ew 22(39): e7

Research Article

Linking Sustainable Mobility Criteria to Policymaking: Results of Multi-Criteria Analysis

Download29 downloads
  • @ARTICLE{10.4108/ew.v9i39.1549,
        author={Alina Safronova and Aiga Barisa and Vladimirs Kirsanovs},
        title={Linking Sustainable Mobility Criteria to Policymaking: Results of Multi-Criteria Analysis},
        journal={EAI Endorsed Transactions on Energy Web},
        volume={9},
        number={39},
        publisher={EAI},
        journal_a={EW},
        year={2022},
        month={6},
        keywords={Transport, policy, survey, TOPSIS},
        doi={10.4108/ew.v9i39.1549}
    }
    
  • Alina Safronova
    Aiga Barisa
    Vladimirs Kirsanovs
    Year: 2022
    Linking Sustainable Mobility Criteria to Policymaking: Results of Multi-Criteria Analysis
    EW
    EAI
    DOI: 10.4108/ew.v9i39.1549
Alina Safronova1,*, Aiga Barisa1, Vladimirs Kirsanovs1
  • 1: Riga Technical University’s Institute of Energy Systems and Environment (IESE), Riga, Latvia
*Contact email: aliina.safronova@gmail.com

Abstract

With increasing emissions from the transport sector, the need to reduce emissions is becoming increasingly acute. The EC's Climate Law aims to re-duce emissions by 55% by 2030, while the growing transport sector is the slowest to meet these targets. Only a few European Union (EU) countries met the 2020 renewable energy source target in the transport sector, which indicates that major changes are needed to meet the new EU requirements. As each country has limited financial resources, it is necessary to assess the impact of the policy before its implementation. In this study, a survey of 19 industry experts was conducted to identify the most promising policy in-struments for reducing emissions in the road transport sector, as well as to identify the most promising fuels for which more resources should be devoted. In this publication, data analysis was performed by the combined Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) methodology. The obtained data can be further used for in-depth analysis such as cost-benefit analysis or complex system dynamics analysis for later use in sustainable policy formulation.