Araştırma Makalesi
BibTex RIS Kaynak Göster

Kent içi ulaşımda performans ve verimlilik ölçümü: Entropi ve veri zarflama analizi ile ampirik bir değerlendirme

Yıl 2025, Cilt: 15 Sayı: 4, 1133 - 1149, 15.12.2025
https://doi.org/10.17714/gumusfenbil.1753913

Öz

Kent yaşamının önemli unsurlarından biri olan kent içi toplu taşıma, kentlerin gelişmişlik düzeyini belirleyen temel göstergelerinden bir tanesidir. Özellikle büyükşehirlerde yaşanan trafik yoğunluğu, hava kirliliği, gürültü, fazla enerji tüketimi vb. birçok sorunun çözümünde ortak nokta olan kent içi toplu taşıma sektöründe, kaynakların en iyi şekilde kullanılması ve hizmet kalitesinin arttırılması zorunluluk haline gelmektedir. Bu çalışma, Türkiye'deki sekiz büyükşehir belediyesindeki toplu taşıma sistemlerinin verimliliğini Veri Zarflama Analizi (VZA) kullanarak değerlendirmeyi amaçlamaktadır. Ayrıca, her bir girdi ve çıktı değişkeninin göreceli önemini değerlendirmek için entropi yöntemi kullanılmıştır. Elde edilen bulgular hem belediyelere yol gösterici hem de literatüre katkı sağlayıcı niteliktedir. Verimli olmayan belediyelerin, kendilerine referans olan verimli belediyelerin uygulamalarını inceleyerek potansiyel iyileştirme alanlarını belirleyebileceğini ortaya koymaktadır. Sonuç olarak, bu bulgular, belediyelerin toplu taşıma sistemlerinde verimliliği artırmalarına ve sürdürülebilir kentsel hareketlilik politikaları geliştirmelerine doğrudan katkı sağlamaktadır.

