@revista_internacional{813,
  keywords = {Zero-Carbon emission, Synchromodal transportation, Freight, Ordinal priority approach, multi-criteria decision making, Picture fuzzy sets},
  author = {Dragan Pamucar and Muhammet Deveci and Ilgin Gokasar and Luis Martínez and Mario Köppen},
  title = {Prioritizing transport planning strategies for freight companies towards zero carbon emission using ordinal priority approach},
  abstract = {Freight transportation counts for remarkable negative effects like emissions, noise, and congestion. This urges for a modal shift toward structuring a more efficient systematic network, facilitating full use of potentials among the transportation modes. Decision-makers face uncertainty and restricted information processing skills when assessing the alternatives for sustainable freight transportation. In this study, a novel extension of the Ordinal Priority Approach under picture fuzzy sets (OPA-P) is proposed to rank the alternatives. In the OPA-P algorithm, experts’ preferences are used to determine the weighting coefficients of criteria and rank the alternatives. A case study is employed to demonstrate the formulation and solution of the problem. The outcome of this study suggests the top-ranked and most important solution for the sustainable transport planning. In addition, to verify the stability of the proposed model, a validation analysis is carried out.},
  year = {2022},
  journal = {Computers & Industrial Engineering},
  volume = {169},
  pages = {108259},
  issn = {0360-8352},
  url = {https://www.sciencedirect.com/science/article/pii/S0360835222003291},
  doi = {https://doi.org/10.1016/j.cie.2022.108259},
}