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Transportation Science and Logistics Society Best Dissertation Award Competition: Abstracts of 2025 Winners

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Transportation Science2026https://doi.org/10.1287/trsc.2025_dissertation_awardarticle
AJG 3ABDC A*
Weight
0.50

What the paper says

The journal is pleased to bring back the tradition of publishing the abstracts of the winners of the TSL Best Dissertation Award. The 2025 dissertation prize committee was chaired by Hai Wang. The other committee members were Jelmer Pier van der Gaast, Sophie Parragh, Tal Raviv, and Joan Walker. Funding: Fabian Akkerman conducted his research in the project DynaPlex: Deep Reinforcement Learning for Data-Driven Logistics, made possible by TKI Dinalog and funded by the Ministry of Economic Affairs and Climate Policy (EZK) of the Netherlands. Bo Lin was supported by City of Toronto Transportation Services and the Natural Sciences and Engineering Research Council of Canada [NSERC Alliance Grant ALLRP 561212-20].

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https://doi.org/https://doi.org/10.1287/trsc.2025_dissertation_award

Or copy a formatted citation

@article{unknown2026,
  title        = {{Transportation Science and Logistics Society Best Dissertation Award Competition: Abstracts of 2025 Winners}},
  author       = {Unknown author},
  journal      = {Transportation Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1287/trsc.2025_dissertation_award},
}

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Transportation Science and Logistics Society Best Dissertation Award Competition: Abstracts of 2025 Winners

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.