Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Who Gains and Who Loses in the Shift to Electric Vehicles: Impact Assessment through Multi-criteria Multi-stakeholder Analysis
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
2017 (English)In: Procedia Environmental Sciences, ISSN 1878-0296, Vol. 37, 257-268 p.Article in journal (Refereed) Published
Abstract [en]

Studying the case of the subsidy for electric vehicles in Great Britain (“plug-in car grant”), this research suggests an integrated impact assessment approach by coupling policy issue system modeling with stakeholder preference elicitation.

In particular, we utilize fuzzy cognitive mapping to model the policy issue as a dynamic and complex system. We further simulate the subsidy policy in the model to estimate the changes in select policy aspects. The simulation outcomes are assessed through perspectives of stakeholder groups. For the latter task, nine stakeholder groups were identified and profiled by conducting content analysis and applying the novel CAR method.

Place, publisher, year, edition, pages
2017. Vol. 37, 257-268 p.
Keyword [en]
stakeholder analysis, impact assessment, electric vehicles, public policy analysis, multi-criteria assessment
National Category
Information Systems
Research subject
Information Society
Identifiers
URN: urn:nbn:se:su:diva-150362DOI: 10.1016/j.proenv.2017.03.057OAI: oai:DiVA.org:su-150362DiVA: diva2:1167146
Available from: 2017-12-18 Created: 2017-12-18 Last updated: 2018-01-13Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Talantsev, Anton
By organisation
Department of Computer and Systems Sciences
Information Systems

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf