Electromobility scenarios: Research findings to inform policy

Heidi Auvinen, Tuuli Järvi, Matthias Kloetzke, Ulrike Kugler, Jan-André Bühne, Felix Heinl, Judith Kurte, Klaus Esser

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

3 Citations (Scopus)

Abstract

Research to inform policy is often challenged with how to genuinely use and implement research findings in decision-making and policy-planning. To begin with, the dialogue between researchers and decision-makers is essential to ensure profound understanding and legitimate interpretations of the results. Furthermore, the step to drawing practical conclusions and process them into actions can only succeed if research findings are diffused to decision-making levels with influence on the matter and mechanisms to knowledge transfer in the presence of a stable, favourable policy environment exist.Research investments into the topic of electromobility in Europe are substantial, and subtopics aiming to inform national policy-makers address a complex set of aspects from environmental and societal to technological and economic. This paper has a two-fold objective, the first of which is to present the results of scenarios to explore electromobility deployment in Finland, Germany and the European Union. The second is to discuss the challenges and solutions to bridge the gap from research findings towards decision-making and policy-planning, using our electromobility scenario work as an example.The electromobility scenarios were built using the VECTOR21 model (Mock, 2010), and the rationale was to simulate vehicle sales and markets under different policy settings and calculate the most economical solution to fulfil regulation on CO2 emissions as set by the European Commission (2009). The model allows calculating the market diffusion of alternative powertrain technologies to the European market until 2030, taking into account different taxation schemes, incentives and other country-specific characteristics. We also present the cost-benefit-analysis of the modelling results to assess the different scenarios and to show variation between regions regarding profitability of alternative technological or political support and interventions.
Original languageEnglish
Pages (from-to)2564-2573
JournalTransportation Research Procedia
Volume14
DOIs
Publication statusPublished - 2016
MoE publication typeA4 Article in a conference publication

Fingerprint

scenario
Decision making
decision making
alternative technology
political intervention
Planning
European market
Cost benefit analysis
planning
political support
Powertrains
knowledge transfer
market
cost-benefit analysis
Taxation
European Commission
profitability
taxation
Finland
sales

Keywords

  • electromobility
  • electric vehicles
  • scenarios
  • transport policy
  • emi

Cite this

Auvinen, H., Järvi, T., Kloetzke, M., Kugler, U., Bühne, J-A., Heinl, F., ... Esser, K. (2016). Electromobility scenarios: Research findings to inform policy. Transportation Research Procedia, 14, 2564-2573. https://doi.org/10.1016/j.trpro.2016.05.346
Auvinen, Heidi ; Järvi, Tuuli ; Kloetzke, Matthias ; Kugler, Ulrike ; Bühne, Jan-André ; Heinl, Felix ; Kurte, Judith ; Esser, Klaus. / Electromobility scenarios : Research findings to inform policy. In: Transportation Research Procedia. 2016 ; Vol. 14. pp. 2564-2573.
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Auvinen, H, Järvi, T, Kloetzke, M, Kugler, U, Bühne, J-A, Heinl, F, Kurte, J & Esser, K 2016, 'Electromobility scenarios: Research findings to inform policy', Transportation Research Procedia, vol. 14, pp. 2564-2573. https://doi.org/10.1016/j.trpro.2016.05.346

Electromobility scenarios : Research findings to inform policy. / Auvinen, Heidi; Järvi, Tuuli; Kloetzke, Matthias; Kugler, Ulrike; Bühne, Jan-André; Heinl, Felix; Kurte, Judith; Esser, Klaus.

In: Transportation Research Procedia, Vol. 14, 2016, p. 2564-2573.

Research output: Contribution to journalArticle in a proceedings journalScientificpeer-review

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T2 - Research findings to inform policy

AU - Auvinen, Heidi

AU - Järvi, Tuuli

AU - Kloetzke, Matthias

AU - Kugler, Ulrike

AU - Bühne, Jan-André

AU - Heinl, Felix

AU - Kurte, Judith

AU - Esser, Klaus

N1 - SDA: SHP: TransSmart

PY - 2016

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AB - Research to inform policy is often challenged with how to genuinely use and implement research findings in decision-making and policy-planning. To begin with, the dialogue between researchers and decision-makers is essential to ensure profound understanding and legitimate interpretations of the results. Furthermore, the step to drawing practical conclusions and process them into actions can only succeed if research findings are diffused to decision-making levels with influence on the matter and mechanisms to knowledge transfer in the presence of a stable, favourable policy environment exist.Research investments into the topic of electromobility in Europe are substantial, and subtopics aiming to inform national policy-makers address a complex set of aspects from environmental and societal to technological and economic. This paper has a two-fold objective, the first of which is to present the results of scenarios to explore electromobility deployment in Finland, Germany and the European Union. The second is to discuss the challenges and solutions to bridge the gap from research findings towards decision-making and policy-planning, using our electromobility scenario work as an example.The electromobility scenarios were built using the VECTOR21 model (Mock, 2010), and the rationale was to simulate vehicle sales and markets under different policy settings and calculate the most economical solution to fulfil regulation on CO2 emissions as set by the European Commission (2009). The model allows calculating the market diffusion of alternative powertrain technologies to the European market until 2030, taking into account different taxation schemes, incentives and other country-specific characteristics. We also present the cost-benefit-analysis of the modelling results to assess the different scenarios and to show variation between regions regarding profitability of alternative technological or political support and interventions.

KW - electromobility

KW - electric vehicles

KW - scenarios

KW - transport policy

KW - emi

U2 - 10.1016/j.trpro.2016.05.346

DO - 10.1016/j.trpro.2016.05.346

M3 - Article in a proceedings journal

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SN - 2352-1457

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