A Multi-Criteria Framework for Economic Decision Support in Urban Sustainability: Comparative Insights from European Cities
DOI:
https://doi.org/10.31181/ijes1412025188Keywords:
Economic performance, Financial pressure, Fiscal sustainability, Sustainable cities, European capitals, MCDM, RAWEC, AROMAN, BordaAbstract
Sustainable urban development has become an economic imperative as cities grapple with escalating environmental, social, and financial pressures. This study evaluates the economic performance and fiscal sustainability of European capitals—Stockholm, Oslo, Copenhagen, Lahti, London, Berlin, Madrid, Paris, Amsterdam, and İstanbul—through a robust Multi-Criteria Decision-Making (MCDM) framework. The analysis incorporates twelve key indicators that reflect not only environmental resilience but also resource efficiency, infrastructure investment, and the economic viability of sustainability policies. These include Scope 1 Emissions, Consumption-Based GHG Emissions, Particulate Air Pollution, Open Public Space, Road Infrastructure Efficiency, Sustainable Transport, Vehicle Dependence, Water Access, Water Consumption, Solid Waste Generated, Climate Change Resilience, and Sustainable Policy Implementation. A hybrid MCDM model combining MEREC-based RAWEC with Extended AROMAN and MARA methods was applied. The MEREC method was used to derive economically weighted priorities among criteria, while final rankings were aggregated using RAWEC, Extended AROMAN, MARA, and Borda Count methods. Results identified Scope 1 emissions as the most economically impactful criterion, while particulate air pollution had a lower fiscal weighting. Cities such as Stockholm, Oslo, and Copenhagen consistently emerged as top performers due to their cost-effective and forward-looking urban sustainability policies. In contrast, Paris, İstanbul, and Amsterdam demonstrated lower cost-efficiency scores. Sensitivity analysis further validated the model's reliability. This framework not only supports environmental assessment but also informs economic decision-making by guiding policymakers toward fiscally responsible and sustainable urban planning strategies.
Downloads
References
Bibri, S. E., & Krogstie, J. (2017). Smart sustainable cities of the future: An extensive interdisciplinary literature review. Sustainable Cities and Society, 31, 183-212. https://doi.org/10.1016/j.scs.2017.02.016
Das, D. K. (2025). Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review of Literature and Case Studies. Urban Science, 9(3), 72. https://doi.org/10.3390/urbansci9030072
Sodiq, A., Baloch, A. A., Khan, S. A., Sezer, N., Mahmoud, S., Jama, M., & Abdelaal, A. (2019). Towards modern sustainable cities: Review of sustainability principles and trends. Journal of Cleaner Production, 227, 972-1001. https://doi.org/10.1016/j.jclepro.2019.04.106
Liu, H. Y., Ahmed, S., Passani, A., & Bartonova, A. (2023). Understanding the role of cities and citizen science in advancing sustainable development goals across Europe: insights from European research framework projects. Frontiers in Sustainable Cities, 5, 1219768. https://doi.org/10.3389/frsc.2023.1219768
Akande, A., Cabral, P., Gomes, P., & Casteleyn, S. (2019). The Lisbon ranking for smart sustainable cities in Europe. Sustainable Cities and Society, 44, 475-487. https://doi.org/10.1016/j.scs.2018.10.009
Serbanica, C., & Constantin, D. L. (2017). Sustainable cities in central and eastern European countries. Moving towards smart specialization. Habitat International, 68, 55-63. https://doi.org/10.1016/j.habitatint.2017.03.005
Torrie, R., & Morson, N. (2023). Corporate Knights Sustainable Cities Index Report 2023. Available at: https://www.corporateknights.com/rankings/sustainable-cities-rankings/ (12.05.2025)
Giffinger, R., & Gudrun, H. (2010). Smart cities ranking: an effective instrument for the positioning of the cities? ACE: Architecture, City and Environment, 4(12), 7-26. https://doi.org/10.5821/ace.v4i12.2483
Watson, J. (2009). European Green City Index: Assessing the Environmental Impact of Europe's Major Cities; a Research Project. Siemens AG.
