Noise exposure of cyclists in Ho Chi Minh City: A spatio-temporal analysis using non-linear models

Authors: Jeremy Gelb*, INRS Urbanisation Culture Société, Philippe Apparicio, INRS Urbanisation Culture Société
Topics: Urban Geography, Transportation Geography, Environment
Keywords: Noise, GAM, Road traffic noise, cycling, Vietnam
Session Type: Paper
Day: 4/3/2019
Start / End Time: 4:30 PM / 6:10 PM
Room: Marshall South, Marriott, Mezzanine Level
Presentation File: No File Uploaded

Context: The effects of noise on health are today well known. Many studies have recently shown that cyclists represent a population that is strongly exposed to urban noise, particularly because of their proximity to road traffic. These studies have however rarely examined the case of the cities of the South, despite the fact that these cities are known to have higher levels of exposure to noise.
Objective: The aim of this study is therefore to analyze variations in cyclists’ levels of noise exposure in Ho Chi Minh City (Vietnam) by integrating three dimensions: that is, the characteristics of the trip, neighbourhood effects, and the temporal dimension.
Methods: Three participants cycled more than 1,000 km in the city, equipped with noise dosimeters and GPS watches, for a total of 3,300 one-minute segments.
Results: It is not surprising that the levels of exposure registered were particularly high (average 78.8 dB(A)), notably compared with earlier studies conducted in Europe and North America. The use of generalized additive models in particular made it possible to highlight the effect of the complex interaction between the slope and the cyclists’ speed on the levels of noise exposure, the effect and duration of the morning and afternoon rush hour periods, and the spatial distribution of residual environmental noise. One of the main findings was that in sectors with the highest levels of exposure to noise (central neighbourhoods or areas near the airport), these levels are up to four times higher than in more peripheral or rural areas.

Abstract Information

This abstract is already part of a session. View the session here.

To access contact information login