Print Email Facebook Twitter The road towards a more transparent and accurate carbon footprint of freight transportation Title The road towards a more transparent and accurate carbon footprint of freight transportation: Developing a tool for assessing the possible uncertainties underlying the carbon footprint of a shipment Author Siepman, Renée (TU Delft Civil Engineering & Geosciences) Contributor Tavasszy, Lorant (graduation committee) van Binsbergen, A.J. (mentor) Ludema, M.W. (graduation committee) Degree granting institution Delft University of Technology Programme Transport, Infrastructure and Logistics Date 2023-05-26 Abstract This paper investigates the uncertainties underlying carbon footprint estimations of freight transportation, with a particular focus on trip-level shipment data. The research aimed to identify and classify possible causes of these uncertainties using Walker’s uncertainty matrix, drawing from literature reviews, protocol analyses, field research, and interviews. Findings suggest that the accuracy and transparency of assumptions are crucial when communicating carbon footprint estimations, as emphasized in current literature. This study contributes to the existing knowledge by providing deeper insights into the influence of uncertainty causes on the final estimation. The primary source of these uncertainties can largely be attributed to data accuracy in the calculation of carbon footprints. A structured approach is proposed to examine potential causes of uncertainties and their potential impacts on the final carbon footprint estimation. To demonstrate the effectiveness of this approach, a case study analyzing three freight movements to a building site was conducted. This research offers valuable insights and a systematic method for addressing uncertainties in carbon footprint estimations, ultimately supporting more informed decision-making in the freight transportation sector. To reference this document use: http://resolver.tudelft.nl/uuid:732fa7ca-8397-49a7-ae76-19a6144bd6e7 Part of collection Student theses Document type master thesis Rights © 2023 Renée Siepman Files PDF Thesis_Ren_e_Siepman_Final.pdf 21.15 MB Close viewer /islandora/object/uuid:732fa7ca-8397-49a7-ae76-19a6144bd6e7/datastream/OBJ/view