Gulsrud, N. M., Ostoić, S. K., Faehnle, M., Maric, B., Paloniemi, R., Pearlmutter, D., & Simson, A. J. (2017). Challenges to governing urban green infrastructure in Europe - The case of the European Green Capital Award. The Urban Forest: Cultivating Green Infrastructure for People and the Environment, 235-258. https://doi.org/10.1007/978-3-319-50280-9_19
Meijering, J. V., Kern, K., & Tobi, H. (2014). Identifying the methodological characteristics of European green city rankings. Ecological Indicators, 43, 132-142. https://doi.org/10.1016/j.ecolind.2014.02.026
Narang, M., Kumar, A., & Dhawan, R. (2023). A fuzzy extension of MEREC method using parabolic measure and its applications. Journal of Decision Analytics and Intelligent Computing, 3(1), 33-46. https://doi.org/10.31181/jdaic10020042023n
Nikolić, I., Milutinović, J., Božanić, D., & Dobrodolac, M. (2023). Using an interval type-2 fuzzy AROMAN decision-making method to improve the sustainability of the postal network in rural areas. Mathematics, 11(14), 3105. https://doi.org/10.3390/math11143105
Kawecka, E., Perec, A., & Radomska-Zalas, A. (2024). Use of the simple multicriteria decision-making (MCDM) method for optimization of the high-alloy steel cutting process by the abrasive water jet. Spectrum of Mechanical Engineering and Operational Research, 1(1), 111-120. https://doi.org/10.31181/smeor11202411
Štilić, A., Puška, A., Božanić, D., & Đurić, A. (2024). Ranking European Countries Using Hybrid MEREC-MARCOS MCDA Based on Travel and Tourism Development Index. Tourism: An International Interdisciplinary Journal, 72(4), 592-608. https://doi.org/10.37741/t.72.4.6
Roszkowska, E., Filipowicz-Chomko, M., Górecka, D., & Majewska, E. (2024). Sustainable Cities and Communities in EU Member States: A Multi-Criteria Analysis. Sustainability, 17(1), 22. https://doi.org/10.3390/su17010022
Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry, 13(4), 525. https://doi.org/10.3390/sym13040525
Puška, A., Štilić, A., Pamučar, D., Božanić, D., & Nedeljković, M. (2024). Introducing a Novel multi-criteria Ranking of Alternatives with Weights of Criterion (RAWEC) model. MethodsX, 102628. https://doi.org/10.1016/j.mex.2024.102628
Bošković, S., Švadlenka, L., Dobrodolac, M., Jovčić, S., & Zanne, M. (2023). An extended AROMAN method for cargo bike delivery concept selection. Decision Making Advances, 1(1), 1-9. https://doi.org/10.31181/v120231
Gligorić, M., Gligorić, Z., Lutovac, S., Negovanović, M., & Langović, Z. (2022). Novel hybrid MPSI-MARA decision-making model for support system selection in an underground mine. Systems, 10(6), 248. https://doi.org/10.3390/systems10060248
Ecer, F. (2021). A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies. Renewable and Sustainable Energy Reviews, 143, 110916. https://doi.org/10.1016/j.rser.2021.110916
Andersson, E. (2006). Urban landscapes and sustainable cities. Ecology and Society, 11(1).
Bai, X., Surveyer, A., Elmqvist, T., Gatzweiler, F. W., Güneralp, B., Parnell, S., ... & Webb, R. (2016). Defining and advancing a systems approach for sustainable cities. Current Opinion in Environmental Sustainability, 23, 69-78. https://doi.org/10.1016/j.cosust.2016.11.010
Yi, P., Li, W., & Zhang, D. (2019). Assessment of city sustainability using MCDM with interdependent criteria weight. Sustainability, 11(6), 1632. https://doi.org/10.3390/su11061632
Chen, Z. (2020). Evaluating Sustainable Liveable City via Multi-MCDM and Hopfield Neural Network. Mathematical Problems in Engineering, 2020(1), 4189527. https://doi.org/10.1155/2020/4189527
Ozkaya, G., & Erdin, C. (2020). Evaluation of smart and sustainable cities through a hybrid MCDM approach based on ANP and TOPSIS technique. Heliyon, 6(10). https://doi.org/10.1016/j.heliyon.2020.e05052
Hajduk, S. (2021). Multi-criteria analysis of smart cities on the example of the Polish cities. Resources, 10(5), 44. https://doi.org/10.3390/resources10050044
Klumbytė, E., Bliūdžius, R., Medineckienė, M., & Fokaides, P. A. (2021). An MCDM model for sustainable decision-making in municipal residential buildings facilities management. Sustainability, 13(5), 2820. https://doi.org/10.3390/su13052820
Adali, E. A., Öztaş, G. Z., Öztaş, T., & Tuş, A. (2022). Assessment of European cities from a smartness perspective: An integrated grey MCDM approach. Sustainable Cities and Society, 84, 104021. https://doi.org/10.1016/j.scs.2022.104021
Kusakci, S., Yilmaz, M. K., Kusakci, A. O., Sowe, S., & Nantembelele, F. A. (2022). Towards sustainable cities: A sustainability assessment study for metropolitan cities in Turkey via a hybridized IT2F-AHP and COPRAS approach. Sustainable Cities and Society, 78, 103655. https://doi.org/10.1016/j.scs.2021.103655
