Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/14307
Title: Integration of population mobility in the evaluation of air quality measures on local and regional scales
Authors: Dhondt, S.
BECKX, Carolien 
Degraeuwe, B.
Lefebvre, W.
KOCHAN, Bruno 
BELLEMANS, Tom 
INT PANIS, Luc 
Macharis, C.
Putman, K.
Issue Date: 2012
Publisher: PERGAMON-ELSEVIER SCIENCE LTD
Source: ATMOSPHERIC ENVIRONMENT, 59, p. 67-74
Abstract: By focussing on air pollutant concentration levels only, the variation in population mobility is not taken into account when assessing the exposure. Transportation policies have an impact on both concentration levels and mobility patterns. The impact of a fuel price increase policy on population exposure to elemental carbon (EC) was evaluated and compared to the base scenario (current situation), taking into account time-activity patterns - including time in commute. We assessed the effect on exposure of both the change in concentrations and whereabouts. The decrease in exposure due to the fuel price increase using residential information only was limited to areas near highways and urban centres. Integrating population movement, exposures to EC were higher and the decrease in exposure was no longer limited to areas near traffic hotspots. For inhabitants of urban areas, the exposure integrating time-activity patterns was more similar to the residential exposure, as they spent more time in their own neighbourhood. For people living further away from traffic hotspots, the estimated impact of the policy was higher than expected for residential exposure. These people profited both from the higher decrease in concentrations at their work/shop/leisure destinations in more urban areas and, as they have to travel longer, also had a larger gain from the high decrease in concentrations during transport. Therefore, the impact of changing concentrations is underestimated when using residential exposure only. These results show the importance of taking into activity-travel patterns when planning future actions. (C) 2012 Elsevier Ltd. All rights reserved.
Notes: [Dhondt, S.; Putman, K.] Vrije Univ Brussel, Dept Med Sociol & Hlth Sci, B-1090 Brussels, Belgium. [Beckx, C.; Degraeuwe, B.; Lefebvre, W.; Panis, L. Int] Flemish Inst Technol Res VITO, B-2400 Mol, Belgium. [Kochan, B.; Bellemans, T.; Panis, L. Int] Hasselt Univ, Transportat Res Inst, B-3590 Diepenbeek, Belgium. [Macharis, C.] Vrije Univ Brussel, Dept MOSI Transport & Logist, B-1050 Brussels, Belgium. [Putman, K.] Vrije Univ Brussel, I CHER, 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
Keywords: Environmental Sciences; Meteorology & Atmospheric Sciences; elemental carbon; time-activity; exposure modelling; scenario analysis; traffic;Elemental carbon; Time-activity; Exposure modelling; Scenario analysis; Traffic
Document URI: http://hdl.handle.net/1942/14307
ISSN: 1352-2310
e-ISSN: 1873-2844
DOI: 10.1016/j.atmosenv.2012.04.055
ISI #: 000309081100008
Category: A1
Type: Journal Contribution
Validations: ecoom 2013
Appears in Collections:Research publications

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