TT Club highlights hazardous cargo issues at Global Liner Shipping Conference

TT Club highlights hazardous cargo issues at Global Liner Shipping Conference

Paul Gunton

Paul Gunton · 15 May 2019


Fires on container ships are becoming an increasing problem with several already having occurred this year. TT Club’s Risk Management Director, Peregrine Storrs-Fox will join with Craig Neame, Partner in global law firm HFW in suggesting a path to improved safety amid the complexity of a container supply chain currently experiencing a serious ship fire, on average every sixty days.

“A lack of understanding of regulations and good practices in the classification, packing and declaration, handling and transport, of dangerous goods pervades all stakeholders within the multimodal environment, through which such high volumes of containers move around the world,” commented Storrs-Fox. “Increasing awareness of the risks involved in the freight supply chain, strengthening training in good practices and engendering compliance through appropriate enforcement will not be achieved quickly but are tasks that must be faced. TT Club welcomes the challenge as part of its Cargo Integrity campaign and encourages all in the industry to weigh in.”

At the Conference taking place in Hamburg this week, Craig Neame will outline some of the incendiary incidents that have occurred not just at sea but also in terminals and at berths, both locally in the port of Hamburg as well as around the world. Consequences of dangerous mishandling can range from explosions, fires and gas clouds to serious injury, loss of life, cargo and assets.

Storrs-Fox will suggest some solutions that are already being employed and the direction that others might take. These will include the Hazcheck Portal, which seeks to bring information on transport restrictions and regulations together in one place, Cargo Patrol, an attempt to identify undeclared and misdeclared dangerous goods before they are shipped on board and the potential of blockchain technology to eliminate errors in data transmission and interpretation.

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