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A Methodology for the Definition of the Acoustic Capacity of a Road Infrastructure

Author

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  • Marino Lupi

    (Department of Civil and Industrial Engineering, University of Pisa, 56126 Pisa, Italy)

  • Chiara Pratelli

    (Department of Civil and Industrial Engineering, University of Pisa, 56126 Pisa, Italy)

  • Alessandro Farina

    (Department of Civil and Industrial Engineering, University of Pisa, 56126 Pisa, Italy)

Abstract

In this paper, a new methodology for the assessment of the so-called “acoustic capacity” of a road infrastructure is proposed. This aspect is very important in the field of transportation planning as, currently, road infrastructures are verified only in terms of physical capacity; at most, the environmental capacity due to atmospheric pollutants is taken into account, while the acoustic capacity is completely neglected. The acoustic capacity is assessed based on the Harmonoise model, which is widely recognized at the European level. The Harmonoise model, starting from traffic data, such as traffic flows, average speed, and typologies of vehicles, provides the levels of noise emissions and immissions, which can be compared to the noise limit levels established by law. The validity of the proposed methodology was assessed on a test network. The results of this analysis show that, generally, the acoustic capacity is actually a capacity constraint, which involves several traffic flows: this occurs in particular in the case of an intersection, but also in the case of a bi-directional road. Furthermore, the acoustic capacity of a road infrastructure is generally lower than its physical capacity.

Suggested Citation

  • Marino Lupi & Chiara Pratelli & Alessandro Farina, 2021. "A Methodology for the Definition of the Acoustic Capacity of a Road Infrastructure," Sustainability, MDPI, vol. 13(21), pages 1-28, October.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:21:p:11920-:d:666783
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    References listed on IDEAS

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    1. Ferrari, Paolo, 1995. "Road pricing and network equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 29(5), pages 357-372, October.
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    Cited by:

    1. Marino Lupi & Marco Boero & Daniele Conte & Luca Naso Rappis & Mauro Vannucci & Alessandro Farina, 2022. "An ITS System for Reducing Congestion and Noise Pollution due to Vehicles to/from Port Terminals," Sustainability, MDPI, vol. 14(21), pages 1-25, November.

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