An empirical study of the performance of the sixth generation ports model with smart ports with reference to major container ports in mainland China

Zhao-Yu Song, Cheng-Wei Lin, Xuehao Feng and Paul Tae-Woo Lee

Transportation Research Part E: Logistics and Transportation Review, 2024, vol. 184, issue C

Abstract: Since the UNCTAD proposed the initial port model, called the first generation port model (1GP) in 1994, its adaptation and transformation have evolved, reflecting not only the evolution of port operations and technological advancements, but also the resilience of ports to natural disasters and supply disruptions. Recently, the trio of COVID-19, digitalization, and decarbonization (CDD) has emerged as core challenges whilst providing numerous opportunities for building adaption and resilience for the port industry. In light of this, the sixth generation ports (6GP) model has emerged. This paper addresses crucial research gaps by empirically testing the 6GP model, emphasizing the impact of emerging factors of the CDD, including 1) the lack of empirical testing for the 6GP model and the emphasis on the CDD; 2) the exploration of factors contributing to the significant development of Chinese container ports; 3) the investigation into how the CDD lead to the reversal of the port devolution continuum path. In doing so, an empirical study has been conducted, focusing on six major container ports in mainland China, all of which are among the world’s top 10 container ports in terms of container throughput. It evaluates the importance of the criteria of the 6GP model with the performance of the six ports. The findings of this research are discussed for managerial and policy implications, enriching the existing literature on port devolution, and providing the port industry with a holistic view of port development and strategy in the post-pandemic period.

Keywords: Sixth generation ports (6GP); Port performance; TOPSIS; VIKOR; Consistent fuzzy preference relations (CFPR); Chinese container port (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.tre.2024.103460

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