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Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network

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  • Guo, Xiaoyan
  • He, Junliang
  • Yu, Hang
  • Liu, Mei

Abstract

The global consensus on carbon peak and carbon neutral goals extends to the transport sector. This paper provides a method for simulating the carbon emission peak time and peak value within a container intermodal network (CIN). Our approach commences by capturing the fundamental network elements, including nodes, routes, and freight flows, through intermodal network modeling. We then integrate a carbon emission model with scenario analysis, utilizing Monte Carlo simulation to predict the probability of the CIN's carbon emission peak time and value. Finally, using the Yangtze River Delta regional container intermodal network (YRD-CIN) as a case study, 15 scenarios are set up to explore the effects of intermodal transport network development on carbon peaks and peak times under varying conditions in the YRD region. The findings demonstrate the significant influence of modal transport shifts, network connectivity, and energy technology levels on the carbon peak in the YRD-CIN.

Suggested Citation

  • Guo, Xiaoyan & He, Junliang & Yu, Hang & Liu, Mei, 2023. "Carbon peak simulation and peak pathway analysis for hub-and-spoke container intermodal network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    • Handle: RePEc:eee:transe:v:180:y:2023:i:c:s1366554523003204
    DOI: 10.1016/j.tre.2023.103332
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    1. Brian Levine & Linda Nozick & Dean Jones, 2009. "Estimating an Origin-Destination Table for US Exports of Waterborne Containerised Freight," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(2), pages 137-155, June.
    2. Kirschstein, Thomas & Meisel, Frank, 2015. "GHG-emission models for assessing the eco-friendliness of road and rail freight transports," Transportation Research Part B: Methodological, Elsevier, vol. 73(C), pages 13-33.
    3. Fan, Ailong & Wang, Junteng & He, Yapeng & Perčić, Maja & Vladimir, Nikola & Yang, Liu, 2021. "Decarbonising inland ship power system: Alternative solution and assessment method," Energy, Elsevier, vol. 226(C).
    4. Haywood, Luke & Jakob, Michael, 2023. "The role of the emissions trading scheme 2 in the policy mix to decarbonize road transport in the European Union," Transport Policy, Elsevier, vol. 139(C), pages 99-108.
    5. Yan, Xinping & He, Yapeng & Fan, Ailong, 2023. "Carbon footprint prediction considering the evolution of alternative fuels and cargo: A case study of Yangtze river ships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    6. Wojahn, Oliver W., 2001. "Airline network structure and the gravity model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 37(4), pages 267-279, August.
    7. Kalahasthi, Lokesh & Holguín-Veras, José & Yushimito, Wilfredo F., 2022. "A freight origin-destination synthesis model with mode choice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    8. Li, Yanfei & Taghizadeh-Hesary, Farhad, 2022. "The economic feasibility of green hydrogen and fuel cell electric vehicles for road transport in China," Energy Policy, Elsevier, vol. 160(C).
    9. Clare Linton & Susan Grant-Muller & William F. Gale, 2015. "Approaches and Techniques for Modelling CO 2 Emissions from Road Transport," Transport Reviews, Taylor & Francis Journals, vol. 35(4), pages 533-553, July.
    10. Pelayo Arbués & José F. Baños, 2016. "A dynamic approach to road freight flows modeling in Spain," Transportation, Springer, vol. 43(3), pages 549-564, May.
    11. Zhang, Qi & Gu, Baihe & Zhang, Haiying & Ji, Qiang, 2023. "Emission reduction mode of China's provincial transportation sector: Based on “Energy+” carbon efficiency evaluation," Energy Policy, Elsevier, vol. 177(C).
    12. Kurtuluş, Ercan & Çetin, İsmail Bilge, 2020. "Analysis of modal shift potential towards intermodal transportation in short-distance inland container transport," Transport Policy, Elsevier, vol. 89(C), pages 24-37.
    13. Talley, Wayne K. & Ng, ManWo, 2018. "Hinterland transport chains: A behavioral examination approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 113(C), pages 94-98.
    14. Bontekoning, Y. M. & Macharis, C. & Trip, J. J., 2004. "Is a new applied transportation research field emerging?--A review of intermodal rail-truck freight transport literature," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(1), pages 1-34, January.
    15. Meng, Qiang & Wang, Xinchang, 2011. "Intermodal hub-and-spoke network design: Incorporating multiple stakeholders and multi-type containers," Transportation Research Part B: Methodological, Elsevier, vol. 45(4), pages 724-742, May.
    16. Ehsan Shafiei & Hlynur Stefansson & Eyjolfur Ingi Asgeirsson & Brynhildur Davidsdottir & Marco Raberto, 2013. "Integrated Agent-based and System Dynamics Modelling for Simulation of Sustainable Mobility," Transport Reviews, Taylor & Francis Journals, vol. 33(1), pages 44-70, January.
    17. Jieshuang Dong & Yiming Li & Wenxiang Li & Songze Liu, 2022. "CO 2 Emission Reduction Potential of Road Transport to Achieve Carbon Neutrality in China," Sustainability, MDPI, vol. 14(9), pages 1-24, May.
    18. Guoqiang Shen & Saniye Gizem Aydin, 2014. "Origin-destination missing data estimation for freight transportation planning: a gravity model-based regression approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(6), pages 505-524, August.
    19. Perčić, Maja & Vladimir, Nikola & Fan, Ailong, 2021. "Techno-economic assessment of alternative marine fuels for inland shipping in Croatia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    20. Li Wang & Xiaoning Zhu, 2019. "Container Loading Optimization in Rail–Truck Intermodal Terminals Considering Energy Consumption," Sustainability, MDPI, vol. 11(8), pages 1-15, April.
    21. 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.
    22. Song, Hongqing & Ou, Xunmin & Yuan, Jiehui & Yu, Mingxu & Wang, Cheng, 2017. "Energy consumption and greenhouse gas emissions of diesel/LNG heavy-duty vehicle fleets in China based on a bottom-up model analysis," Energy, Elsevier, vol. 140(P1), pages 966-978.
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