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Economic and logistical performance of refrigerated electric and hydrogen light commercial vehicles. A total cost of ownership and hybrid simulation perspective

Romeo Danielis et al.

Research in Transportation Business & Management2026https://doi.org/10.1016/j.rtbm.2026.101595article
ABDC B
Weight
0.41

What the paper says

The paper investigates whether refrigerated diesel light commercial vehicles (D-LCVs) could be substituted by refrigerated electric LCVs (E-LCVs) or hydrogen LCVs (H2-LCVs), considering both their economic and logistics performances. The economic performance is evaluated via the total cost of ownership (TCO) methodology, while the logistics one is estimated via a multi-agent simulation model. If LCVs are operated in urban contexts, we find that both alternative powertrains exhibit operational parity versus D-LCVs, irrespective of the weather conditions. In terms of TCO, however, only E-LCVs are almost competitive with D-LCVs, while H2-LCVs are by far costlier. If LCVs are used to distribute refrigerated goods in regional contexts (with longer travel distances), ELCVs show lower logistical efficiency than D-LCVs under normal conditions, further exacerbated in extreme weather, although they have better TCO metrics. On the contrary, H2-LCVs achieved similar logistical efficiency than D-LCVs but continue to show very poor economics.

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https://doi.org/https://doi.org/10.1016/j.rtbm.2026.101595

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@article{romeo2026,
  title        = {{Economic and logistical performance of refrigerated electric and hydrogen light commercial vehicles. A total cost of ownership and hybrid simulation perspective}},
  author       = {Romeo Danielis et al.},
  journal      = {Research in Transportation Business & Management},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1016/j.rtbm.2026.101595},
}

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Evidence weight

0.41

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

F · citation impact0.25 × 0.4 = 0.10
M · momentum0.55 × 0.15 = 0.08
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.