IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v184y2024ics0965856424001149.html
   My bibliography  Save this article

A low-carbon transportation network: Collaborative effects of a rail freight subsidy and carbon trading mechanism

Author

Listed:
  • Yin, Chuanzhong
  • Zhang, Zi-Ang
  • Fu, Xiaowen
  • Ge, Ying-En

Abstract

Optimizing a transportation network is an effective way to reduce carbon emissions. To examine the collaborative effects of a rail freight subsidy and carbon trading mechanism in a low-carbon transportation network, a multiobjective 0–1 mathematical model that considers transportation cost, carbon trading cost and transportation time is established in this paper, and the NSGA-II algorithm is used to solve it. The Pareto optimal frontier solution set is found for the model, and the optimal solution is determined using the evaluation function of the ideal point method. The performance and effectiveness of the NSGA-II algorithm is analyzed by means of a sample example. A case study of the Yangtze River Economic Belt region in China is conducted to demonstrate the application and practicality of the model. Sensitivity analysis is carried out on rail freight subsidy, carbon quota and carbon trading price. The numerical results highlight that the rail freight subsidy significantly contributes to the design of the low-carbon transportation network, while the low carbon trading price shows a limited effect, which also leads to a weak effect of carbon quota on low-carbon transportation network design. These findings provide decision-making support for optimizing the low-carbon transportation network design and improving the carbon trading mechanism.

