Smart port concept: A case study of Karachi Port Trust (Kpt) as a Smart Port: Lessons from Tuas Port (Singapore), Shanghai Port (China), and Salalah Port (Oman)
DOI:
https://doi.org/10.71085/sss.05.02.556Keywords:
Smart Ports, Karachi Port Trust (KPT), Port Digitalization, Industry 4.0, Port Automation, Sustainable Maritime Infrastructure, Comparative Case Study, Global Port PerformanceAbstract
Smart ports improve efficiency and sustainability across maritime frameworks through enhanced automation and data-driven governance. Industry 4.0 focuses on Internet of Things (IoT), artificial intelligence (AI), robotics, blockchain, and advanced analytics, and integrates itself within smart ports to increase operational awareness, perform predictive analysis, and maintain a steady ethical approach to environmental matters. This research analyzes and dissects a comparative case study to examine how the Karachi port Trust (KPT) can be transformed into smart port model by inspiring from world exemplary models like Tuas Port (Singapore), Shanghai Port (People’s Republic of China), and Salalah Port (Oman). The paper uses comparative analysis to highlight the key technological, institutional and governance gaps that constrain KPT's operational efficiency and competitiveness on a global stage. It points to the congestion, longer container dwell times, legacy infrastructure and other coordination issues. The study offers context-specific and practical recommendations for KPT based on international experience and the latest available data (2024–2025), such as the phase-by-phase implementation of digital transformation, strengthening port community systems, using AI tools for monitoring, and improvements for port sustainability. The findings indicate that implementation of smart-port framework can significantly boost the efficiency, environmental sustainability, and participation of KPT in global maritime supply chains, which can strengthen the position of Pakistan in the regional and international trade.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Anees Muhammad Khan, Adam Saud, Muhammad Zeeshan Ali

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.



