Araştırma Makalesi
BibTex RIS Kaynak Göster

Yıl 2023, Cilt: 12 Sayı: 4, 1298 - 1309, 28.12.2023

Murat Etyemez Kürşat Yıldız Mehmet Akif Yerlikaya

https://doi.org/10.17798/bitlisfen.1383231

Öz

Kaynakça

  • [1] D. Banister, "The sustainable mobility paradigm," Transport Policy, vol. 15, pp. 73-80, 2008.
  • [2] K. T. Geurs and B. van Wee, "Accessibility evaluation of land-use and transport strategies: Review and research directions," Journal of Transport Geography, vol. 12, pp. 127-140, 2004.
  • [3] M. Çelik, S. Cebi, and C. Kahraman, "Multi-criteria decision making methods and their applications in the Turkish transportation sector," Transport Reviews, vol. 29, no. 4, pp. 467-496, 2009.
  • [4] T. Özcan and N. Çelebi, "Determination of the Transportation Mode Using Multi-Criteria Decision Making Methods: A Case Study for Turkey," Transportation Research Procedia, vol. 22, pp. 13-22, 2016.
  • [5] K. Ertugay and E. Eyol, "A Fuzzy MCDM Approach for Urban Transportation Mode Choice: A Case Study in Istanbul," Procedia Computer Science, vol. 120, pp. 569-576, 2017.
  • [6] M. Yazdani, "An overview of multi-criteria decision making methods in transportation systems," Periodica Polytechnica Transportation Engineering, vol. 43, no. 3, pp. 138-143, 2015.
  • [7] C. Kahraman, U. Cebeci, and Z. Z. Ulukan, "Multi-criteria supplier selection using fuzzy AHP," Logistics Information Management, vol. 16, no. 6, pp. 382-394, 2003.
  • [8] T. Demirel, N. Ç. Demirel, and C. Kahraman, "Multi-criteria warehouse location selection using Choquet integral," Expert Systems with Applications, vol. 37, no. 5, pp. 3943-3952, 2010.
  • [9] L. Zhang, J. Yuan, X. Gao, and D. Jiang, "Public transportation development decision-making under public participation: A large-scale group decision-making method based on fuzzy preference relations," Technological Forecasting and Social Change, vol. 172, pp. 121020, 2021, ISSN 0040-1625, https://doi.org/10.1016/j.techfore.2021.121020.
  • [10] L. Kraus, D. Wittowsky, and H. Proff, "Multi-method analysis to identify criteria interrelations for sustainability assessment of urban transportation services," Journal of Cleaner Production, vol. 412, pp. 137416, 2023, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2023.137416.
  • [11] N. Wang, M. Wu, and K. F. Yuen, "A novel method to assess urban multimodal transportation system resilience considering passenger demand and infrastructure supply," Reliability Engineering & System Safety, vol. 238, pp. 109478, 2023, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2023.109478.
  • [12] X. Zhang and Z.S. Xu, "Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets," International Journal of Intelligent Systems, vol. 29, no. 12, pp. 1061-1078, 2014.
  • [13] D. Diakoulaki, G. Mavrotas, and L. Papayannakis, "Determining objective weights in multiple criteria problems: The CRITIC method," Computers & Operations Research, vol. 22, no. 7, pp. 763-770, 1995.
  • [14] M. A. Yerlikaya, "Belirsiz Sipariş Toplama Sistemlerinde Ürün Atama Kriterlerinin Pisagor Bulanık CRITIC Yöntemiyle Önceliklendirilmesi," in Bulanık Çok Kriterli Karar Verme Yöntemleri: MS Excel Çözümlü Uygulamalar, vol. 1, Nobel Akademik Yayıncılık, 2021, pp. 429-440.

Novel Application of Pythagorean Fuzzy MCDM in Prioritizing Transportation Alternatives: Insights from Ankara for the Ministry of Transportation

Yıl 2023, Cilt: 12 Sayı: 4, 1298 - 1309, 28.12.2023

Murat Etyemez Kürşat Yıldız Mehmet Akif Yerlikaya

https://doi.org/10.17798/bitlisfen.1383231

Öz

This study underscores the importance of prioritizing transportation modes in Ankara, particularly given the pivotal role transportation holds in contemporary urban societies. Transportation directly shapes the socio-economic framework of metropolitan areas. To address the complexities of transportation in Ankara, the study introduces a hybrid approach by integrating the Fuzzy CRITIC (Criteria Importance Through Inter-Criteria Correlation) method with the novel Pythagorean Fuzzy Weighted Sum Method. This novel approach assesses the various transportation modes available in Ankara, taking into account pivotal criteria such as cost, duration, reliability, comfort, and flexibility. The hybridized methodology offers a systematic way to determine the weights of each criterion. Then, leveraging these weights, the performance of each transportation mode is calculated and ranked. This integrated approach proves to be a powerful analytical tool for addressing multi-criteria decision-making challenges, especially when confronted with uncertainty and intricate details. The outcomes of this research aim to serve as a cornerstone for the Ankara Ministry of Transportation and other key stakeholders. The insights derived can be pivotal for enhancing the existing transportation infrastructure or for the initiation of new, more efficient projects. Beyond its direct applications, this study emphasizes the versatility and robustness of hybrid multi-criteria decision-making methods, positioning itself as a benchmark for analogous urban transportation challenges. In essence, this research proposes an advanced, scientific strategy to streamline transportation modes in Ankara. It recognizes the intertwined complexities of urban transport and offers a comprehensive analytical approach that can drive transformative decisions in the city's transportation landscape.

