An agent-based modeling approach to predict the evolution of market share of electric vehicles: A case study from Iceland
By E. Shafiei, Hedinn Thorkelsson, E. Ásgeirsson, B. Davidsdottir, Marco Raberto, H. Stefánsson. 2012
244 citations recorded by the source corpus.
Subfields: Electrical and Electronic Engineering, Management Science and Operations Research, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/dd3a0e45558de4adb9d6cc14a709a27b8a5e1db2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
- Srinivasan Keshav
- Adedamola Adepetu
- Christian Thiel
- B. Al-Alawi
- Thomas H. Bradley
- Chulung Lee
- Jaesik Lee
- Gillian Harrison
In Management Science and Operations Research
- Srinivasan Keshav
- Adedamola Adepetu
- Christian Thiel
- B. Al-Alawi
- Thomas H. Bradley
- Chulung Lee
- Jaesik Lee
- Gillian Harrison
In Renewable Energy, Sustainability and the Environment
- Srinivasan Keshav
- Adedamola Adepetu
- Christian Thiel
- B. Al-Alawi
- Thomas H. Bradley
- Chulung Lee
- Jaesik Lee
- Gillian Harrison
Citations in the corpus
- Energy, economic, and mitigation cost implications of transition toward a carbon-neutral transport sector: A simulation-based comparison between hydrogen and electricity (2017, methodology): “Shafiei et al. (2012) used an agent-based model to predict the market share evolution of EVs in Iceland.”
- The influence of financial incentives and other socio-economic factors on electric vehicle adoption (2014, background): “Conversely, it could be that differences such as the complexity of total ownership cost calculation and the role of charging infrastructure result in fuel prices not having the same impact on EV purchases that they do with HEVs.”
- An exploratory policy analysis of electric vehicle sales competition and sensitivity to infrastructure in Europe (2017, methodology): “…does not capture the behaviour of individuals within the system as agent based modelling could, such as proposed or applied by numerous authors (Wolf et al., 2015; El Banhawy et al., 2014; Shafiei et al., 2012a; van der Vooren & Brouillat, 2013; Eppstein et al., 2011; Noori & Tatari, 2016).”
- The relative importance of price and driving range on electric vehicle adoption: Los Angeles case study (2017, methodology): “[28] use a willingness-to-pay method to model agent EV adoption decisions in their ABM.”
- Light-duty electric vehicles to improve the integrity of the electricity grid through Vehicle-to-Grid technology: Analysis of regional net revenue and emissions savings (2016, unknown): “Agent’s preferences [28] Methodology in [4]”
- Review of hybrid, plug-in hybrid, and electric vehicle market modeling Studies (2013, background): “[36] developed an ABM to study EV’s market share in Iceland’s passenger car fleet over the period 2012–2030.”
- Does driving range of electric vehicles influence electric vehicle adoption (2017, background): “This is interesting because EVSE infrastructure—regardless of the type—is considered as an important factor for EV adoption in many existing studies [3,15,28].”