Simulating early adoption of alternative fuel vehicles for sustainability

By Martino Tran, David Banister, J. Bishop, Malcolm Duncan McCulloch. 2013

158 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment

View Paper: https://www.semanticscholar.org/paper/f3e82fdc3a7f44620f68c085b02eb552f132f585

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In Economics and Econometrics

In Electrical and Electronic Engineering

In Renewable Energy, Sustainability and the Environment

Citations in the corpus

From distribution networks to smart distribution systems: Rethinking the regulation of European electricity DSOs (2014, background): “Similarly, Tran et al. (2012) argue that - on individual consumer level - the adoption of EVs mostly is motivated by financial incentives (e.g. tax deductions), environmental concerns or affinity towards new technologies. However, because consumers tend to be risk-averse, they also conclude that pol”
Fully automated vehicles: A cost of ownership analysis to inform early adoption (2017, background): “The 24 technique has become especially popular in the context of alternative powertrains in vehicles, with 25 numerous studies applying the method to compare the costs of conventional internal combustion 26 engine vehicles with Hybrid Electric Vehicles, Battery Electric Vehicles, Plug-in Hybrid Elec”
Electric vehicles revisited: a review of factors that affect adoption (2017, methodology): “Tran et al. (2013) cite that surveys for the EU and U.S. show that early adopters of BEVs tend to be male, between 18 and 34 years of age, well-educated with high income, “environmentally sensitive”, car owners, interested in new technologies, sensitive to government incentives, and knowledgeable…”
The spatial pattern of demand in the early market for electric vehicles: Evidence from the United Kingdom (2018, background): “The diffusion of EVs through national vehicle fleets is often discussed temporally, with models designed in order to predict future rates of adoption and to construct potential uptake trajectories (Shepherd et al. 2012; Zubaryeva et al. 2012a; Tran et al. 2013).”
Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies (2013, background): “[98] to test different conditions that might influence the adoption of CV, diesel, HEV, PHEV, BEV and FC technologies over the period 2000–2030 in the EU.”