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KENT İÇİ ULAŞIM SORUNLARINA AKILLI ULAŞIM SİSTEMLERİYLE ÇÖZÜM ÖNERİLERİ: KARABÜK ÖRNEĞİ

Yıl 2025, Cilt: 24 Sayı: 47, 23 - 41, 30.06.2025

Özlem Battal Şal , Abdalla Elmaadawy

https://doi.org/10.55071/ticaretfbd.1527794

Öz

Ülkemizde yaşanan ulaşım sorunları, düzensiz şehirleşme, ulaşım alt yapısının yetersiz oluşu ve plansız şehirleşme her geçen gün büyümektedir. Karabük şehir merkezinin eski bir yerleşim olması ve alternatif yollar oluşturmada elverişsiz olması başlı başına bir sorundur. Bu çalışma, Karabük ili için Akıllı Ulaşım Sistemleri (AUS) stratejilerini belirlemek ve önceliklendirmek amacıyla çok kriterli karar verme tekniklerinden biri olan En İyi-En Kötü Yöntemi (BWM) kullanılarak gerçekleştirilmiştir. Karabük Belediyesi ve ilgili kurumlardan on uzman, Ulaştırma ve Altyapı Bakanlığı tarafından 2020 yılında yayımlanan Ulusal AUS Strateji Belgesi’nde yer alan eylem maddelerine yönelik ikili karşılaştırmalar yapmıştır. Uzman görüşlerinden elde edilen tutarlılık oranları verilerin güvenilir olduğunu göstermiştir. Çalışma sonuçlarına göre; trafik güvenliği, çevresel etkiler ve gerçek zamanlı trafik bilgisi en önemli kriterler olarak belirlenmiştir. Bu bulgular, toplu taşıma sistemlerinin teşvik edilmesinin ve yolcu bilgilendirme sistemlerinin etkinliğinin artırılmasının önemine dikkat çekmektedir. Ayrıca, belediyeler tarafından sunulan hizmetlerin çeşitliliğini geliştirme konusunda da yol gösterici bilgiler sunmaktadır.

Anahtar Kelimeler

Kent içi ulaşım ulaşım analizi toplu taşıma akıllı ulaşım sistemleri best worst method

Kaynakça

  • Akay, M. E., & Aygün, H. (2022). Karabük – Zonguldak Hattında Demiryolu Hat Kapasitesinin Modellenmesi. Politeknik Dergisi, 25(4), 1817-1825. https://doi.org/10.2339/politeknik.884305
  • Deloitte. (2022). Global transportation trends 2022: Future-ready transportation. Retrieved April 28, 2023, from https://www.deloitte.com/global/en/Industries/government public/perspectives/global-transportation-trends-2022.html
  • Gajewska, M. (2017). Application of BAN network to increase security in transport systems: Smart solutions in today’s transport. 17th International Conference on Transport Systems Telematics (p. 155–166). Katowice–Ustroń, Poland.
  • KGM (2023), 15th Regional Office, Kastamonu. Retrieved April 20, 2023, from https://www.kgm.gov.tr/Sayfalar/KGM/SiteTr/Bolgeler/15Bolge/Projeler.aspx
  • Khan, S. M., Rahman, M., Apon, A., & Chowdhury, M. (2017). Chapter 1- Characteristics of intelligent transportation systems and their relationship with data analytics. In: M. Chowdhury, A. Apon & K. Dey (Ed.) Data analytics for intelligent transportation systems (p. 1–29). Elsevier. https://doi.org/10.1016/B978-0-12-809715-1.00001-8
  • Lin, Y., Wang, P., & Ma, M. (2017). Intelligent transportation system (ITS): Concept, challenge, and opportunity. Proceedings of the IEEE 3rd International Conference On Big Data Security On Cloud (Bigdatasecurity), IEEE International Conference On High Performance And Smart Computing (Hpsc), And IEEE International Conference On Intelligent Data And Security. Beijing, China, 167-172, doi: 10.1109/BigDataSecurity.2017.50.
  • Mazur, S. (2020, December 9). An introduction to smart transportation: Benefits and examples. Retrieved April 28, 2023, from https://www.digi.com/blog/post/introduction-to-smart-transportation-benefits
  • Peak, E. (2020, December 22). What makes transportation smart? Defining intelligent transportation. Retrieved March 16, 2023, from https://www.iotforall.com/what-makes-transportation-smart-defining-intelligenttransportation
  • Republic of Turkey Ministry of Transport and Infrastructure. (2020). National Intelligent Transportation Systems Strategy Document and 2020-2023 Action Plan.
  • Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega (United Kingdom), 53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009
  • Selimoğlu, E. (2014). Trafik Kazalarının Nedenleri, Sonuçları ve Kazaların Önlenmesine İlişkin Öneriler. Ziraat Mühendisliği (361), 51-54.
  • Sussman, J. (2005a). Perspectives on intelligent transportation systems (ITS). Springer Science+Business Media.
  • Şenbil, M., & Yetişkul Şenbil, E. (2020). Türkiye’de Son Dönem Otomobilleşme: 2007-2018 Arası İller Bazında Analizler. İDEALKENT, 11(29), 373-405. https://doi.org/10.31198/idealkent.712272
  • Tektaş M., Korkmaz K., & Erdal H. (2016). Akıllı Ulaşım Sistemlerinin Geleceği Ekonomik ve Çevresel Faydaları. Balkan Journal of Social Sciences, 561-577
  • TUIK (2023). Karayolu Trafik Kaza İstatistikleri, 2023. Retrieved April 18, 2023 from https://data.tuik.gov.tr/Bulten/Index?p=Karayolu-Trafik-Kaza-Istatistikleri-2023-53479
  • Yan, X., H. Zhang, H., & Wu, C. (2012). Research and development of intelligent transportation systems. Proceedings of the 11th International Symposium on Distributed Computing and Applications to Business, Engineering Science. pp. 321–327.

SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK

Yıl 2025, Cilt: 24 Sayı: 47, 23 - 41, 30.06.2025

Özlem Battal Şal , Abdalla Elmaadawy

https://doi.org/10.55071/ticaretfbd.1527794

Öz

Transportation problems, irregular urbanisation, inadequate transportation infrastructure, and unplanned urbanisation in our country are growing daily. The fact that the Karabük city centre is an old settlement unsuitable for creating alternative roads is a problem. This study aims to identify and prioritise Intelligent Transportation Systems (ITS) strategies for the city of Karabük using the Best Worst Method (BWM), a multi-criteria decision-making technique. Ten experts from Karabük Municipality and related departments participated in pairwise comparisons of ITS-related action items outlined in the 2020 National ITS Strategy Document by the Ministry of Transport and Infrastructure. The consistency ratios of their responses confirmed data reliability. Results indicate that traffic safety, environmental ımpacts, and real-time traffic ınformation are the most important criteria. These findings underline the importance of promoting public transportation and effective passenger information systems. Furthermore, the results provide insights into improving municipalities' range and quality of services.

Anahtar Kelimeler

Urban transportation transportation analysis public transport intelligent transportation systems best-worst method

Kaynakça

  • Akay, M. E., & Aygün, H. (2022). Karabük – Zonguldak Hattında Demiryolu Hat Kapasitesinin Modellenmesi. Politeknik Dergisi, 25(4), 1817-1825. https://doi.org/10.2339/politeknik.884305
  • Deloitte. (2022). Global transportation trends 2022: Future-ready transportation. Retrieved April 28, 2023, from https://www.deloitte.com/global/en/Industries/government public/perspectives/global-transportation-trends-2022.html
  • Gajewska, M. (2017). Application of BAN network to increase security in transport systems: Smart solutions in today’s transport. 17th International Conference on Transport Systems Telematics (p. 155–166). Katowice–Ustroń, Poland.
  • KGM (2023), 15th Regional Office, Kastamonu. Retrieved April 20, 2023, from https://www.kgm.gov.tr/Sayfalar/KGM/SiteTr/Bolgeler/15Bolge/Projeler.aspx
  • Khan, S. M., Rahman, M., Apon, A., & Chowdhury, M. (2017). Chapter 1- Characteristics of intelligent transportation systems and their relationship with data analytics. In: M. Chowdhury, A. Apon & K. Dey (Ed.) Data analytics for intelligent transportation systems (p. 1–29). Elsevier. https://doi.org/10.1016/B978-0-12-809715-1.00001-8
  • Lin, Y., Wang, P., & Ma, M. (2017). Intelligent transportation system (ITS): Concept, challenge, and opportunity. Proceedings of the IEEE 3rd International Conference On Big Data Security On Cloud (Bigdatasecurity), IEEE International Conference On High Performance And Smart Computing (Hpsc), And IEEE International Conference On Intelligent Data And Security. Beijing, China, 167-172, doi: 10.1109/BigDataSecurity.2017.50.
  • Mazur, S. (2020, December 9). An introduction to smart transportation: Benefits and examples. Retrieved April 28, 2023, from https://www.digi.com/blog/post/introduction-to-smart-transportation-benefits
  • Peak, E. (2020, December 22). What makes transportation smart? Defining intelligent transportation. Retrieved March 16, 2023, from https://www.iotforall.com/what-makes-transportation-smart-defining-intelligenttransportation
