In the global trade, ports act as pivotal junctures bridging marine and terrestrial transportation networks. Ensuring smooth operations within these hubs is extremely important, as it guarantees the consistent transit of commodities and services. Consequently, maintaining safety within these complex environments has become a paramount concern for state entities, port overseers, and marine transport enterprises. This paper delves into a novel approach for gathering and dissecting data on prevalent accident causes and injuries within these hubs, further exploring variances in safety standards based on geographical locations, facility types, and other pertinent parameters. Such insights lay the foundation for sculpting safety-enhancing policies and operational practices. Additionally, the study showcases innovative technological solutions pioneered by the authors, harnessing the prowess of Modeling & Simulation (M&S) and eXtended Reality (XR) to augment safety measures.

Data Analytics for Safety and Security within Ports based using Open Sources

Bruzzone, Agostino G.;Giovannetti, Antonio;Ferrari, Roberto;Gadupuri, Bharath;Karim, Javed;Sciomachen, Anna;Bucchianica, Luca;
2023-01-01

Abstract

In the global trade, ports act as pivotal junctures bridging marine and terrestrial transportation networks. Ensuring smooth operations within these hubs is extremely important, as it guarantees the consistent transit of commodities and services. Consequently, maintaining safety within these complex environments has become a paramount concern for state entities, port overseers, and marine transport enterprises. This paper delves into a novel approach for gathering and dissecting data on prevalent accident causes and injuries within these hubs, further exploring variances in safety standards based on geographical locations, facility types, and other pertinent parameters. Such insights lay the foundation for sculpting safety-enhancing policies and operational practices. Additionally, the study showcases innovative technological solutions pioneered by the authors, harnessing the prowess of Modeling & Simulation (M&S) and eXtended Reality (XR) to augment safety measures.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11567/1160230
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