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

Authors

  • Alina Safronova Riga Technical University’s Institute of Energy Systems and Environment (IESE), Riga, Latvia
  • Aiga Barisa Riga Technical University’s Institute of Energy Systems and Environment (IESE), Riga, Latvia
  • Vladimirs Kirsanovs Riga Technical University’s Institute of Energy Systems and Environment (IESE), Riga, Latvia

DOI:

https://doi.org/10.4108/ew.v9i39.1549

Keywords:

Transport, policy, survey, TOPSIS

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.

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References

Ministry of Environmental Protection and Regional Developement Republic of Latvia: Informatīvais ziņojums “Par siltumnīcefekta gāzu emisiju samazināšanas un oglekļa dioksīda piesaistes saistību izpildi” (2020)

European Environment Agency, Greenhouse gas emissions from transport in Europe, https://www.eea.europa.eu/data-and-maps/indicators/transport-emissions-of-greenhouse-gases-7/assessment, last accessed 2021/03/13

European Commission, The European Green Deal (2019)

The European Parliament and the Council of the European Union: European Climate Law. Official Journal of the European Union L 243/1 (2020)

The European Parliament and the Council of the European Union: Directive on the promotion of the use of energy from renewable sources. Official Journal of the European Union L 328/82 (2018)

Cabinet of Ministers of the Republic of Latvia, Latvia's National Energy and Climate Plan for 2021-2030, https://www.em.gov.lv/lv/nacionalais-energetikas-un-klimata-plans, last accessed 2021/03/13

Eurostat, Share of energy from renewable sources [nrg_ind_ren], https://appsso.eurostat.ec.europa.eu/nui/submitViewTableAction.do , last accessed 2021/09/13

M. Marta Bystrzanowska: How can analysts use multicriteria decision analysis? TrAC Trends in Analytical Chemistry 105, 98-105, (2018)

K. Y. Ching-Lai Hwang: Multiple Attribute Decision Making. Methods and Applications A State-of-the-Art Survey., New York: Springer-Verlag, 1981

A.ShanianO.Savadogo: TOPSIS multiple-criteria decision support analysis for material selection of metallic bipolar plates for polymer electrolyte fuel cell. Journal of Power Sources, 159(2), 1095-1104 (2006).

Jing Zhao, Yaoqi Duan, Xiaojuan Liu: Study on the policy of replacing coal-fired boilers with gas-fired boilers for central heating based on the 3E system and the TOPSIS method: A case in Tianjin, China. Energy189, 116206 (2019).

Elzbieta Broniewicz, Karolina Ogrodnik: Multi-criteria analysis of transport infrastructure projects. Transportation Research Part D: Transport and Environment 86, 102351 (2020).

Roman Vavrek, Jana Chovancová: Assessment of economic and environmental energy performance of EU countries using CV-TOPSIS technique. Ecological Indicators106, 105519 (2019).

Xiuxia Zhang, Qingnian Zhang, Tingting Sun, Yongchao Zou, Huanwan Chen: Evaluation of urban public transport priority performance based on the improved TOPSIS method: A case study of Wuhan. Sustainable Cities and Society 43, 357-365 (2018).

Martina Haase, Nils Babenhauserheide, Christine Rösch: Multi criteria decision analysis for sustainability assessment of 2nd generation biofuels. In: Procedia CIRP90, 226-231 (2020).

Yasir Ahmed Solangi, Cheng Longsheng, Syed Ahsan Ali Shah: Assessing and overcoming the renewable energy barriers for sustainable development in Pakistan: An integrated AHP and fuzzy TOPSIS approach. Renewable Energy 173, 209-222 (2021).

Dalmo Marchetti, Peter Wanke: Efficiency of the rail sections in Brazilian railway system, using TOPSIS and a genetic algorithm to analyse optimized scenarios. Transportation Research Part E: Logistics and Transportation Review135, 101858 (2020).

Farhad Samaie, Hassan Meyar-Naimi, Shahram Javadi, Hassan Feshki-Farahani: Comparison of sustainability models in development of electric vehicles in Tehran using fuzzy TOPSIS method. Sustainable Cities and Society 53, 101912 (2020).

Gustavo Piresda Ponte, Rodrigo Flora Calili, Reinaldo Castro Souza: Energy generation in Brazilian isolated systems: Challenges and proposals for increasing the share of renewables based on a multicriteria analysis. Energy for Sustainable Development 61, 74-88 (2021).

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Published

21-06-2022

How to Cite

1.
Safronova A, Barisa A, Kirsanovs V. Linking Sustainable Mobility Criteria to Policymaking: Results of Multi-Criteria Analysis. EAI Endorsed Trans Energy Web [Internet]. 2022 Jun. 21 [cited 2022 Oct. 6];9(39):e7. Available from: https://publications.eai.eu/index.php/ew/article/view/1549