Assessing the Impact of Multimodal Transportation on Economic Growth: A Machine Learning and Cointegration Approach in 28 Countries
Yazarlar (6)
Doç. Dr. Esme Işık Malatya Turgut Özal Üniversitesi, Türkiye
Doç. Dr. Ayfer Özyılmaz Kırıkkale Üniversitesi, Türkiye
Prof. Dr. Yüksel Bayraktar Ankara Üniversitesi, Türkiye
Prof. Dr. Metin Toprak İstanbul Sabahattin Zaim Üniversitesi, Türkiye
Öğr. Gör. Dr. Mehmet Fırat OLGUN Kastamonu Üniversitesi, Türkiye
Doç. Dr. Nazlı Keyifli Şentürk İzmir Kâtip Çelebi Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı European Journal of Transport and Infrastructure Research
Dergi ISSN 1567-7141 Wos Dergi Scopus Dergi
Dergi Tarandığı Indeksler SSCI
Makale Dili İngilizce Basım Tarihi 03-2025
Cilt / Sayı / Sayfa 25 / 1 / 178–207 DOI 10.59490/ejtir.2025.25.1.7715
Makale Linki https://doi.org/10.59490/ejtir.2025.25.1.7715
UAK Araştırma Alanları
İktisat Teorisi
Özet
In this study, the effect of freight and passenger transport in different modes on economic growth is determined for 28 selected countries. The Westerlund cointegration test is used to reveal the long-term relationship between freight and passenger transportation and growth. According to the cointegration analysis, all transportation modes (road, rail, and air) are cointegrated with growth. Additionally, machine learning models were used to predict growth based on each transportation mode for each country for the upcoming four years and to determine the importance of the input parameters. According to the importance of the parameter analysis, for the entire panel, rail transport is the most effective transport mode for economic growth. On a country by-country basis, the findings differ. Rail transport is the strongest transport mode for growth in high-income countries. However, although it is not the dominant mode, the relative impact of air passenger transport is strong. In upper middle-income countries, there generally is not a dominant mode of transport, but in general, freight transport is important to economic growth. In passenger transportation, air passenger transport is the most prominent mode in these countries. In lower middle-income countries, rail freight is the strongest transport mode for economic growth
Anahtar Kelimeler
Artificial Neural Network | Economic Growth | Logistics | Transportation