Invisible Walls to Green Mobility: Barriers to Sustainable Transportation in Izmir

Authors

DOI:

https://doi.org/10.31181/sdmap31202653

Keywords:

Sustainable transportation, SWARA, Barriers, MCDM

Abstract

The need for sustainable transportation has come to the forefront due to rapidly increasing population growth in metropolitan areas, increasing motor vehicle use, and deepening environmental problems. Izmir, the third-largest city in Turkey, has faced multidimensional transportation problems such as traffic congestion, air pollution, inadequate public transportation infrastructure, and social injustice in transportation. In order to solve these problems, it is necessary to systematically identify and prioritize the barriers to sustainable transportation throughout the city. In this study, the SWARA (Step-wise Weight Assessment Ratio Analysis) method, a popular Multi-Criteria Decision-Making (MCDM) method, was used to evaluate the barriers to sustainable transportation in Izmir under five different main dimensions: “environmentally friendly transportation,” “inclusive and accessible transportation,” “public transport quality,” “governance and digitalization,” and “safe urban mobility.” This method was applied to evaluate barriers to sustainable transportation in Izmir. The findings revealed that geographical/topographical constraints, lack of funding for accessibility, lack of digital infrastructure, and lack of emergency notification systems are the most important barriers to the development of sustainable transportation. This study provides a quantitative prioritization framework for decision-makers in developing sustainable transportation strategies in Izmir and highlights the need for holistic, data-driven planning approaches. As a result, the prioritized barriers and constraints identified contribute to the strategic planning and roadmap development in sustainable transportation for relevant stakeholders, especially Izmir's transportation department.

Downloads

Download data is not yet available.

References

Pathak, D. K., Shankar, R., & Choudhary, A. (2021). Performance assessment framework based on competitive priorities for sustainable freight transportation systems. Transportation Research Part D: Transport and Environment, 90, 102663. https://doi.org/10.1016/j.trd.2020.102663

Sharma, S. K., Upadhyay, R. K., Kumar, V., & Valera, H. (2023). Introduction to sustainable transportation system. In S. K. Sharma, R. K. Upadhyay, V. Kumar, & H. Valera (Eds.), Transportation energy and dynamics (pp. 1–12). Springer. https://doi.org/10.1007/978-981-99-2150-8_1

Chun, J., Moody, J., & Zhao, J. (2019). Transportation policymaking in Beijing and Shanghai: Contributors, obstacles, and process. Case Studies on Transport Policy, 7(4), 718–731. https://doi.org/10.1016/j.cstp.2019.09.003

TURKSTAT. (2024, February 1). Address based population registration system results, 2023. Turkish Statistical Institute. https://data.tuik.gov.tr/Bulten/Index?p=Adrese-Dayali-Nufus-Kayit-Sistemi-Sonuclari-2023-45678

SKUP. (2025). Accessible transportation strategy and action plan 2021–2025. Republic of Turkey Ministry of Transport and Infrastructure. https://www.uab.gov.tr/uploads/announcements/erisilebilir-ulasim-stratejisi-ve-eylem-plani-2021/erisilebilir-ulasim-stratejisi-ve-eylem-plani-2021-2025.pdf

Keshavarz-Ghorabaee, M. (2023). Using SWARA II for subjective evaluation of transport emissions reduction policies. The Open Transportation Journal, 17(1), e187444782309190. https://doi.org/10.2174/0126671212271963230922093258

Zolfani, S. H., & Saparauskas, J. (2013). New application of SWARA method in prioritizing sustainability assessment indicators of energy system. Engineering Economics, 24(5), 408–414. https://doi.org/10.5755/j01.ee.24.5.4526

Radović, D., & Stević, Ž. (2018). Evaluation and selection of KPI in transport using SWARA method. Transport & Logistics: The International Journal, 8(44), 60–68.