Suggested Citation

  • Yin, Chuanzhong & Zhang, Zi-Ang & Fu, Xiaowen & Ge, Ying-En, 2024. "A low-carbon transportation network: Collaborative effects of a rail freight subsidy and carbon trading mechanism," Transportation Research Part A: Policy and Practice, Elsevier, vol. 184(C).
    • Handle: RePEc:eee:transa:v:184:y:2024:i:c:s0965856424001149
    DOI: 10.1016/j.tra.2024.104066
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856424001149
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2024.104066?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ortegon-Sanchez, Adriana & Oviedo Hernandez, Daniel, 2016. "Assessment of the potential for modal shift to non-motorised transport in a developing context: Case of Lima, Peru," Research in Transportation Economics, Elsevier, vol. 60(C), pages 3-13.
    2. Li, Zhi-Chun & Wang, Mei-Ru & Fu, Xiaowen, 2021. "Strategic planning of inland river ports under different market structures: Coordinated vs. independent operating regime," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    3. Cheng, Chun & Yang, Peng & Qi, Mingyao & Rousseau, Louis-Martin, 2017. "Modeling a green inventory routing problem with a heterogeneous fleet," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 97-112.
    4. Larranaga, Ana Margarita & Arellana, Julian & Senna, Luiz Afonso, 2017. "Encouraging intermodality: A stated preference analysis of freight mode choice in Rio Grande do Sul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 102(C), pages 202-211.
    5. Macharis, Cathy & Pekin, Ethem, 2009. "Assessing policy measures for the stimulation of intermodal transport: a GIS-based policy analysis," Journal of Transport Geography, Elsevier, vol. 17(6), pages 500-508.
    6. Wu, Zhen & Woo, Su-Han & Lai, Po-Lin & Chen, Xiaoyi, 2022. "The economic impact of inland ports on regional development: Evidence from the Yangtze River region," Transport Policy, Elsevier, vol. 127(C), pages 80-91.
    7. Zhang, Yilin & Zhang, Anming & Wang, Kun & Zheng, Shiyuan & Yang, Hangjun & Hong, Junjie, 2023. "Impact of CR Express and intermodal freight transport competition on China-Europe Route: Emission and welfare implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    8. 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).
    9. Han, Rong & Yu, Bi-Ying & Tang, Bao-Jun & Liao, Hua & Wei, Yi-Ming, 2017. "Carbon emissions quotas in the Chinese road transport sector: A carbon trading perspective," Energy Policy, Elsevier, vol. 106(C), pages 298-309.
    10. Wang, Kun & Fu, Xiaowen & Luo, Meifeng, 2015. "Modeling the impacts of alternative emission trading schemes on international shipping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 35-49.
    11. Zhang, Qiang & Yang, Dong & Chen, Yang, 2021. "Port integration on the Yangtze River: Does it follow an "interest balance" pattern?," Transport Policy, Elsevier, vol. 108(C), pages 83-94.
    12. Zheng, Shiyuan & Wang, Kun & Fu, Xiaowen & Zhang, Anming & Ge, Ying-En, 2022. "The effects of information publicity and government subsidy on port climate change adaptation: Strategy and social welfare analysis," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 284-312.
    13. Zheng, Shiyuan & Ge, Ying-En & Fu, Xiaowen & Nie, Yu (Marco) & Xie, Chi, 2017. "Modeling collusion-proof port emission regulation of cargo-handling activities under incomplete information," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 543-567.
    14. Rosič, Heidrun & Jammernegg, Werner, 2013. "The economic and environmental performance of dual sourcing: A newsvendor approach," International Journal of Production Economics, Elsevier, vol. 143(1), pages 109-119.
    15. Ferrara, Antonella Rita & Giua, Ludovica, 2022. "Indirect cost compensation under the EU ETS: A firm-level analysis," Energy Policy, Elsevier, vol. 165(C).
    16. Zheng, Shiyuan & Jia, Rongwen & Shang, Wen-Long & Fu, Xiaowen & Wang, Kun, 2023. "Promote transport facility Resilience: Persuasion or Subsidy?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 176(C).
    17. Yan, Shiyu & de Bruin, Kelly & Dennehy, Emer & Curtis, John, 2021. "Climate policies for freight transport: Energy and emission projections through 2050," Transport Policy, Elsevier, vol. 107(C), pages 11-23.
    18. Hu, Qiaolin & Gu, Weihua & Wang, Shuaian, 2022. "Optimal subsidy scheme design for promoting intermodal freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    19. Nam Seok Kim & Bert Van Wee, 2009. "Assessment of CO 2 emissions for truck-only and rail-based intermodal freight systems in Europe," Transportation Planning and Technology, Taylor & Francis Journals, vol. 32(4), pages 313-333, June.
    20. Jiekuan Zhang & Yan Zhang, 2021. "Examining the economic effects of emissions trading scheme in China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 64(9), pages 1622-1641, July.
    21. Kundu, Tanmoy & Sheu, Jiuh-Biing, 2019. "Analyzing the effect of government subsidy on shippers’ mode switching behavior in the Belt and Road strategic context," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 175-202.
    22. Lam, Jasmine Siu Lee & Gu, Yimiao, 2016. "A market-oriented approach for intermodal network optimisation meeting cost, time and environmental requirements," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 266-274.
    23. Shao, Shuai & Tan, Zhijia & Liu, Zhiyuan & Shang, Wenlong, 2022. "Balancing the GHG emissions and operational costs for a mixed fleet of electric buses and diesel buses," Applied Energy, Elsevier, vol. 328(C).
    24. Dai, Wayne Lei & Fu, Xiaowen & Yip, Tsz Leung & Hu, Hao & Wang, Kun, 2018. "Emission charge and liner shipping network configuration – An economic investigation of the Asia-Europe route," Transportation Research Part A: Policy and Practice, Elsevier, vol. 110(C), pages 291-305.
    25. Du, Huibin & Chen, Zhenni & Peng, Binbin & Southworth, Frank & Ma, Shoufeng & Wang, Yuan, 2019. "What drives CO2 emissions from the transport sector? A linkage analysis," Energy, Elsevier, vol. 175(C), pages 195-204.
    26. Sheng, Dian & Li, Zhi-Chun & Fu, Xiaowen & Gillen, David, 2017. "Modeling the effects of unilateral and uniform emission regulations under shipping company and port competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 99-114.
