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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/13846

Title: Health impact assessment of air pollution using a dynamic exposure profile: Implications for exposure and health impact estimates
Authors: Dhondt, Stijn
Beckx, Carolien
Degraeuwe, Bart
Lefebvre, Wouter
KOCHAN, Bruno
BELLEMANS, Tom
INT PANIS, Luc
Macharis, Cathy
Putman, Koen
Issue Date: 2012
Publisher: ELSEVIER SCIENCE INC
Citation: ENVIRONMENTAL IMPACT ASSESSMENT REVIEW, 36, p. 42-51
Abstract: In both ambient air pollution epidemiology and health impact assessment an accurate assessment of the population exposure is crucial. Although considerable advances have been made in assessing human exposure outdoors, the assessments often do not consider the impact of individual travel behavior on such exposures. Population-based exposures to NO2 and O-3 using only home addresses were compared with models that integrate all time-activity patterns-including time in commute-for Flanders and Brussels. The exposure estimates were used to estimate the air pollution impact on years of life lost due to respiratory mortality. Health impact of NO2 using an exposure that integrates time-activity information was on average 1.2% higher than when assuming that people are always at their home address. For ozone the overall estimated health impact was 0.8% lower. Local differences could be much larger, with estimates that differ up to 12% from the exposure using residential addresses only. Depending on age and gender, deviations from the population average were seen. Our results showed modest differences on a regional level. At the local level, however, time-activity patterns indicated larger differences in exposure and health impact estimates, mainly for people living in more rural areas. These results suggest that for local analyses the dynamic approach can contribute to an improved assessment of the health impact of various types of pollution and to the understanding of exposure differences between population groups. (C) 2012 Elsevier Inc. All rights reserved.
Notes: [Dhondt, Stijn; Putman, Koen] Vrije Univ Brussel, Dept Med Sociol & Hlth Sci, B-1090 Brussels, Belgium. [Beckx, Carolien; Degraeuwe, Bart; Lefebvre, Wouter; Panis, Luc Int] Flemish Inst Technol Res VITO, B-2400 Mol, Belgium. [Kochan, Bruno; Bellemans, Tom; Panis, Luc Int] Hasselt Univ, Transportat Res Inst, B-3590 Diepenbeek, Belgium. [Macharis, Cathy] Vrije Univ Brussel, Dept MOSI Transport & Logist, B-1050 Brussels, Belgium. [Putman, Koen] Vrije Univ Brussel, Interuniv Ctr Hlth Econ Res I CHER, B-1090 Brussels, Belgium. stijn.dhondt@vub.ac.be; Carolien.Beckx@vito.be; Bart.Degraeuwe@vito.be; Wouter.Lefebvre@vito.be; Bruno.Kochan@uhasselt.be; Tom.Bellemans@uhasselt.be; Luc.intpanis@vito.be; cjmachar@vub.ac.be; kputman@vub.ac.be
URI: http://hdl.handle.net/1942/13846
DOI: 10.1016/j.eiar.2012.03.004
ISI #: 000305722800005
ISSN: 0195-9255
Category: A1
Type: Journal Contribution
Validation: ecoom, 2013
Appears in Collections: Research publications

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