Evaluating the Efficiency-Resilience Paradox: A Comparative EventBased Analysis of Automated and Physically Redundant Ports During the 2024 Red Sea Vessel Bunching Crisis

Authors

  • Nizar Bouazzaoui School of Automotive Business, Hubei University of Automotive Technology, Shiyan, 44200, China

DOI:

https://doi.org/10.63468/

Abstract

The 2024 Red Sea vessel bunching crisis revealed critical vulnerabilities in maritime supply chains, especially at high-throughput container ports. This study examines the Efficiency Resilience Paradox by comparing responses at the highly automated Guangzhou Nansha Phase IV terminal with the more physically redundant Ningbo-Zhoushan Port. Using a longitudinal dataset of 36 monthly observations from January 2022 to December 2024, derived from official throughput reports and maritime intelligence, the analysis applies Interrupted Time-Series Analysis, Mann-Whitney U tests, Levene’s Test, and engineering resilience metrics such as Maximum Drawdown, Recovery Slope, and Congestion Elasticity. The results show that Guangzhou experienced a marginally significant negative structural break (β₂ = −4.55, p ≈ 0.064) and a sharp reduction in variance, indicating limited operational flexibility, while maintaining lower peak wait times (3.0 days vs. 8.5 days at Ningbo-Zhoushan). However, the automated terminal reached a near-zero throughput nadir (0.1%), whereas Ningbo-Zhoushan sustained 3.1% growth and demonstrated a stronger recovery (RS = 5.05 vs. 3.65). Higher congestion elasticity at Guangzhou further suggests greater sensitivity to disruption compared to the more stable baseline port. Overall, the findings indicate that while ultra-high automation enhances efficiency under normal conditions, it may undermine resilience during complex supply chain shocks.

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Published

2026-04-25

How to Cite

Bouazzaoui , N. . (2026). Evaluating the Efficiency-Resilience Paradox: A Comparative EventBased Analysis of Automated and Physically Redundant Ports During the 2024 Red Sea Vessel Bunching Crisis. Journal of Political Stability Archive, 4(2), 661-675. https://doi.org/10.63468/