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A Bi-Level Model for Green Freight Transportation Pricing Strategy Considering Enterprise Profit and Carbon Emissions

Author

Listed:
  • Danzhu Wang

    (Transportation & Economics Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China)

  • Lingyun Zhou

    (Transportation & Economics Research Institute, China Academy of Railway Sciences Corporation Limited, Beijing 100081, China)

  • Huimin Zhang

    (State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China)

  • Xiaokang Liang

    (Passenger Transport Department, China State Railway Group Corporation Limited, Beijing 100844, China)

Abstract

Due to the impact of COVID-19, enterprises need effective pricing strategies to improve profits and viability. In order to fill research gaps in the literature relating to market competition among different freight modes and to adjust the freight transportation structure by optimizing transportation prices, we propose a multi-objective bi-level programming pricing model that considers market competition and the carbon emissions of the freight system in China. First, an objective function in upper-level planning was used to improve logistics enterprise profits and reduce the total carbon emissions of the freight system. Then, a generalized cost function for the freight transportation mode was designed to quantify the market competition among different transportation modes, and a user equilibrium assignment model was established to obtain the results of cargo flow assignment in lower-level planning. To solve the model, a sensitivity analysis algorithm was designed, and a logistics network example was used to verify the effectiveness of the model. The experimental results show that reasonable freight price adjustment can effectively increase enterprise profits and reduce the total carbon emissions of the freight system. In this paper, we provide a new method for freight pricing research, considering the market competition of multiple transportation modes, and provide a new idea for adjusting the transportation structure through freight price optimization, which will play a positive role in promoting the development of green freight.

Suggested Citation

  • Danzhu Wang & Lingyun Zhou & Huimin Zhang & Xiaokang Liang, 2021. "A Bi-Level Model for Green Freight Transportation Pricing Strategy Considering Enterprise Profit and Carbon Emissions," Sustainability, MDPI, vol. 13(12), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:12:p:6514-:d:570692
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    References listed on IDEAS

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    1. 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.
    2. Alizadeh, Reza & Gharizadeh Beiragh, Ramin & Soltanisehat, Leili & Soltanzadeh, Elham & Lund, Peter D., 2020. "Performance evaluation of complex electricity generation systems: A dynamic network-based data envelopment analysis approach," Energy Economics, Elsevier, vol. 91(C).
    3. Robert J. R. Elliott & Ingmar Schumacher & Cees Withagen, 2020. "Suggestions for a Covid-19 Post-Pandemic Research Agenda in Environmental Economics," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 76(4), pages 1187-1213, August.
    4. Yuli Shan & Jiamin Ou & Daoping Wang & Zhao Zeng & Shaohui Zhang & Dabo Guan & Klaus Hubacek, 2021. "Impacts of COVID-19 and fiscal stimuli on global emissions and the Paris Agreement," Nature Climate Change, Nature, vol. 11(3), pages 200-206, March.
    5. Herie Park & Sungwoo Bae, 2021. "Quantitative Assessment of Energy Supply Security: Korea Case Study," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    6. Zhao Liu & Ling Li & Yue-Jun Zhang, 2015. "Investigating the CO 2 emission differences among China’s transport sectors and their influencing factors," 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. 77(2), pages 1323-1343, June.
    7. Alizadeh, Reza & Soltanisehat, Leili & Lund, Peter D. & Zamanisabzi, Hamed, 2020. "Improving renewable energy policy planning and decision-making through a hybrid MCDM method," Energy Policy, Elsevier, vol. 137(C).
    8. Arbib, Claudio & Pınar, Mustafa Ç. & Tonelli, Matteo, 2020. "Competitive location and pricing on a line with metric transportation costs," European Journal of Operational Research, Elsevier, vol. 282(1), pages 188-200.
    9. Chang, Tang-Hsien & Tseng, Jen-Sung & Hsieh, Tung-Hung & Hsu, Yu-Ting & Lu, Ying-Chih, 2018. "Green transportation implementation through distance-based road pricing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 53-64.
    10. Eva Brumercikova & Adrian Sperka, 2020. "Problems of Access to Services at Railway Stations in Freight Transport in the Slovak Republic," Sustainability, MDPI, vol. 12(19), pages 1-13, September.
    11. Chen, Linxi & Yang, Hai, 2012. "Managing congestion and emissions in road networks with tolls and rebates," Transportation Research Part B: Methodological, Elsevier, vol. 46(8), pages 933-948.
    12. Alizadeh, Reza & Lund, Peter D. & Soltanisehat, Leili, 2020. "Outlook on biofuels in future studies: A systematic literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 134(C).
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