Using city-wide mobile noise assessments to estimate bicycle trip annual exposure to Black Carbon

被引:20
作者
Dekoninck, Luc [1 ]
Botteldooren, Dick [1 ]
Panis, Luc Int [2 ,3 ]
机构
[1] Univ Ghent, Informat Technol, Acoust Grp, B-9000 Ghent, Belgium
[2] Flemish Inst Technol Res VITO, B-2400 Mol, Belgium
[3] Hasselt Univ, Transportat Res Inst IMOB, B-3590 Diepenbeek, Belgium
关键词
Black Carbon; Vehicle noise; Personal exposure; Cyclists; Traffic; Active mobility; AIR-POLLUTION; PARTICLES; ULTRAFINE; QUALITY; PREDICT; MODEL;
D O I
10.1016/j.envint.2015.07.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:192 / 201
页数:10
相关论文
共 27 条
  • [1] Review of Urban Bicyclists' Intake and Uptake of Traffic-Related Air Pollution
    Bigazzi, Alexander Y.
    Figliozzi, Miguel A.
    [J]. TRANSPORT REVIEWS, 2014, 34 (02) : 221 - 245
  • [2] Contrast in air pollution components between major streets and background locations: Particulate matter mass, black carbon, elemental composition, nitrogen oxide and ultrafine particle number
    Boogaard, Hanna
    Kos, Gerard P. A.
    Weijers, Ernie P.
    Janssen, Nicole A. H.
    Fischer, Paul H.
    van der Zee, Saskia C.
    de Hartog, Jeroen J.
    Hoek, Gerard
    [J]. ATMOSPHERIC ENVIRONMENT, 2011, 45 (03) : 650 - 658
  • [3] The Influence of Traffic Noise on Appreciation of the Living Quality of a Neighborhood
    Botteldooren, Dick
    Dekoninck, Luc
    Gillis, Dominique
    [J]. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 2011, 8 (03) : 777 - 798
  • [4] Measurement network for urban noise assessment: Comparison of mobile measurements and spatial interpolation approaches
    Can, A.
    Dekoninck, L.
    Botteldooren, D.
    [J]. APPLIED ACOUSTICS, 2014, 83 : 32 - 39
  • [5] Sampling approaches to predict urban street noise levels using fixed and temporary microphones
    Can, Arnaud
    Van Renterghem, Timothy
    Rademaker, Michael
    Dauwe, Samuel
    Thomas, Pieter
    De Baets, Bernard
    Botteldooren, Dick
    [J]. JOURNAL OF ENVIRONMENTAL MONITORING, 2011, 13 (10): : 2710 - 2719
  • [6] Dekoninck L, 2012, INT C, P394
  • [7] Applicability of a noise-based model to estimate in-traffic exposure to black carbon and particle number concentrations in different cultures
    Dekoninck, Luc
    Botteldooren, Dick
    Panis, Luc Int
    Hankey, Steve
    Jain, Grishma
    Karthik, S.
    Marshall, Julian
    [J]. ENVIRONMENT INTERNATIONAL, 2015, 74 : 89 - 98
  • [8] An instantaneous spatiotemporal model to predict a bicyclist's Black Carbon exposure based on mobile noise measurements
    Dekoninck, Luc
    Botteldooren, Dick
    Int Panis, Luc
    [J]. ATMOSPHERIC ENVIRONMENT, 2013, 79 : 623 - 631
  • [9] On the use of generalized additive models in time-series studies of air pollution and health
    Dominici, F
    McDermott, A
    Zeger, SL
    Samet, JM
    [J]. AMERICAN JOURNAL OF EPIDEMIOLOGY, 2002, 156 (03) : 193 - 203
  • [10] Dons E., 2012, ATMOS ENV, V55