 446
Transition Challenges for Alternative Fuel Vehicle and Transportation Systems
Struben, J., & Sterman, J. D. (2008) · Environment and Planning B: Planning and Design · doi:10.1068/b33022t · Cited by 425
Cited by
Kim, M.-K., Oh, J., Park, J.-H., & Joo, C. (2018) · Energy · doi:10.1016/j.energy.2018.06.064 · Cited by 298
Alp, O., Tan, T., & Udenio, M. (2022) · Omega · doi:10.1016/j.omega.2022.102595 · Cited by 75
Heterogeneity in Economic and Carbon Benefits of Electric Technology Vehicles in the US
Desai, R. R., Chen, R. B., Hittinger, E., & Williams, E. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b02874 · Cited by 25
Metadata
- Authors
- Hagman, J., Ritzén, S., Stier, J. J., & Susilo, Y.
- Venue
- Research in Transportation Business & Management
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 18
- Pages
- 11-17
- ISSN
- 2210-5395 (ISSN-L)
- OpenAlex
- W2254080159
- Cited by
- 293
- References
- 17
- FWCI
- 10.52
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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