  • Republic of Turkey Ministry of Transport and Infrastructure. (2020). National Intelligent Transportation Systems Strategy Document and 2020-2023 Action Plan.
  • Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega (United Kingdom), 53, 49–57. https://doi.org/10.1016/j.omega.2014.11.009
  • Selimoğlu, E. (2014). Trafik Kazalarının Nedenleri, Sonuçları ve Kazaların Önlenmesine İlişkin Öneriler. Ziraat Mühendisliği (361), 51-54.
  • Sussman, J. (2005a). Perspectives on intelligent transportation systems (ITS). Springer Science+Business Media.
  • Şenbil, M., & Yetişkul Şenbil, E. (2020). Türkiye’de Son Dönem Otomobilleşme: 2007-2018 Arası İller Bazında Analizler. İDEALKENT, 11(29), 373-405. https://doi.org/10.31198/idealkent.712272
  • Tektaş M., Korkmaz K., & Erdal H. (2016). Akıllı Ulaşım Sistemlerinin Geleceği Ekonomik ve Çevresel Faydaları. Balkan Journal of Social Sciences, 561-577
  • TUIK (2023). Karayolu Trafik Kaza İstatistikleri, 2023. Retrieved April 18, 2023 from https://data.tuik.gov.tr/Bulten/Index?p=Karayolu-Trafik-Kaza-Istatistikleri-2023-53479
  • Yan, X., H. Zhang, H., & Wu, C. (2012). Research and development of intelligent transportation systems. Proceedings of the 11th International Symposium on Distributed Computing and Applications to Business, Engineering Science. pp. 321–327.
Toplam 16 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Ulaşım ve Trafik
Bölüm Araştırma Makalesi
Yazarlar

Özlem Battal Şal 0000-0002-2308-7933

Abdalla Elmaadawy 0009-0000-0451-279X

Erken Görünüm Tarihi 14 Haziran 2025
Yayımlanma Tarihi 30 Haziran 2025
Gönderilme Tarihi 4 Ağustos 2024
Kabul Tarihi 22 Nisan 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 24 Sayı: 47

Kaynak Göster

APA Battal Şal, Ö., & Elmaadawy, A. (2025). SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, 24(47), 23-41. https://doi.org/10.55071/ticaretfbd.1527794
AMA Battal Şal Ö, Elmaadawy A. SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi. Haziran 2025;24(47):23-41. doi:10.55071/ticaretfbd.1527794
Chicago Battal Şal, Özlem, ve Abdalla Elmaadawy. “SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK”. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 24, sy. 47 (Haziran 2025): 23-41. https://doi.org/10.55071/ticaretfbd.1527794.
EndNote Battal Şal Ö, Elmaadawy A (01 Haziran 2025) SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 24 47 23–41.
IEEE Ö. Battal Şal ve A. Elmaadawy, “SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK”, İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, c. 24, sy. 47, ss. 23–41, 2025, doi: 10.55071/ticaretfbd.1527794.
ISNAD Battal Şal, Özlem - Elmaadawy, Abdalla. “SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK”. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi 24/47 (Haziran 2025), 23-41. https://doi.org/10.55071/ticaretfbd.1527794.
JAMA Battal Şal Ö, Elmaadawy A. SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi. 2025;24:23–41.
MLA Battal Şal, Özlem ve Abdalla Elmaadawy. “SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK”. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi, c. 24, sy. 47, 2025, ss. 23-41, doi:10.55071/ticaretfbd.1527794.
Vancouver Battal Şal Ö, Elmaadawy A. SUGGESTIONS FOR SOLUTIONS TO URBAN TRANSPORTATION PROBLEMS WITH INTELLIGENT TRANSPORTATION SYSTEMS: THE CASE OF KARABÜK. İstanbul Ticaret Üniversitesi Fen Bilimleri Dergisi. 2025;24(47):23-41.
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