Anahtar Kelimeler

Transportation Prioritization Fuzzy CRITIC Fuzzy Weighted Sum Method Transportation Criteria Transportation Planning

Kaynakça

  • [1] D. Banister, "The sustainable mobility paradigm," Transport Policy, vol. 15, pp. 73-80, 2008.
  • [2] K. T. Geurs and B. van Wee, "Accessibility evaluation of land-use and transport strategies: Review and research directions," Journal of Transport Geography, vol. 12, pp. 127-140, 2004.
  • [3] M. Çelik, S. Cebi, and C. Kahraman, "Multi-criteria decision making methods and their applications in the Turkish transportation sector," Transport Reviews, vol. 29, no. 4, pp. 467-496, 2009.
  • [4] T. Özcan and N. Çelebi, "Determination of the Transportation Mode Using Multi-Criteria Decision Making Methods: A Case Study for Turkey," Transportation Research Procedia, vol. 22, pp. 13-22, 2016.
  • [5] K. Ertugay and E. Eyol, "A Fuzzy MCDM Approach for Urban Transportation Mode Choice: A Case Study in Istanbul," Procedia Computer Science, vol. 120, pp. 569-576, 2017.
  • [6] M. Yazdani, "An overview of multi-criteria decision making methods in transportation systems," Periodica Polytechnica Transportation Engineering, vol. 43, no. 3, pp. 138-143, 2015.
  • [7] C. Kahraman, U. Cebeci, and Z. Z. Ulukan, "Multi-criteria supplier selection using fuzzy AHP," Logistics Information Management, vol. 16, no. 6, pp. 382-394, 2003.
  • [8] T. Demirel, N. Ç. Demirel, and C. Kahraman, "Multi-criteria warehouse location selection using Choquet integral," Expert Systems with Applications, vol. 37, no. 5, pp. 3943-3952, 2010.
  • [9] L. Zhang, J. Yuan, X. Gao, and D. Jiang, "Public transportation development decision-making under public participation: A large-scale group decision-making method based on fuzzy preference relations," Technological Forecasting and Social Change, vol. 172, pp. 121020, 2021, ISSN 0040-1625, https://doi.org/10.1016/j.techfore.2021.121020.
  • [10] L. Kraus, D. Wittowsky, and H. Proff, "Multi-method analysis to identify criteria interrelations for sustainability assessment of urban transportation services," Journal of Cleaner Production, vol. 412, pp. 137416, 2023, ISSN 0959-6526, https://doi.org/10.1016/j.jclepro.2023.137416.
  • [11] N. Wang, M. Wu, and K. F. Yuen, "A novel method to assess urban multimodal transportation system resilience considering passenger demand and infrastructure supply," Reliability Engineering & System Safety, vol. 238, pp. 109478, 2023, ISSN 0951-8320, https://doi.org/10.1016/j.ress.2023.109478.
  • [12] X. Zhang and Z.S. Xu, "Extension of TOPSIS to multiple criteria decision making with Pythagorean fuzzy sets," International Journal of Intelligent Systems, vol. 29, no. 12, pp. 1061-1078, 2014.
  • [13] D. Diakoulaki, G. Mavrotas, and L. Papayannakis, "Determining objective weights in multiple criteria problems: The CRITIC method," Computers & Operations Research, vol. 22, no. 7, pp. 763-770, 1995.
  • [14] M. A. Yerlikaya, "Belirsiz Sipariş Toplama Sistemlerinde Ürün Atama Kriterlerinin Pisagor Bulanık CRITIC Yöntemiyle Önceliklendirilmesi," in Bulanık Çok Kriterli Karar Verme Yöntemleri: MS Excel Çözümlü Uygulamalar, vol. 1, Nobel Akademik Yayıncılık, 2021, pp. 429-440.
Toplam 14 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Çok Ölçütlü Karar Verme
Bölüm Araştırma Makalesi
Yazarlar

Murat Etyemez 0009-0008-5932-8760

Kürşat Yıldız 0000-0003-2205-9997

Mehmet Akif Yerlikaya 0000-0003-3084-0257

Erken Görünüm Tarihi 25 Aralık 2023
Yayımlanma Tarihi 28 Aralık 2023
Gönderilme Tarihi 30 Ekim 2023
Kabul Tarihi 15 Aralık 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 12 Sayı: 4

Kaynak Göster

IEEE M. Etyemez, K. Yıldız, ve M. A. Yerlikaya, “Novel Application of Pythagorean Fuzzy MCDM in Prioritizing Transportation Alternatives: Insights from Ankara for the Ministry of Transportation”, Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, c. 12, sy. 4, ss. 1298–1309, 2023, doi: 10.17798/bitlisfen.1383231.
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