    27. Xiao-Yi Li & Bao-Jun Tang, 2017. "Incorporating the transport sector into carbon emission trading scheme: an overview and outlook," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(2), pages 683-698, September.
    28. Lin, Boqiang & Jia, Zhijie, 2018. "Impact of quota decline scheme of emission trading in China: A dynamic recursive CGE model," Energy, Elsevier, vol. 149(C), pages 190-203.
    29. Chih Chang, Ching & Chia Lai, Tin, 2013. "Carbon allowance allocation in the transportation industry," Energy Policy, Elsevier, vol. 63(C), pages 1091-1097.
    30. Demir, Emrah & Burgholzer, Wolfgang & Hrušovský, Martin & Arıkan, Emel & Jammernegg, Werner & Woensel, Tom Van, 2016. "A green intermodal service network design problem with travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 789-807.
    31. Zheng, Shiyuan & Fu, Xiaowen & Wang, Kun & Li, Hongchang, 2021. "Seaport adaptation to climate change disasters: Subsidy policy vs. adaptation sharing under minimum requirement," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    32. Jiang, Yonglei & Sheu, Jiuh-Biing & Peng, Zixuan & Yu, Bin, 2018. "Hinterland patterns of China Railway (CR) express in China under the Belt and Road Initiative: A preliminary analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 119(C), pages 189-201.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zhang, Weipan & Wu, Xianhua & Chen, Jihong, 2024. "Low-carbon efficiency analysis of rail-water multimodal transport based on cross efficiency network DEA approach," Energy, Elsevier, vol. 305(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zheng, Shiyuan & Wang, Kun & Li, Zhi-Chun & Fu, Xiaowen & Chan, Felix T.S., 2021. "Subsidy or minimum requirement? Regulation of port adaptation investment under disaster ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 457-481.
    2. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    3. Zhang, Yilin & Zhang, Anming & Wang, Kun & Zheng, Shiyuan & Yang, Hangjun & Hong, Junjie, 2023. "Impact of CR Express and intermodal freight transport competition on China-Europe Route: Emission and welfare implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    4. 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).
    5. Zheng, Shiyuan & Wang, Kun & Chan, Felix T.S. & Fu, Xiaowen & Li, Zhi-Chun, 2022. "Subsidy on transport adaptation investment-modeling decisions under incomplete information and ambiguity," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 103-129.
    6. Wang, Mei-Ru & Li, Zhi-Chun & Fu, Xiaowen & Xiong, Yi, 2024. "Revenue-sharing in the alliance of inland river and sea carriers: Formulation and a case study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    7. (Kevin) Park, Hyosoo & Chang, Young-Tae & Zou, Bo, 2018. "Emission control under private port operator duopoly," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 40-65.
    8. Zheng, Shiyuan & Fu, Xiaowen & Wang, Kun & Li, Hongchang, 2021. "Seaport adaptation to climate change disasters: Subsidy policy vs. adaptation sharing under minimum requirement," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    9. Tamannaei, Mohammad & Zarei, Hamid & Rasti-Barzoki, Morteza, 2021. "A game theoretic approach to sustainable freight transportation: Competition between road and intermodal road–rail systems with government intervention," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 272-295.
    10. Chen, Dongxu & Peng, Sufan & Lian, Feng & Yang, Zhongzhen, 2023. "Optimization of a Japan-Europe multimodal transportation corridor," Transportation Research Part A: Policy and Practice, Elsevier, vol. 175(C).
    11. Wang, Ming & Tan, Zhijia & Du, Yuquan, 2024. "Coordinating inland river ports through optimal subsidies from the container shipping carrier," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
    12. Wang, Kun & Zhang, Anming, 2018. "Climate change, natural disasters and adaptation investments: Inter- and intra-port competition and cooperation," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 158-189.
    13. Dong, Gang & Ishii, Masahiro & Zheng, Shiyuan & Tezuka, Koichiro & Lee, Paul Tae-Woo, 2024. "Port capacity-sharing decisions in the post-COVID-19 pandemic era," Transport Policy, Elsevier, vol. 147(C), pages 22-31.
    14. Lu, Bo & Xu, Xin & Qin, Xiaomeng & Cheng, T.C.E., 2024. "Optimal shore power adoption decisions with government regulation considering port competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 188(C).
    15. Gong, Xu & Li, Zhi-Chun, 2022. "Determination of subsidy and emission control coverage under competition and cooperation of China-Europe Railway Express and liner shipping," Transport Policy, Elsevier, vol. 125(C), pages 323-335.
    16. Qian Dai & Jiaqi Yang & Dong Li, 2018. "Modeling a Three-Mode Hybrid Port-Hinterland Freight Intermodal Distribution Network with Environmental Consideration: The Case of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 10(9), pages 1-26, August.
    17. Babagolzadeh, Mahla & Zhang, Yahua & Abbasi, Babak & Shrestha, Anup & Zhang, Anming, 2022. "Promoting Australian regional airports with subsidy schemes: Optimised downstream logistics using vehicle routing problem," Transport Policy, Elsevier, vol. 128(C), pages 38-51.
    18. Zhang, Li-Hao & Liu, Chunxiao & Zhang, Cheng & Wang, Shanshan, 2023. "Upstream encroachment and downstream outsourcing in competing shipping supply chains," International Journal of Production Economics, Elsevier, vol. 255(C).
    19. Yang, Rui-feng & Hu, Rong & Xiao, Yi-bin & Deng, Xia & Wang, Kun, 2022. "Seaport's investment under disaster information asymmetry between public and private operators," Transport Policy, Elsevier, vol. 119(C), pages 89-112.
    20. Asghari, Mohammad & Mirzapour Al-e-hashem, S. Mohammad J., 2021. "Green vehicle routing problem: A state-of-the-art review," International Journal of Production Economics, Elsevier, vol. 231(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:transa:v:184:y:2024:i:c:s0965856424001149. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/547/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.