Assessing the impact of policy interventions on the adoption of plug-in electric vehicles: An agent-based model

By C. Silvia, Rachel M. Krause. 2016

171 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/9e52158231054b42a1d767cd5e8d38243d6ca203

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. J. Bergh

In Electrical and Electronic Engineering

1. L. Hesselink
2. J. Bergh
3. É. Chappin

In Renewable Energy, Sustainability and the Environment

1. L. Hesselink
2. J. Bergh
3. É. Chappin
4. Stefan Drews
5. Inês Lima Azevedo

Citations in the corpus

• A review of agent‐based modeling of climate‐energy policy (2020, background): “A small number of studies examine combinations of policy instruments with the particular aim to uncover synergetic effects of reinforcing or moderating nature (e.g., Hofer et al., 2018; Silvia & Krause, 2016).”
• Adoption of energy efficient technologies by households – Barriers, policies and agent-based modelling studies (2019, background): “Only in studies about electric vehicle adoption were information campaigns found to be effective, given that these were combined with a subsidy policy [44,46].”