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Optimization of traffic demand management policy in China: towards a sustainable mode split

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  • Shumin Feng
  • Xianghao Shen
  • Baoyu Hu

Abstract

The rapid increase in private car use in large metropolitan areas has led to irrational travel mode splits and severe traffic problems. Traffic demand management (TDM) is an effective policy to achieve a more sustainable development of traffic systems. This study analyzes the relationships between TDM policy, mode split, and travel mode choice using Stackelberg game theory. Then, using 0–1 programming, it establishes a combination of TDM policy instruments that can achieve a more sustainable mode split in a city and provides a case study in China. The method presented in this research has strong theoretical implications for TDM policymakers.

Suggested Citation

  • Shumin Feng & Xianghao Shen & Baoyu Hu, 2018. "Optimization of traffic demand management policy in China: towards a sustainable mode split," Transportation Planning and Technology, Taylor & Francis Journals, vol. 41(2), pages 198-210, February.
    • Handle: RePEc:taf:transp:v:41:y:2018:i:2:p:198-210
    DOI: 10.1080/03081060.2018.1407528
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    Cited by:

    1. Cezary Kowalczyk & Jacek Kil & Krystyna Kurowska, 2019. "Changes in Land Plot Morphology Resulting from the Construction of a Bypass: The Example of a Polish City," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    2. Xue Wang & Suwei Feng & Tianyi Tang, 2023. "Acceptability toward Policy Mix: Impact of Low-Carbon Travel Intention, Fairness, and Effectiveness," Sustainability, MDPI, vol. 15(20), pages 1-22, October.
    3. Melia, Dr Steve, 2019. "Why did UK governments cut road building in the 1990s and expand it after 2010?," Transport Policy, Elsevier, vol. 81(C), pages 242-253.
    4. Xiangyang Cao & Bingzhong Zhou & Qiang Tang & Jiaqi Li & Donghui Shi, 2018. "Urban Wasteful Transport and Its Estimation Methods," Sustainability, MDPI, vol. 10(12), pages 1-15, December.

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