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Simultaneous internalization of traffic congestion and noise exposure costs

Author

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  • Ihab Kaddoura

    (Technische Universität Berlin)

  • Kai Nagel

    (Technische Universität Berlin)

Abstract

This study elaborates on the interrelation of external effects, in particular road traffic congestion and noise. An agent-based simulation framework is used to compute and internalize user-specific external congestion effects and noise exposures. The resulting user equilibrium corresponds to an approximation of the system optimum. For traffic congestion and noise, single objective optimization is compared with multiple objective optimization. The simulation-based optimization approach is applied to the real-world case study of the Greater Berlin area. The results reveal a negative correlation between congestion and noise. Nevertheless, the multiple objective optimization yields a simultaneous reduction in congestion and noise. During peak times, congestion is the more relevant external effect, whereas, during the evening, night and morning, noise is the more relevant externality. Thus, a key element for policy making is to follow a dynamic approach, i.e. to temporally change the incentives. During off-peak times, noise should be reduced by concentrating traffic flows along main roads, i.e. inner-city motorways. In contrast, during peak times, congestion is reduced by shifting transport users from the inner-city motorway to smaller roads which, however, may have an effect on other externalities.

Suggested Citation

  • Ihab Kaddoura & Kai Nagel, 2018. "Simultaneous internalization of traffic congestion and noise exposure costs," Transportation, Springer, vol. 45(5), pages 1579-1600, September.
    • Handle: RePEc:kap:transp:v:45:y:2018:i:5:d:10.1007_s11116-017-9776-0
    DOI: 10.1007/s11116-017-9776-0
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    Cited by:

    1. Kaddoura, Ihab & Nagel, Kai, 2019. "Congestion pricing in a real-world oriented agent-based simulation context," Research in Transportation Economics, Elsevier, vol. 74(C), pages 40-51.
    2. Hadi Karimi & Bahador Ghadirifaraz & Seyed Nader Shetab Boushehri & Seyyed-Mohammadreza Hosseininasab & Narges Rafiei, 2022. "Reducing traffic congestion and increasing sustainability in special urban areas through one-way traffic reconfiguration," Transportation, Springer, vol. 49(1), pages 37-60, February.
    3. Miroslaw Smieszek & Magdalena Dobrzanska & Pawel Dobrzanski, 2019. "Rzeszow as a City Taking Steps Towards Developing Sustainable Public Transport," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    4. Mengying Cui & David Levinson, 2021. "Shortest paths, travel costs, and traffic," Environment and Planning B, , vol. 48(4), pages 828-844, May.
    5. Kaddoura, Ihab & Bischoff, Joschka & Nagel, Kai, 2020. "Towards welfare optimal operation of innovative mobility concepts: External cost pricing in a world of shared autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 48-63.

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