Kaynakça

  • Barbaros, F. (2022). Batı Karadeniz Havzası yağış değişkenliklerinin entropi tabanlı bir yaklaşımla değerlendirilmesi. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 12(1), 344-356. https://doi.org/10.17714/gumusfenbil.995514
  • Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring efficiency of decision-making units. European Journal of Operational Research, 2, 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Colbert, A., Levary, R. R. & Shaner, M.C. (2000). determining the relative efficiency of mba programs using DEA. European Journal of Operational Research, 125(3), 656–669. https://doi.org/10.1016/S0377-2217(99)00275-1
  • Dinçtürk, C., & Açıksöz, S. (2022). Kent gelişiminde sürdürülebilirliği yakalama kaygısı: Bartın örneği. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 12(1), 1-11. https://doi.org/10.17714/gumusfenbil.894107
  • Emrouznejad, A., & Yang, G. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4–8. https://doi.org/10.1016/j.seps.2017.01.008
  • Forouzandeh, F., Arman, H., Hadi-Vencheh, A. & Rahimi, A.M. (2022). A combination of DEA and AIMSUN to manage big data when evaluating the performance of bus lines. Information Sciences, 618, 72–86. https://doi.org/10.1016/j.ins.2022.10.044
  • Georgiadis, G., Politis, I. & Papaioannou, P. (2014). Measuring and improving the efficiency and effectiveness of bus public transport systems. Research in Transportation Economics, 48, 84–91. https://doi.org/10.1016/j.retrec.2014.09.035
  • Georgiadis, G., Kopsacheilis, A., Andreadis, I.M. & Politis, I. (2024). Analyzing efficiency and built environment factors for achieving convenient access to public transport: A Europe-wide DEA application. Environmental Science & Policy, 158, 103792.
  • Gadepalli, R. & Rayaprolu, S. (2020). Factors affecting performance of urban bus transport systems in India: A Data Envelopment Analysis (DEA) based approach. Transportation Research Procedia, 48, 1789-1804.
  • Güner, S., Taşkın, K. & Gürler, G. (2017). Şehir içi toplu taşıma hatlarının hizmet etkinliğinin veri zarflama analizi ile ölçülmesi: özel ve kamu işletmelerinin karşılaştırılması. İşletme Bilimi Dergisi, 5(3), 127-145. https://doi.org/10.22139/jobs.339869
  • Haas, D.A. & Murphy, F. (2003). Compensating for non-homogeneity in decision-making units in data envelopment analysis. European Journal of Operational Research, 144(3), 530–544. https://doi.org/10.1016/S0377-2217(02)00139-X
  • Izadikhah, M., Azadi, M., Toloo, M. & Hussain, F.K. (2021). Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach. Applied Soft Computing, 113, Part B, 107879. https://doi.org/10.1016/j.asoc.2021.107879
  • Karim, Z. & Fouad, J. (2018). Measuring urban public transport performance on route level: A literature review. In Proceedings of the International Workshop on Transportation and Supply Chain Engineering (IWTSCE’18), Rabat, Morocco, Volume 200, p. 00021.
  • Karlaftis, M.G. (2004). A DEA approach for evaluating the efficiency and effectiveness of urban transit systems. European Journal of Operational Research, 152(2), 354-364. https://doi.org/10.1016/S0377-2217(03)00029-8
  • Lao, Y. & Liu, L. (2009). Performance evaluation of bus lines with data envelopment analysis and geographic information systems. Computers, Environment and Urban Systems, 33(4), 247-255. https://doi.org/10.1016/j.compenvurbsys.2009.01.005
  • Litman, T. (2015). Evaluating Public Transit Benefits and Costs; Victoria Transport Policy Institute: Victoria, BC, Canada.
  • Liu, Z., Wu, N., Qiao, Y. & Li, Z. (2021). Performance evaluation of public bus transportation using DEA models and Shannon's entropy: An example from a company in a large city of China. IEEE/CAA Journal of Automatica Sinica, 8(4), 779-795. https://doi.org/10.1109/JAS.2020.1003405
  • Masoumi, M. & Öcalır-Akünal, E.V. (2018). Türkiye’deki kent içi raylı ulaşım sistemlerinin performanslarının veri zarflama analizi ile karşılaştırılması. Politeknik Dergisi, 21(4), 971-975. https://doi.org/10.2339/politeknik.391798
  • Nolan, J.F. (1996). Determinants of productive efficiency in urban transit. Logistics and Transportation Review, 32 (3), 319–342.
  • Noor, N., Mehmood, B. & Wasif, M. (2018). Efficiency Analysis of Public Transport in Lahore, Pakistan. Pakistan Journal of Applied Economics, Special Issue, 28(1) 357–376.
  • Pina, V. & Torres, L. (2001). Analysis of the efficiency of local government services delivery. An application to urban public transport. Transportation Research Part A: Policy and Practice, 35, 929–944. https://doi.org/10.1016/S0965-8564(00)00033-1
  • Sanchez, G. (2009). Technical and scale efficiency in Spanish urban transport: Estimating with data envelopment analysis. Advances in Operations Research, 721279. https://doi.org/10.1155/2009/721279
  • Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  • Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. (2011). A Fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160–12167. https://doi.org/10.1016/j.eswa.2011.03.027
  • Tsolas, I.E. (2021). Performance Evaluation of Electric Trolley Bus Routes. A Series Two-Stage DEA Approach. Infrastructures, 6, 44.
  • Viton, P.A. (1997). Technical efficiency in multi-mode bus transit: A production frontier analysis. Transportation Research B, 31, 23–39. https://doi.org/10.1016/S0191-2615(96)00019-7
  • Yıldırım, B. & Önder, E. (2015) Operasyonel, yönetsel ve stratejik problemlerin çözümünde çok kriterli karar verme teknikleri, (2nd ed.). Dora Yayınları.

