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

Haibo Wang (), Zhipeng Wu, Xiaolin Yan and Jincai Chen
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Haibo Wang: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
Zhipeng Wu: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China
Xiaolin Yan: School of Civil and Transportation, Hebei University of Technology, Tianjin 300401, China
Jincai Chen: School of Civil and Transportation Engineering, Guangdong University of Technology, Guangzhou 510006, China

Sustainability, 2023, vol. 15, issue 8, 1-20

Abstract: 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/km 2 , 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.

Keywords: traffic noise; network density; coefficient of inhomogeneity; structural equation model; road spatial location (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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