Komasi, H., Nemati, A., Zolfani, S. H., Kahvand, M., Antuchevičienė, J., & Šaparauskas, J. (2023). Assessing the environmental competitiveness of cities based on a novel MCDM approach. Journal of Competitiveness, 15(2), 121-150. https://doi.org/10.7441/joc.2023.02.07
Kutty, A. A., Kucukvar, M., Onat, N. C., Ayvaz, B., & Abdella, G. M. (2023). Measuring sustainability, resilience and livability performance of European smart cities: A novel fuzzy expert-based multi-criteria decision support model. Cities, 137, 104293. https://doi.org/10.1016/j.cities.2023.104293
Brodny, J., Tutak, M., & Bindzár, P. (2024). Measuring and Assessing the Level of Living Conditions and Quality of Life in Smart Sustainable Cities in Poland - Framework for Evaluation Based on MCDM Methods. Smart Cities, 7(3), 1221-1260. https://doi.org/10.3390/smartcities7030052
Lin, S. S., & Zheng, X. J. (2025). Enhancing smart city assessment: An advanced MCDM approach for urban performance evaluation. Sustainable Cities and Society, 118, 105930. https://doi.org/10.1016/j.scs.2024.105930
Martos, A., Pacheco-Torres, R., Ordóñez, J., & Jadraque-Gago, E. (2016). Towards successful environmental performance of sustainable cities: Intervening sectors. A review. Renewable and Sustainable Energy Reviews, 57, 479-495. https://doi.org/10.1016/j.rser.2015.12.095
Huovila, A., Bosch, P., & Airaksinen, M. (2019). Comparative analysis of standardized indicators for Smart sustainable cities: What indicators and standards to use and when? Cities, 89, 141-153. https://doi.org/10.1016/j.cities.2019.01.029
Abu-Rayash, A., & Dincer, I. (2021). Development of integrated sustainability performance indicators for better management of smart cities. Sustainable Cities and Society, 67, 102704. https://doi.org/10.1016/j.scs.2020.102704
Karal, F. S., & Soyer, A. (2024). A systematic literature review: Setting a basis for smart and sustainable city performance measurement. Sustainable Development, 32(1), 555-573. https://doi.org/10.1002/sd.2693
Reilly, B. (2002). Social choice in the South Seas: Electoral innovation and the Borda count in the Pacific Island countries. International Political Science Review, 23(4), 355-372.
Demir, G., Chatterjee, P., & Pamucar, D. (2024). Sensitivity analysis in multi-criteria decision making: A state-of-the-art research perspective using bibliometric analysis. Expert Systems with Applications, 237, 121660. https://doi.org/10.1016/j.eswa.2023.121660
Więckowski, J., Kizielewicz, B., & Sałabun, W. (2024). A multi-dimensional sensitivity analysis approach for evaluating the robustness of renewable energy sources in European countries. Journal of Cleaner Production, 469, 143225. https://doi.org/10.1016/j.jclepro.2024.143225
Van Dua, T., Van Duc, D., Bao, N. C., & Trung, D. D. (2024). Integration of objective weighting methods for criteria and MCDM methods: application in material selection. EUREKA: Physics and Engineering, (2), 131-148. https://doi.org/10.21303/2461-4262.2024.003171
Sowby, R. B., & Capener, A. (2022). Reducing carbon emissions through water conservation: An analysis of 10 major US cities. Energy Nexus, 7, 100094. https://doi.org/10.1016/j.nexus.2022.100094
Ma, J., Yin, Z., & Cai, J. (2022). Efficiency of urban water supply under carbon emission constraints in China. Sustainable Cities and Society, 85, 104040. https://doi.org/10.1016/j.scs.2022.104040
Anand, A., Rufuss, D. D. W., Rajkumar, V., & Suganthi, L. (2017). Evaluation of sustainability indicators in smart cities for India using MCDM approach. Energy Procedia, 141, 211-215. https://doi.org/10.1016/j.egypro.2017.11.094
Wang, Q., Dai, H. N., & Wang, H. (2017). A smart MCDM framework to evaluate the impact of air pollution on city sustainability: A case study from China. Sustainability, 9(6), 911. https://doi.org/10.3390/su9060911
Liu, L., Fryd, O., & Zhang, S. (2019). Blue-green infrastructure for sustainable urban stormwater management - lessons from six municipality-led pilot projects in Beijing and Copenhagen. Water, 11(10), 2024. https://doi.org/10.3390/w11102024
Krähmer, K. (2021). Are green cities sustainable? A degrowth critique of sustainable urban development in Copenhagen. European Planning Studies, 29(7), 1272-1289. https://doi.org/10.1080/09654313.2020.1841119
Baraniewicz-Kotasińska, S. (2022). The Scandinavian third way as a proposal for sustainable smart city development - A case study of Aarhus city. Sustainability, 14(6), 3495. https://doi.org/10.3390/su14063495
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Emre Kadir Özekenci (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.