Market adoption simulation of electric vehicle based on social network model considering nudge policies. (15th November 2022)
- Record Type:
- Journal Article
- Title:
- Market adoption simulation of electric vehicle based on social network model considering nudge policies. (15th November 2022)
- Main Title:
- Market adoption simulation of electric vehicle based on social network model considering nudge policies
- Authors:
- Zhang, Qi
Liu, Jiangfeng
Yang, Kexin
Liu, Boyu
Wang, Ge - Abstract:
- Abstract: The promotion of electric vehicle (EV) is crucial for China to achieve the carbon neutrality by 2060. However, apart from economic incentives, the large-scale market penetration of EV is still hindered by consumer behavior factors like preference and attitude, which were rarely analyzed in the existing studies. Therefore, in the present study, the market adoption of EV among the consumers with bounded rationality and attitude-behavior gap in different policy scenarios was studied by using a developed social network model, and the data mining methods were applied to collect and analyze consumers' online behavior data. Moreover, the key nudge policies were proposed and simulated by using the developed model, and the obtained results show that: i) The nudge policy of information propaganda promotion has a considerable promotion effect on EV adoption, and combining nudge polices and charging infrastructure has much more promotion effects comparing with charging subsidy; ii) The consumers' over communication will have negative effects on the adoption of EV, therefore nudge polices are necessary to control or reduce the over-communication properly. iii) The purchase subsidy is obviously important for promoting EV adoption at present, thus its phaseout should be carried out step by step. Highlights: A social network model based on data mining was proposed for EV adoption. The EV adoption among consumers with bounded rationality was studied. The nudge policies haveAbstract: The promotion of electric vehicle (EV) is crucial for China to achieve the carbon neutrality by 2060. However, apart from economic incentives, the large-scale market penetration of EV is still hindered by consumer behavior factors like preference and attitude, which were rarely analyzed in the existing studies. Therefore, in the present study, the market adoption of EV among the consumers with bounded rationality and attitude-behavior gap in different policy scenarios was studied by using a developed social network model, and the data mining methods were applied to collect and analyze consumers' online behavior data. Moreover, the key nudge policies were proposed and simulated by using the developed model, and the obtained results show that: i) The nudge policy of information propaganda promotion has a considerable promotion effect on EV adoption, and combining nudge polices and charging infrastructure has much more promotion effects comparing with charging subsidy; ii) The consumers' over communication will have negative effects on the adoption of EV, therefore nudge polices are necessary to control or reduce the over-communication properly. iii) The purchase subsidy is obviously important for promoting EV adoption at present, thus its phaseout should be carried out step by step. Highlights: A social network model based on data mining was proposed for EV adoption. The EV adoption among consumers with bounded rationality was studied. The nudge policies have considerable promotion effects on EV adoption. The combination of nudge policies and infrastructures is more significant. Nudge polices are necessary to control consumers' over-communication. … (more)
- Is Part Of:
- Energy. Volume 259(2022)
- Journal:
- Energy
- Issue:
- Volume 259(2022)
- Issue Display:
- Volume 259, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 259
- Issue:
- 2022
- Issue Sort Value:
- 2022-0259-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-11-15
- Subjects:
- Electric vehicle -- Market adoption -- Nudge policy -- Social network
Power resources -- Periodicals
Power (Mechanics) -- Periodicals
Energy consumption -- Periodicals
333.7905 - Journal URLs:
- http://www.elsevier.com/journals ↗
- DOI:
- 10.1016/j.energy.2022.124984 ↗
- Languages:
- English
- ISSNs:
- 0360-5442
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3747.445000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23870.xml