Using city-wide mobile noise assessments to estimate bicycle trip annual exposure to Black Carbon. (October 2015)

• Record Type: Journal Article
• Authors: Dekoninck, Luc; Botteldooren, Dick; Int Panis, Luc
• Is Part Of: Environment international. Volume 83(2015:Oct.)
• Page Start: 192
• Page End: 201
• Publication Date: 2015-10
• Subjects: Black Carbon -- Vehicle noise -- Personal exposure -- Cyclists -- Traffic -- Active mobility; Environmental protection -- Periodicals; Environmental health -- Periodicals; Environmental monitoring -- Periodicals; Environmental Monitoring -- Periodicals; Environnement -- Protection -- Périodiques; Hygiène du milieu -- Périodiques; Environnement -- Surveillance -- Périodiques; Environmental health; Environmental monitoring; Environmental protection; Periodicals; 333.705
• DOI: 10.1016/j.envint.2015.07.001
• Languages: English
• ISSNs: 0160-4120

Abstract

Abstract: Several studies have shown that a significant amount of daily air pollution exposure, in particular Black Carbon (BC), is inhaled during bicycle trips. Previously, the instantaneous BC exposure of cyclists was modeled as the sum of a background concentration and a local traffic related component based on a local assessment of traffic noise. We present a fast and low cost methodology to achieve a city-wide assessment of yearly average BC exposure of cyclists along their trips, based on a city-wide mobile noise sensing campaign. The methodology requires participatory sensing measurements of noise, partially combined with BC and/or other air pollutants sensitive to local traffic variations. The combined measurements cover the spatial and meteorological variability and provide the data for an instantaneous exposure model. The mobile noise-only measurements map the full city; and yearly meteorology statistics are used to extrapolate the instantaneous exposure model to a yearly average map of in-traffic air pollution exposure. Less than four passages at each segment along the network with mobile noise equipment are necessary to reach a standard error of 500 ng/m 3 for the yearly average BC exposure. A strong seasonal effect due to the BC background concentration is detected. The background contributes only 25% to the total trip exposure during spring and summer. During winter the background component increases to 50–60%. Engine related traffic noise along the bicyclist's route is a valid indicator of the BC exposure along the route, independent of the seasonal background. Low exposure route selection results in an exposure reduction of 35% in winter and 60% in summer, sensitive to the weather conditions, specific trip attributes and the available alternatives. The methodology is relevant for further research into the local effects of air pollution on health. Mobile noise mapping adds local traffic data including traffic dynamics into the air pollution exposure assessments. Local policy makers and urban planners can use the results to support the implementation of low exposure infrastructure, create awareness through route planners and achieve behavioral changes toward active travel modes. Highlights: Mobile noise level within 2 dB is sufficient to estimate annual BC exposure of cyclists. Mapping mobile noise provides city-wide yearly averaged in-traffic air pollution exposure. A low-cost methodology for city-wide evaluation of noise and air pollution is presented. Cyclists can reduce exposure by 35–60% through selecting low exposure routes.