Impact Evaluation of Network Structure Differentiation on Traffic Noise during Road Network Design

• Published in: Sustainability 2023-04, Vol.15 (8), p.6483
• Main Authors: Wang, Haibo, Wu, Zhipeng, Yan, Xiaolin, Chen, Jincai
• Format: Article
• Language: English
• Subjects: Analysis; Cardiovascular disease; Construction; Differentiation; Inhomogeneity; Morphology; Multivariate statistical analysis; Network design; Noise control; Noise pollution; Noise prediction; Prediction models; Roads; Roads & highways; Stochasticity; Structural equation modeling; Sustainability; Traffic control; Traffic flow; Traffic speed; Transportation networks; Transportation noise; Vehicles
• ISSN: 2071-1050; 2071-1050
• DOI: 10.3390/su15086483

To evaluate the characteristics of traffic noise under different network structures, an evaluation method is established to clarify the mechanism of traffic noise impacted by variational network structures. First, a stochastic user equilibrium (SUE) model considering intersection delays is developed to allocate traffic flows of different network structures, and a flow-based univariate noise prediction model is used to simulate network noise distribution. Secondly, differentiation indexes including the coefficient of inhomogeneity (COI) and the concept of Lane Area Ratio (LAR) are set to quantify the network structure differences. Finally, a structural equation model (SEM) is developed to investigate the influence mechanism of network structure differentiation on traffic noise. The following conclusions are obtained: (1) The impact of network density differentiation on traffic noise is mainly reflected in the changes of road traffic flow and speed. Traffic noise decreases as the network density increases. In this case, when network density increases by 1 km/km2, traffic noise decreases by 1.6 dB. As network density increases, which means a dispensation of traffic flow, traffic noise is diminished by a reduction in traffic flow and speed. (2) The impact of road spatial location differentiation on traffic noise mainly depends on the number of noise sources. Traffic noise increases with the dense distribution of roads. In this case, when the COI increases by 1, the traffic noise increases by 3.0 dB. A higher COI indicates that the region will be exposed to more noise sources, which leads to traffic noise raises. The study can provide an effective basis for traffic noise control at the initial stage of network planning.