作者: S. Dhondt , C. Beckx , B. Degraeuwe , W. Lefebvre , B. Kochan
DOI: 10.1016/J.ATMOSENV.2012.04.055
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摘要: Abstract By focussing on air pollutant concentration levels only, the variation in population mobility is not taken into account when assessing exposure. Transportation policies have an impact both and patterns. The of a fuel price increase policy exposure to elemental carbon (EC) was evaluated compared base scenario (current situation), taking time-activity patterns – including time commute. We assessed effect change concentrations whereabouts. decrease due using residential information only limited areas near highways urban centres. Integrating movement, exposures EC were higher no longer traffic hotspots. For inhabitants areas, integrating more similar exposure, as they spent their own neighbourhood. people living further away from hotspots, estimated than expected for These profited at work/shop/leisure destinations and, travel longer, also had larger gain high during transport. Therefore, changing underestimated only. results show importance activity-travel planning future actions.