A Transport Policy Tool for Reduction of Co2 Emissions in Finland: Visions, Scenarios and Pathways using Pluralistic Backcasting Method

Tuuli Järvi, Anu Tuominen, Petri Tapio, Vilja Varho

Research output: Contribution to journalArticleScientificpeer-review

4 Citations (Scopus)

Abstract

The reduction of greenhouse gas emission was the basis of a Delphi study where expert opinions about future development were asked and used to form visions of the future, and further elaborated to scenarios using a pluralistic backcasting method. A new innovative approach on how to use and combine methods and data from various disciplines in scenario modelling, on transport policy packaging and determining pathways to reach the desired futures, is presented for two of the visions analysed in detail. This paper focuses on the diverse methods and data used while the scientific background of the backcasting method has already been published in Tuominen et al. (2014).
Original languageEnglish
Pages (from-to)185-198
JournalTransportation Research Procedia
Volume11
DOIs
Publication statusPublished - 2015
MoE publication typeA1 Journal article-refereed

Fingerprint

Gas emissions
Greenhouse gases
Finland
Packaging
scenario
expert

Keywords

  • transport
  • emission reduction
  • impact assessment
  • scenarios
  • policy packages
  • backasting

Cite this

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A Transport Policy Tool for Reduction of Co2 Emissions in Finland : Visions, Scenarios and Pathways using Pluralistic Backcasting Method. / Järvi, Tuuli; Tuominen, Anu; Tapio, Petri; Varho, Vilja.

In: Transportation Research Procedia, Vol. 11, 2015, p. 185-198.

Research output: Contribution to journalArticleScientificpeer-review

TY - JOUR

T1 - A Transport Policy Tool for Reduction of Co2 Emissions in Finland

T2 - Visions, Scenarios and Pathways using Pluralistic Backcasting Method

AU - Järvi, Tuuli

AU - Tuominen, Anu

AU - Tapio, Petri

AU - Varho, Vilja

PY - 2015

Y1 - 2015

N2 - The reduction of greenhouse gas emission was the basis of a Delphi study where expert opinions about future development were asked and used to form visions of the future, and further elaborated to scenarios using a pluralistic backcasting method. A new innovative approach on how to use and combine methods and data from various disciplines in scenario modelling, on transport policy packaging and determining pathways to reach the desired futures, is presented for two of the visions analysed in detail. This paper focuses on the diverse methods and data used while the scientific background of the backcasting method has already been published in Tuominen et al. (2014).

AB - The reduction of greenhouse gas emission was the basis of a Delphi study where expert opinions about future development were asked and used to form visions of the future, and further elaborated to scenarios using a pluralistic backcasting method. A new innovative approach on how to use and combine methods and data from various disciplines in scenario modelling, on transport policy packaging and determining pathways to reach the desired futures, is presented for two of the visions analysed in detail. This paper focuses on the diverse methods and data used while the scientific background of the backcasting method has already been published in Tuominen et al. (2014).

KW - transport

KW - emission reduction

KW - impact assessment

KW - scenarios

KW - policy packages

KW - backasting

U2 - 10.1016/j.trpro.2015.12.016

DO - 10.1016/j.trpro.2015.12.016

M3 - Article

VL - 11

SP - 185

EP - 198

JO - Transportation Research Procedia

JF - Transportation Research Procedia

SN - 2352-1457

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