CARBON EMISSION OPTIMIZATION METHOD FOR OPERATING TUNNELS: AN EVOLUTIONARY GAME-BASED ANALYSIS STUDY

19th WORLD CONFERENCE OF THE ASSOCIATED RESEARCH CENTRES FOR THE URBAN UNDERGROUND SPACE, Belgrade, Serbia, November 4-7, 2025. (Paper No: 3.15.127,  pp. 602-612)

 

АУТОР(И) / AUTHOR(S): Yumeng Song, Hehua Zhu, Yi Shen, Panfeng Guan, Shouzhong Feng

 

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DOI:  10.46793/ACUUS2025.3.15.127

САЖЕТАК / ABSTRACT:

For the contradiction between the carbon reduction benefits and economic costs of operating tunnels’ carbon reduction measures and government incentive policies, this paper establishes an evolutionary game model between the government and tunnel operators, and analyzes the evolutionary paths of strategic choices between the two game sides by replicating the dynamic equations. Through numerical simulation, the influence of key parameters such as incentive policy and carbon reduction cost on the balance of the game is quantitatively analyzed. This study can provide a decision-making basis for the implementation of tunnel carbon reduction measures and the formulation of carbon reduction policies.

КЉУЧНЕ РЕЧИ / KEYWORDS:

Low-carbon tunnel, Evolutionary game, Incentive policy, Carbon emission optimization

ПРОЈЕКАТ / ACKNOWLEDGEMENT:

The authors wish to acknowledge the sponsorship from the Research on Key Technologies for the Planning, Design, and Construction of the S7 Shanghai-Chongming West River-Crossing Tunnel (Y202445) and Research Fund of State Key Laboratory for Disaster Reduction in Civil Engineering (SLDRCE19-A-14). The support from the China Railway 14th Bureau Group Co., Ltd is highly appreciated.

ЛИТЕРАТУРА / REFERENCES:

  • Beiza, J. (2024). A developed tunnel ventilation system modeling for an intelligent transportation system. JOURNAL OF ADVANCED TRANSPORTATION, 2024, 1–14. https://doi.org/10.1155/2024/6417493
  • Cengiz, M. S., and Cengiz, C. (2018). Numerical analysis of tunnel led lighting maintenance factor. IIUM ENGINEERING JOURNAL, 19(2), 154–163. https://doi.org/10.31436/iiumej.v19i2.1007
  • Fan, K., and Hui, E. C. M. (2020). Evolutionary game theory analysis for understanding the decision-making mechanisms of governments and developers on green building incentives. Building and Environment, 179, 106972. https://doi.org/10.1016/j.buildenv.2020.106972
  • Guo, Y., Luo, G., and Hou, G. (2021). Research on the evolution of the express packaging recycling strategy, considering government subsidies and synergy benefits. International Journal of Environmental Research and Public Health, 18(3), 1144. https://doi.org/10.3390/ijerph18031144
  • Haoyang, W., Lei, G., and Ying, J. (2022). The predicament of clean energy technology promotion in China in the carbon neutrality context: Lessons from china’s environmental regulation policies from the perspective of the evolutionary game theory. Energy Reports, 8, 4706–4723. https://doi.org/10.1016/j.egyr.2022.03.142
  • Huo, H., Liu, H., Bao, X., and Cui, W. (2022). Game analysis of supply chain enterprises’ choice of carbon emission reduction behavior under environmental regulation and consumers’ low carbon preference. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2022, 3013289. https://doi.org/10.1155/2022/3013289
  • Hussain, M., Zheng, B., Chi, H.-L., Hsu, S.-C., and Chen, J.-H. (2023). Automated and continuous BIM-based life cycle carbon assessment for infrastructure design projects. RESOURCES CONSERVATION AND RECYCLING, 190, 106848. https://doi.org/10.1016/j.resconrec.2022.106848
  • Jiang, Z., Jia, C., Zheng, P., Gong, Y., Li, N., Ahmed, A., Zhang, Z., and Luo, D. (2022). A transverse deceleration energy harvester based on a sliding plate for self-powered applications in near-zero energy road tunnels. Sustainable Cities and Society, 84, 104014. https://doi.org/10.1016/j.scs.2022.104014
  • Li, Y., and Zhang, J. (2024). Evolutionary game analysis of low-carbon incentive behaviour of power battery recycling based on prospect theory. SUSTAINABILITY, 16(7), 2793. https://doi.org/10.3390/su16072793
  • Liu, T., Zhu, H., Shen, Y., Li, T., and Liu, A. (2024). Embodied carbon assessment on road tunnels using integrated digital model: Methodology and case-study insights. TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, 143, 105485. https://doi.org/10.1016/j.tust.2023.105485
  • Mu, H., Chen, P., Wang, H., Li, N., and Xu, N. (2025). Tripartite evolutionary game analysis of fishery carbon sink trading in China based on prospect theory. POLISH JOURNAL OF ENVIRONMENTAL STUDIES, 34(1), 245–261. https://doi.org/10.15244/pjoes/182897
  • Pritchard, J. A., and Preston, J. (2018). Understanding the contribution of tunnels to the overall energy consumption of and carbon emissions from a railway. Transportation Research Part D-Transport and Environment, 65, 551–563. https://doi.org/10.1016/j.trd.2018.09.010
  • Qiao, Y., Qiao, R., and Qiao, Y. (2024). Competitive game model and evolutionary strategy analysis of green power and thermal power generation. SYMMETRY-BASEL, 16(8), 959. https://doi.org/10.3390/sym16080959
  • Shen, Y., Deng, Y., Li, T., Zhou, L., Feng, S., and Zhu, H. (2022). Determining multidimensional diffuse reflection effects in city tunnel lighting environment. Building and Environment, 212, 108796. https://doi.org/10.1016/j.buildenv.2022.108796
  • Song, Y., Zhu, H., Shen, Y., Yan, Z., and Feng, S. (2024a). Zero-carbon tunnel: Concept, methodology and application in the built environment. JOURNAL OF CLEANER PRODUCTION, 479, 144031. https://doi.org/10.1016/j.jclepro.2024.144031
  • Song, Y., Zhu, H., Shen, Y., Deng, Y., and Feng, S. (2024b). Multi-dimensional tunnel lighting environment model: Determining illuminance with regression analysis and parametric study on key factors. Tunnelling and Underground Space Technology, 151, 105864. https://doi.org/10.1016/j.tust.2024.105864
  • Wan, S., Zhang, J., and Cheng, X. (2022). Behavior choice and emission reduction in a dynamic supply chain with a capital-constrained retailer. DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2022, 5857852. https://doi.org/10.1155/2022/5857852
  • Wang, Y., Du, P., Chen, Y., Hua, S., Wang, J., Shi, C., and Liu, K. (2023). Mixed ventilation approach combined with single-shaft complementary system for highway tunnels. Tunnelling and Underground Space Technology, 132, 104927. https://doi.org/10.1016/j.tust.2022.104927
  • Xue, X., Ji, A., Luo, X., Dou, Y., and Fan, H. (2024). INTEGRATING EVOLUTIONARY GAME AND SYSTEM DYNAMICS FOR MULTI-PLAYER SAFETY REGULATION OF MAJOR INFRASTRUCTURE PROJECTS IN CHINA. JOURNAL OF CIVIL ENGINEERING AND MANAGEMENT, 30(4), 307–325. https://doi.org/10.3846/jcem.2024.21175
  • Yang, X., and Liu, K. (2024). Low-carbon construction in China’s construction industry from the perspective of evolutionary games. BUILDINGS, 14(6), 1593. https://doi.org/10.3390/buildings14061593