This study was conducted to address the lack of insight port authorities have in port competitiveness. Within this thesis a data-driven model is presented that allows to assess port competition within a bounded scope. This model is developed from the ground up and programmed in the Python programming language as a stand-alone solution. The model doesn’t rely on extensive black-box models as often found in related literature. Due to its generic nature, the logistic chain choice model can also serve as a base model for different scenario analyses. Scenarios could include the change of ship-size, (oil) price or cost scenario’s and future throughput forecasts. The model can provide insights regarding effective port investments and policy making.