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Main Title: Simultaneous internalization of traffic congestion and noise exposure costs
Author(s): Kaddoura, Ihab
Nagel, Kai
Type: Article
Language Code: en
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.
Issue Date: 2017
Date Available: 21-Feb-2019
DDC Class: 380 Handel, Kommunikation, Verkehr
Subject(s): road traffic noise
traffic congestion
optimal pricing
dynamic tolling
activity-based transport modeling
Journal Title: Transportation
Publisher: Springer
Publisher Place: Dordrecht [u.a.]
Volume: 45
Issue: 5
Publisher DOI: 10.1007/s11116-017-9776-0
Page Start: 1579
Page End: 1600
EISSN: 1572-9435
ISSN: 0049-4488
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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