2022 Volume 78 Issue 2 Pages I_319-I_324
Cargo handling machinery at container terminals (CTs) is a major source of CO2 emissions. This paper examines the availability of big data analysis and cargo handling simulation from the perspective of improving efficiency of cargo handling operations in order to decarbonize CTs. In the big data analysis, the distance traveled by cargo handling machinery and the number of operations by work type were identified, and it was found that rehandling considered to be the cause of cargo handling inefficiency accounted for approximately 40% of the total. For the cargo handling simulation, a model was developed to simulate the specific behavior of external chassis, and CO2 emissions were estimated from the obtained distance traveled. Thus, big data analysis and cargo handling simulation could be a tool for the decarbonization of CTs.
