Programme

New worldwide requirements for reporting cargo emissions are being introduced under the Corporate Reporting Sustainability Directive (CRSD). This paper explores approaches for estimating freight transport emissions, considering both vehicle emissions and the allocation of emissions to individual consignees based on cargo characteristics and route attributes. A key aspect of freight emissions is ensuring a transparent and equitable distribution among clients after measuring vehicle emissions. The methodology must be robust and functional even when input data is imperfect. The state-of-the-art approach currently follows the ISO 14083 standard and to use approach specified by the Global Logistics Emission Council (GLEC) framework. However, methods are sensitive to input data about every transport chain element in the process. To address this limitation, we present approaches for estimating emissions using measured vehicle data and evaluate alternative methods by integrating routing tools and traffic sensor data. This allows for the estimation of emissions from internal combustion engine and electric vehicles using the vehicle-specific power model. Additionally, we conduct a sensitivity analysis to estimate an impact of degraded quality of input data such as vehicle trajectories with positioning errors on final results to assess the impact of unreliable trip data on individual packages. The findings can help organizations enhance data quality, improve emissions reporting, and optimize operations to reduce carbon emissions.