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Enhancing sustainable urban mobility: a multi-agent analysis of low-carbon policy impacts on travel behavior in Fuzhou’s main urban area, China

Author

Listed:
  • Qiuyi Zhang

    (Fujian University of Technology
    Ministry of Education)

  • Boyuan Huang

    (Fujian University of Technology)

  • Bingjie Yu

    (Southwest Jiaotong University)

  • Liying Wu

    (Ministry of Education)

Abstract

The escalating carbon emissions from urban transportation pose significant challenges to environmental sustainability and public health. This study leverages the theory of random utility maximization and employs a nested logit model (NL) within an agent-based modeling (ABM) framework to investigate the impact of low-carbon transportation policies on travel mode choices among urban residents. Focusing on Fuzhou’s main urban area as a case study, the research integrates residents’ demographic attributes, travel preferences, and the influence of policy interventions to simulate and analyze the dynamics of travel behavior under various low-carbon policy scenarios. The study’s simulation experiments encompass traditional license plate restrictions, community-based social network interventions, and composite carbon trading policies. The results, benchmarked against real-world survey data, validate the agent-based model’s feasibility and adaptability, offering novel insights into policy effectiveness and providing decision support for policymakers. This research contributes to the discourse on sustainable urban development by elucidating the transformative potential of low-carbon policies and their capacity to reshape travel mode choices in the pursuit of environmental goals.

Suggested Citation

  • Qiuyi Zhang & Boyuan Huang & Bingjie Yu & Liying Wu, 2024. "Enhancing sustainable urban mobility: a multi-agent analysis of low-carbon policy impacts on travel behavior in Fuzhou’s main urban area, China," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    • Handle: RePEc:pal:palcom:v:11:y:2024:i:1:d:10.1057_s41599-024-04270-0
    DOI: 10.1057/s41599-024-04270-0
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    References listed on IDEAS

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    1. Àlex Boso & Jaime Garrido & Luz Karime Sánchez-Galvis & Ignacio Rodríguez & Arturo Vallejos-Romero, 2024. "Exploring role-playing as a tool for involving citizens in air pollution mitigation urban policies," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-11, December.
    2. Macea, Luis F. & Márquez, Luis & Soto, Jose J., 2023. "How do the affective and symbolic factors of private car driving influence car users’ travel behavior in a car restriction policy scenario?," Transport Policy, Elsevier, vol. 140(C), pages 100-113.
    3. John C. Whitehead & Daniel K. Lew, 2020. "Estimating recreation benefits through joint estimation of revealed and stated preference discrete choice data," Empirical Economics, Springer, vol. 58(4), pages 2009-2029, April.
    4. Xingwei Li & Jingru Li & Yicheng Huang & Jinrong He & Xiang Liu & Jiachi Dai & Qiong Shen, 2022. "Construction enterprises’ adoption of green development behaviors: an agent-based modeling approach," Palgrave Communications, Palgrave Macmillan, vol. 9(1), pages 1-11, December.
    5. Silvia Saleh & Anusree Saha Tithi & Nazmus Sakib & Tonmoy Paul & Nafis Anwari & Shohel Amin, 2023. "Theory of Planned Behavior to Understand Commuter’s Perception towards Mass Rapid Transit in Dhaka City, Bangladesh," Sustainability, MDPI, vol. 15(14), pages 1-18, July.
    6. Li Zhang & Lan Tao & Fangyi Yang & Yuchen Bao & Chong Li, 2024. "Promoting green transportation through changing behaviors with low-carbon-travel function of digital maps," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
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