Modelling of traffic noise in the vicinity of urban road intersections

Adarsh Yadav, Jyoti Mandhani, Manoranjan Parida, Brind Kumar

Research output: Contribution to journalArticlepeer-review

Abstract

Traffic noise is continuously rising alongside roadways, especially at intersections, due to rapid urbanization, eventually affecting acoustical climate and quality of life. This present study develops a traffic noise model for intersections with minimal evidence of interrelationships among influential traffic noise factors. An integrated Bayesian networks and Partial least squares structural equation modelling approach has been employed on 342-hour field measurement data collected from nineteen intersections in Kanpur, India. The integrated approach developed the traffic noise prediction model with 62.4% explanatory power and identified direct and indirect effects of five influential factors on traffic noise. For instance, Traffic flow attributes, i.e., traffic volume and honking, are the most crucial ones to degrade acoustical climate at intersections. Besides, Built environment and Climate conditions induce only indirect effects on traffic noise. Thus, this study provides a useful basis for planners to understand traffic noise relationships and deploy noise mitigation strategies accordingly.
Original languageEnglish
Article number103474
JournalTransportation Research Part D: Transport and Environment
Volume112
Early online date13 Oct 2022
DOIs
Publication statusPublished - Nov 2022

Keywords

  • Bayesian networks
  • Influencing factors
  • Partial least squares structural equation modelling (PLS-SEM)
  • Traffic noise
  • Urban intersections

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Transportation
  • Environmental Science(all)

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