Performance and efficiency measurement in urban transportation: an empirical assessment with Entropy and data envelopment analysis

Yıl 2025, Cilt: 15 Sayı: 4, 1133 - 1149, 15.12.2025
https://doi.org/10.17714/gumusfenbil.1753913

Öz

Urban public transportation, a crucial element of urban life, is one of the key indicators determining a city's level of development. The urban public transportation sector, a standard solution to many problems experienced in metropolitan cities, such as traffic congestion, air pollution, noise, and excessive energy consumption, makes it imperative to use resources best and improve service quality. This study aims to evaluate the efficiency of public transportation systems in eight metropolitan municipalities in Türkiye using Data Envelopment Analysis (DEA). Furthermore, the entropy method assessed the relative importance of each input and output variable. The findings guide municipalities and contribute to the literature. It demonstrates that inefficient municipalities can identify potential areas for improvement by examining the practices of their benchmark, efficient municipalities. This study provides an empirical assessment of the bus systems of eight metropolitan municipalities in Türkiye using DEA and Entropy weighting methods, offering actionable insights for optimizing resource utilization, enhancing public transport service quality, and informing the development of sustainable urban mobility policies. As a result, these findings directly contribute to municipalities increasing the efficiency of their public transport systems and improving sustainable acceleration mobility policies.

