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Balancing climate action for greater transport decarbonization: An avoid-shift-improve driven network data envelopment analysis framework
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DOI：10.1016/j.eneco.2026.109322.png)
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Abstract
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• Develops a network DEA model for hierarchical importance of subunits in parallel structure. • Employs the Avoid–Shift–Improve framework to assess transport decarbonisation progress. • Integrates DEA, Stackelberg game, and BWM to evaluate emission-reduction strategies. • Prioritises and harmonises transport climate actions to maximise decarbonisation gains. • Provides a decision-support tool for policy-driven transport decarbonisation.
Keywords:
Sustainable transport
Avoid-shift-improve
Transport decarbonisation
Just transition
Data envelopment analysis
Stackelberg leader–follower game
Best-worst method
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