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Impacts of truck platooning on the multimodal freight transport market: An exploratory assessment on a case study in Italy

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  • Marzano, Vittorio
  • Tinessa, Fiore
  • Fiori, Chiara
  • Tocchi, Daniela
  • Papola, Andrea
  • Aponte, Dario
  • Cascetta, Ennio
  • Simonelli, Fulvio

Abstract

Truck platooning is expected to significantly affect road freight transport performances, although in the long term due to technological and operational issues still to address. Furthermore, truck platooning could be introduced with increasing levels of automation, corresponding to different technologies and operational costs. In parallel, various Countries promote freight-related infrastructural plans pursuing a modal shift from the road towards more sustainable modes (railways, sea shipping, inland waterways). The planning horizon of such infrastructures probably overlaps, at least partially, with a non-negligible market penetration of truck platooning. In this framework, the paper aims to explore the extent of a system-wide competition between existing freight modes and truck platooning, through an exploratory analysis of the potential market of truck platooning in Italy. The study is based on a comparative analysis of the cost of various freight modes, leveraging a multimodal nationwide freight supply model. Forty different scenarios have been modelled, with different assumptions on the input variables including three levels of automation. Results show that truck platooning could be highly competitive with respect to rail transport for medium to large distances. Competition with conventional road transport is significant as well, with a large contestable market share between truck platooning and traditional road freight, especially on medium to long distances, whilst maritime transport starts competing with truck platooning only in the case of (at least partially) unmanned truck platooning operations. The size of truck platoons impacts appreciably on results only with a manned leader truck and unmanned followers. Based on the above results it would be appropriate to consider track platooning as a new freight transport mode.

Suggested Citation

  • Marzano, Vittorio & Tinessa, Fiore & Fiori, Chiara & Tocchi, Daniela & Papola, Andrea & Aponte, Dario & Cascetta, Ennio & Simonelli, Fulvio, 2022. "Impacts of truck platooning on the multimodal freight transport market: An exploratory assessment on a case study in Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 100-125.
    • Handle: RePEc:eee:transa:v:163:y:2022:i:c:p:100-125
    DOI: 10.1016/j.tra.2022.07.001
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    References listed on IDEAS

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    1. Jo, Young & Kim, Jungin & Oh, Cheol & Kim, Ikki & Lee, Gunwoo, 2019. "Benefits of travel time savings by truck platooning in Korean freeway networks," Transport Policy, Elsevier, vol. 83(C), pages 37-45.
    2. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    3. Marzano, Vittorio & Tocchi, Daniela & Papola, Andrea & Aponte, Dario & Simonelli, Fulvio & Cascetta, Ennio, 2018. "Incentives to freight railway undertakings compensating for infrastructural gaps: Methodology and practical application to Italy," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 177-188.
    4. Cartenì, Armando & Marzano, Vittorio & Henke, Ilaria & Cascetta, Ennio, 2022. "A cognitive and participative decision-making model for transportation planning under different uncertainty levels," Transport Policy, Elsevier, vol. 116(C), pages 386-398.
    5. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    6. Bridgelall, Raj & Patterson, Douglas A. & Tolliver, Denver D., 2020. "Policy implications of truck platooning and electrification," Energy Policy, Elsevier, vol. 139(C).
    7. Montanino, Marcello & Punzo, Vincenzo, 2021. "On string stability of a mixed and heterogeneous traffic flow: A unifying modelling framework," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 133-154.
    8. Ralf Elbert & Jan-Karl Knigge & Anne Friedrich, 2020. "Analysis of decentral platoon planning possibilities in road freight transport using an agent-based simulation model," Journal of Simulation, Taylor & Francis Journals, vol. 14(1), pages 64-75, January.
    9. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    10. Montanino, Marcello & Monteil, Julien & Punzo, Vincenzo, 2021. "From homogeneous to heterogeneous traffic flows: Lp String stability under uncertain model parameters," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 136-154.
    11. Bösch, Patrick M. & Becker, Felix & Becker, Henrik & Axhausen, Kay W., 2018. "Cost-based analysis of autonomous mobility services," Transport Policy, Elsevier, vol. 64(C), pages 76-91.
    12. Francesca Pagliara & Irina Di Ruocco, 2018. "How public participation could improve public decisions on rail investments?," Regional Science Policy & Practice, Wiley Blackwell, vol. 10(4), pages 383-403, November.
    13. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
    14. Larsen, Rune & Rich, Jeppe & Rasmussen, Thomas Kjær, 2019. "Hub-based truck platooning: Potentials and profitability," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 249-264.
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    1. Buonocore, Ciro & Carlucci, Fabio & Ciciarelli, Lucia & Papola, Andrea & Tinessa, Fiore & Tocchi, Daniela & Trincone, Barbara, 2023. "Accessibility analysis in spatial planning: A case of special economic zones (SEZs) in Campania, Southern Italy," Land Use Policy, Elsevier, vol. 132(C).
    2. Masone, Adriano & Marzano, Vittorio & Simonelli, Fulvio & Sterle, Claudio, 2024. "Exact and heuristic approaches for the Modal Shift Incentive Problem," Socio-Economic Planning Sciences, Elsevier, vol. 93(C).
    3. Liatsos, Vasileios & Golias, Mihalis & Hourdos, John & Mishra, Sabyasachee, 2024. "The capacitated hybrid truck platooning network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).

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