ORBi: Janssens Davy - The presentation of an integrated microsimulation modeling framework to measure and predict emissions and dynamic exposure

Reference : The presentation of an integrated microsimulation modeling framework to measure and pred...


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Civil engineering Business & economic sciences : Special economic topics (health, labor, transportation…)
	To cite this reference:	http://hdl.handle.net/2268/134176

Title :	The presentation of an integrated microsimulation modeling framework to measure and predict emissions and dynamic exposure
Language :	English
Author, co-author :	Janssens, Davy [Universiteit Hasselt - UH > > > >]
	Beckx, C. [Vlaamse Instelling voor Technologisch Onderzoek - VITO > > > >]
	Cools, Mario [Universiteit Hasselt - UH > > > >]
	Wets, Geert [Universiteit Hasselt - UH > > > >]
	Bellemans, Tom [Universiteit Hasselt - UH > > > >]
	Int Panis, L. [Vlaamse Instelling voor Technologisch Onderzoek - VITO > > > >]
	Vanhoof, Koen [Universiteit Hasselt - UH > > > >]
Publication date :	2009
Main document title :	Proceedings of the Next Generation Data Summit 2009
Publisher :	KD2U
On invitation :	No
Audience :	International
City :	Columbia
Country :	MD
Event name :	Next Generation Data Summit 2009
Event date :	01-10-2009 to 03-10-2009
Event organizer :	Society for Knowledge Discovery in Distributed and Ubiquitous Environment (KD2U)
Event place (city) :	Columbia
Event country :	MD
Abstract :	[en] In this paper, an integrated modelling methodology for the assessment of population exposure to air pollution, involving all compartments of the DPSIR-concept, is illustrated by an application in The Netherlands. The application demonstrates the advantages of an activity-based approach by presenting three kinds of applications: the calculation of vehicle emissions, the simulation of pollutant concentration patterns and the assessment of the population exposure to air population. Understanding exposure variations among activities and subpopulations can be very useful for scientific and policy purposes: it can provide information on locations or population groups most at risk, or can indicate where and when the largest exposure values occur.
Target :	Researchers ; Professionals ; Students ; General public ; Others
Permalink :	http://hdl.handle.net/2268/134176

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