Ld
L.B.S. de Jonge
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Reducing CO2-emissions of Port of Rotterdam hinterland transport by truck
Analyzing the dynamics of adoption of technologies that reduce the carbon intensity of energy used by trucks
This study investigates the decarbonization of truck-based container transport in the Port of Rotterdam's hinterland, focusing on the adoption of three key low-carbon technologies: Battery Electric Trucks (BETs), Fuel-Cell Electric Trucks (FCETs), and e-diesel. As the largest logistics hub in Europe, the Port of Rotterdam faces increasing pressure to reduce CO₂ emissions, especially from road transport. Using a system dynamics model developed in Vensim and informed by expert interviews, the research explores technology adoption dynamics, including infrastructure availability, technology maturity, awareness, energy source supply, and lifecycle costs. The study identifies interdependent feedback loops among these factors and evaluates policy interventions that can accelerate adoption. Two key policies—stimulation of lower-emission truck adoption and collaborative BET implementation—are found to be particularly effective in initiating exponential adoption growth. Scenario analyses also highlight the importance of early and coordinated policy action. BETs emerge as the most viable near-term solution due to their faster cost reductions and existing infrastructure advantages, while FCETs remain a longer-term option for specific use cases. The findings offer actionable insights for the Port of Rotterdam Authority and policymakers, emphasizing early intervention, national coordination, and a strategic focus on BETs to achieve carbon neutrality in hinterland transport by 2050.
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This study investigates the decarbonization of truck-based container transport in the Port of Rotterdam's hinterland, focusing on the adoption of three key low-carbon technologies: Battery Electric Trucks (BETs), Fuel-Cell Electric Trucks (FCETs), and e-diesel. As the largest logistics hub in Europe, the Port of Rotterdam faces increasing pressure to reduce CO₂ emissions, especially from road transport. Using a system dynamics model developed in Vensim and informed by expert interviews, the research explores technology adoption dynamics, including infrastructure availability, technology maturity, awareness, energy source supply, and lifecycle costs. The study identifies interdependent feedback loops among these factors and evaluates policy interventions that can accelerate adoption. Two key policies—stimulation of lower-emission truck adoption and collaborative BET implementation—are found to be particularly effective in initiating exponential adoption growth. Scenario analyses also highlight the importance of early and coordinated policy action. BETs emerge as the most viable near-term solution due to their faster cost reductions and existing infrastructure advantages, while FCETs remain a longer-term option for specific use cases. The findings offer actionable insights for the Port of Rotterdam Authority and policymakers, emphasizing early intervention, national coordination, and a strategic focus on BETs to achieve carbon neutrality in hinterland transport by 2050.