Pamucar, D., Yazdani, M., Montero-Simo, M. J., Araque-Padilla, R. A., & Mohammed, A. (2021). Multi-criteria decision analysis towards robust service quality measurement. Expert Systems with Applications, 170, 114508. https://doi.org/10.1016/j.eswa.2020.114508

Erturgut, R., & Koç Ustalı, N. (2021). Kent içi raylı ulaşım performansını değerlendirmede SWARA ve ARAS yöntemleri ile bir model önerisi – A model proposal with SWARA and ARAS methods in evaluation of urban rail transport performance. Verimlilik Dergisi, (3), 35–53. https://doi.org/10.51551/verimlilik.762067

Pajić, V., Andrejić, M., & Kilibarda, M. (2022). Sustainable transportation mode selection from the freight forwarder's perspective in trading with western EU countries. Sustainable Futures, 4, 100090. https://doi.org/10.1016/j.sftr.2022.100090

Stević, Ž., Das, D. K., Tešić, R., Vidas, M., & Vojinović, D. (2022). Objective criticism and negative conclusions on using the fuzzy SWARA method in multi-criteria decision making. Mathematics, 10(4), 635. https://doi.org/10.3390/math10040635

Keshavarz-Ghorabaee, M. (2023). Using SWARA II for subjective evaluation of transport emissions reduction policies. The Open Transportation Journal, 17(1). https://doi.org/10.2174/0126671212271963230922093258

Bouraima, M. B., Qiu, Y., Stević, Ž., & Simić, V. (2023). Assessment of alternative railway systems for sustainable transportation using an integrated IRN SWARA and IRN CoCoSo model. *Socio-Economic Planning Sciences, 86*, 101475. https://doi.org/10.1016/j.seps.2022.101475

Moslem, S., Stević, Ž., Tanackov, I., & Pilla, F. (2023). Sustainable development solutions of public transportation: An integrated IMF SWARA and Fuzzy Bonferroni operator. Sustainable Cities and Society, 93, 104530. https://doi.org/10.1016/j.scs.2023.104530

Kabakuş, N., & Eyüboğlu, M. (2024). Using SWARA method for evaluation of factors affecting pedestrian safety at intersections. Bitlis Eren University Journal of Science and Technology, 14(1), 43–57. https://doi.org/10.17678/beuscitech.1483449

Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243–258. https://doi.org/10.3846/jbem.2010.12

Tanackov, I., Badi, I., Stević, Ž., Pamučar, D., Zavadskas, E. K., & Bausys, R. (2022). A novel hybrid interval rough SWARA–interval rough ARAS model for evaluation strategies of cleaner production. Sustainability, 14(7), 4343. https://doi.org/10.3390/su14074343

Stanujkic, D., Karabasevic, D., & Zavadskas, E. K. (2015). A framework for the selection of a packaging design based on the SWARA method. Engineering Economics, 26(2), 181–187. https://doi.org/10.5755/j01.ee.26.2.8820

Yazdani, M., Pamucar, D., Chatterjee, P., & Torkayesh, A. E. (2022). A multi-tier sustainable food supplier selection model under uncertainty. Operations Management Research, 15(1), 116–145. https://doi.org/10.1007/s12063-021-00186-z

Hashemkhani Zolfani, S., Yazdani, M., & Zavadskas, E. K. (2018). An extended stepwise weight assessment ratio analysis (SWARA) method for improving criteria prioritization process. Soft Computation, 22, 7399–7405. https://doi.org/10.1007/s00500-018-3092-2

Kaya, S. K., & Erginel, N. (2020). Futuristic airport: A sustainable airport design by integrating hesitant fuzzy SWARA and hesitant fuzzy sustainable quality function deployment. Journal of Cleaner Production, 275, 123880. https://doi.org/10.1016/j.jclepro.2020.123880

Sremac, S., Stević, Ž., Pamučar, D., Arsić, M., & Matić, B. (2018). Evaluation of a third-party logistics (3PL) provider using a rough SWARA–WASPAS model based on a new rough dombi aggregator. Symmetry, 10(8), 305. https://doi.org/10.3390/sym10080305

Published

2025-05-10

How to Cite

Çilingir, D., Öztürk, H. H., & Kaya, K. (2025). Invisible Walls to Green Mobility: Barriers to Sustainable Transportation in Izmir. Spectrum of Decision Making and Applications, 3(1), 151-163. https://doi.org/10.31181/sdmap31202653