Docking collision brings down two cranes at the Port of Kaohsiung
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A docking collision caused two cranes to collapse and sent workers running for safety at the Port of Kaohsiung on June 3rd. The first crane went down as a result of a collision when the Durban, owned by Orient Overseas Container Line, sideswiped another vessel while trying to dock at Taiwan’s largest port. The incident, which is under investigation, sent containers toppling and caused two cranes to collapse. One worker was injured and the two crane operators were trapped until rescue crews could safely evacuate them.
What caused this accident?
The accident is under investigation, but early reports indicated that the Durban struck the Yongyang, owned by Yang Ming, while it was docked at Pier 70. Spire’s historical AIS and weather data shows vessel positions related to the Port of Kaohsiung area before, during, and after the collision. Using historical data and our Spire Analytics platform, we charted the recent event. Our historical data includes wind, ocean, and other weather elements to provide a complete picture of the conditions at the time of the accident. Our Spire Analytics platform details the decline in port traffic after the accident.
This Spire Analytics chart shows the decline in port traffic after the accident and breaks out the vessels by vessel type.
This chart shows the average time in port and the deadweight tonnage per vessel type.
Above are the recent events at the port during the time of the accident.
Request a fully customizable historical dataset of the event and see:
- Vessel position data via Satellite, Terrestrial, and Enhanced Satellite AIS sources
- AIS data around the event with your desired radius, including port events and enhanced vessel data
- Weather forecast data before, during, and after the event
Read more about how our data is useful in accident investigations in our blog.
Historical data has many uses
Maritime AIS and Maritime Weather historical data enables Maritime analysis for port authorities, insurance companies, government entities, and others. It’s ideal for supply chain analysis, commodity trading, identification of illegal fishing or dark targets, ship route and fuel use optimization, analysis of global trade patterns, anti-piracy, and autonomous vessel software.
Spire AIS data is easy to use, reliable, and fully customizable to solve for your individual use cases.