Smart Port Sustainability: A Business Intelligence Framework for CO2 Reduction in Cargo Truck Operations

This research aims at investigating how to assist European ports in the decision-making of business intelligence tools to reduce the CO2 emission of cargo trucks. Thus, several scientific papers are analyzed during this research, and BI tools are selected based on sequence and integration. Thereafter, this research conducted interviews with field experts to discuss the selected BI tools and broaden the knowledge for this research. Furthermore, it was possible to contact several European ports to acquire insights into the current port operations and the desire to introduce such tools. A performance dashboard prototype, created with simulated data through R, was demonstrated to the respondents during the structured interview. Finally, a BI framework has been developed to assist European ports in the decision-making of business intelligence tools to reduce the CO2 emission of cargo trucks.