Kaynakça

  • Barbaros, F. (2022). Batı Karadeniz Havzası yağış değişkenliklerinin entropi tabanlı bir yaklaşımla değerlendirilmesi. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 12(1), 344-356. https://doi.org/10.17714/gumusfenbil.995514
  • Charnes, A., Cooper, W.W., & Rhodes, E. (1978). Measuring efficiency of decision-making units. European Journal of Operational Research, 2, 429–444. https://doi.org/10.1016/0377-2217(78)90138-8
  • Colbert, A., Levary, R. R. & Shaner, M.C. (2000). determining the relative efficiency of mba programs using DEA. European Journal of Operational Research, 125(3), 656–669. https://doi.org/10.1016/S0377-2217(99)00275-1
  • Dinçtürk, C., & Açıksöz, S. (2022). Kent gelişiminde sürdürülebilirliği yakalama kaygısı: Bartın örneği. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 12(1), 1-11. https://doi.org/10.17714/gumusfenbil.894107
  • Emrouznejad, A., & Yang, G. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4–8. https://doi.org/10.1016/j.seps.2017.01.008
  • Forouzandeh, F., Arman, H., Hadi-Vencheh, A. & Rahimi, A.M. (2022). A combination of DEA and AIMSUN to manage big data when evaluating the performance of bus lines. Information Sciences, 618, 72–86. https://doi.org/10.1016/j.ins.2022.10.044
  • Georgiadis, G., Politis, I. & Papaioannou, P. (2014). Measuring and improving the efficiency and effectiveness of bus public transport systems. Research in Transportation Economics, 48, 84–91. https://doi.org/10.1016/j.retrec.2014.09.035
  • Georgiadis, G., Kopsacheilis, A., Andreadis, I.M. & Politis, I. (2024). Analyzing efficiency and built environment factors for achieving convenient access to public transport: A Europe-wide DEA application. Environmental Science & Policy, 158, 103792.
  • Gadepalli, R. & Rayaprolu, S. (2020). Factors affecting performance of urban bus transport systems in India: A Data Envelopment Analysis (DEA) based approach. Transportation Research Procedia, 48, 1789-1804.
  • Güner, S., Taşkın, K. & Gürler, G. (2017). Şehir içi toplu taşıma hatlarının hizmet etkinliğinin veri zarflama analizi ile ölçülmesi: özel ve kamu işletmelerinin karşılaştırılması. İşletme Bilimi Dergisi, 5(3), 127-145. https://doi.org/10.22139/jobs.339869
  • Haas, D.A. & Murphy, F. (2003). Compensating for non-homogeneity in decision-making units in data envelopment analysis. European Journal of Operational Research, 144(3), 530–544. https://doi.org/10.1016/S0377-2217(02)00139-X
  • Izadikhah, M., Azadi, M., Toloo, M. & Hussain, F.K. (2021). Sustainably resilient supply chains evaluation in public transport: A fuzzy chance-constrained two-stage DEA approach. Applied Soft Computing, 113, Part B, 107879. https://doi.org/10.1016/j.asoc.2021.107879
  • Karim, Z. & Fouad, J. (2018). Measuring urban public transport performance on route level: A literature review. In Proceedings of the International Workshop on Transportation and Supply Chain Engineering (IWTSCE’18), Rabat, Morocco, Volume 200, p. 00021.
  • Karlaftis, M.G. (2004). A DEA approach for evaluating the efficiency and effectiveness of urban transit systems. European Journal of Operational Research, 152(2), 354-364. https://doi.org/10.1016/S0377-2217(03)00029-8
  • Lao, Y. & Liu, L. (2009). Performance evaluation of bus lines with data envelopment analysis and geographic information systems. Computers, Environment and Urban Systems, 33(4), 247-255. https://doi.org/10.1016/j.compenvurbsys.2009.01.005
  • Litman, T. (2015). Evaluating Public Transit Benefits and Costs; Victoria Transport Policy Institute: Victoria, BC, Canada.
  • Liu, Z., Wu, N., Qiao, Y. & Li, Z. (2021). Performance evaluation of public bus transportation using DEA models and Shannon's entropy: An example from a company in a large city of China. IEEE/CAA Journal of Automatica Sinica, 8(4), 779-795. https://doi.org/10.1109/JAS.2020.1003405
  • Masoumi, M. & Öcalır-Akünal, E.V. (2018). Türkiye’deki kent içi raylı ulaşım sistemlerinin performanslarının veri zarflama analizi ile karşılaştırılması. Politeknik Dergisi, 21(4), 971-975. https://doi.org/10.2339/politeknik.391798
  • Nolan, J.F. (1996). Determinants of productive efficiency in urban transit. Logistics and Transportation Review, 32 (3), 319–342.
  • Noor, N., Mehmood, B. & Wasif, M. (2018). Efficiency Analysis of Public Transport in Lahore, Pakistan. Pakistan Journal of Applied Economics, Special Issue, 28(1) 357–376.
  • Pina, V. & Torres, L. (2001). Analysis of the efficiency of local government services delivery. An application to urban public transport. Transportation Research Part A: Policy and Practice, 35, 929–944. https://doi.org/10.1016/S0965-8564(00)00033-1
  • Sanchez, G. (2009). Technical and scale efficiency in Spanish urban transport: Estimating with data envelopment analysis. Advances in Operations Research, 721279. https://doi.org/10.1155/2009/721279
  • Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal, 27(3), 379–423. https://doi.org/10.1002/j.1538-7305.1948.tb01338.x
  • Shemshadi, A., Shirazi, H., Toreihi, M., & Tarokh, M. (2011). A Fuzzy VIKOR method for supplier selection based on entropy measure for objective weighting. Expert Systems with Applications, 38(10), 12160–12167. https://doi.org/10.1016/j.eswa.2011.03.027
  • Tsolas, I.E. (2021). Performance Evaluation of Electric Trolley Bus Routes. A Series Two-Stage DEA Approach. Infrastructures, 6, 44.
  • Viton, P.A. (1997). Technical efficiency in multi-mode bus transit: A production frontier analysis. Transportation Research B, 31, 23–39. https://doi.org/10.1016/S0191-2615(96)00019-7
  • Yıldırım, B. & Önder, E. (2015) Operasyonel, yönetsel ve stratejik problemlerin çözümünde çok kriterli karar verme teknikleri, (2nd ed.). Dora Yayınları.
Toplam 27 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ulaşım ve Trafik
Bölüm Araştırma Makalesi
Yazarlar

Özlem Battal Şal 0000-0002-2308-7933

Gönderilme Tarihi 30 Temmuz 2025
Kabul Tarihi 26 Kasım 2025
Yayımlanma Tarihi 15 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 15 Sayı: 4

Kaynak Göster

APA Battal Şal, Ö. (2025). Performance and efficiency measurement in urban transportation: an empirical assessment with Entropy and data envelopment analysis. Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 15(4), 1133-1149. https://doi.org/10.17714/gumusfenbil.1753913