Presentation and evaluation of an integrated model chain to respond to traffic- and health-related policy questions

There is often a large discrepancy between the questions raised by policy makers and the responses offered by scientists. Current modeling approaches do not answer some of the typical questions that decision-makers face, as they do not provide solutions to policy-makers dealing with concrete political negotiation and decisions. In this paper, we try to bridge the gap by creating an integrated model chain that can respond to such concrete policy questions. The paper describes a model chain consisting of an activity-based transport model, a road traffic emission model, a bi-gaussian atmospheric dispersion model and a concentration measurement interpolation model. Subsequently results are compared to observations, in order to test its usability for simulating air quality and assessing dynamic exposure. The model is shown to represent the main cycles governing air quality, such as the intra-daily, the intra-weekly and the intra-annual cycle. Finally, this paper provides an example of the use of such a model chain by assessing the impact of different trip motives on the intra-daily NO"2 cycle.

[1]  Wilfred W. Recker,et al.  Development of a microscopic activity-based framework for analyzing the potential impacts of transportation control measures on vehicle emissions , 1999 .

[2]  Clemens Mensink,et al.  Spatial interpolation of air pollution measurements using CORINE land cover data , 2008 .

[3]  Yoram Shiftan,et al.  The analysis of travel and emission impacts of travel demand management strategies using activity-based models , 2002 .

[4]  Ta Theo Arentze,et al.  Reinduction of Albatross Decision Rules with Pooled Activity-Travel Diary Data and an Extended Set of Land Use and Cost-Related Condition States , 2003 .

[5]  Ina De Vlieger,et al.  Costs and benefits of an enhanced reduction policy of particulate matter exhaust emissions from road traffic in Flanders , 2006 .

[6]  Hjp Harry Timmermans,et al.  A learning-based transportation oriented simulation system , 2004 .

[7]  E. Miller,et al.  Linking an activity-based travel demand model with traffic emission and dispersion models: Transport’s contribution to air pollution in Toronto , 2010 .

[8]  Stefan Adriaensen,et al.  Simulating the impact of urban sprawl on air quality and population exposure in the German Ruhr area. Part II: Development and evaluation of an urban growth scenario , 2008 .

[9]  H. R. Olesen The model validation exercise at Mol: overview of results , 2014 .

[10]  Davy Janssens,et al.  An Integrated Activity-Based Modelling Framework to Assess Vehicle Emissions: Approach and Application , 2009 .

[11]  M. Brauer,et al.  The impact of daily mobility on exposure to traffic-related air pollution and health effect estimates , 2011, Journal of Exposure Science and Environmental Epidemiology.

[12]  Eric J. Miller,et al.  Simulating the impacts of household travel on greenhouse gas emissions, urban air quality, and population exposure , 2011 .

[13]  Stefan Adriaensen,et al.  Simulating the impact of urban sprawl on air quality and population exposure in the German Ruhr area. Part I: Reproducing the base state , 2008 .

[14]  Silvia Curteanu,et al.  Ten steps modeling of electrolysis processes by using neural networks , 2010, Environ. Model. Softw..

[15]  J. Stockman,et al.  Fine-Particulate Air Pollution and Life Expectancy in the United States , 2010 .

[16]  Davy Janssens,et al.  Validation of an Activity-Based Traffic Demand Model for Flanders Implemented in the FEATHERS Simulation Platform , 2013 .

[17]  Ana Isabel Miranda,et al.  Traffic-related particulate air pollution exposure in urban areas , 2006 .

[18]  Luc Int Panis,et al.  Impact of time–activity patterns on personal exposure to black carbon , 2011 .

[19]  Steven Broekx,et al.  Modelling instantaneous traffic emission and the influence of traffic speed limits. , 2006, The Science of the total environment.

[20]  Guido Cosemans,et al.  From traffic flow simulations to pollutant concentrations in street canyons and backyards , 2008, Environ. Model. Softw..

[21]  Osasun Saila,et al.  HEALTH IMPACT ASSESSMENT OF AIR POLLUTION , 2005 .

[22]  G. Cosemans,et al.  Large Scale Validation of a Bi-Gaussian Dispersion Model in a Multiple Source Urban and Industrial Area , 1983 .

[23]  M. Schaap,et al.  Impact of the extreme meteorological conditions during the summer 2003 in Europe on particulate matter concentrations , 2012 .

[24]  B. Brunekreef,et al.  Effects of long-term exposure to traffic-related air pollution on respiratory and cardiovascular mortality in the Netherlands: the NLCS-AIR study. , 2009, Research report.

[25]  Luc Int Panis,et al.  Integration of population mobility in the evaluation of air quality measures on local and regional scales , 2012 .

[26]  K Simms MODELLING TRAFFIC POLLUTION , 1991 .

[27]  Luc Int Panis,et al.  USING AN ACTIVITY-BASED FRAMEWORK TO DETERMINE THE EFFECTS OF A 1 POLICY MEASURE ON POPULATION EXPOSURE TO NO2 2 3 Evi Dons * (corresponding author) 4 , 2011 .

[28]  Eric J. Miller,et al.  Integrating an Activity-Based Travel Demand Model with Dynamic Traffic Assignment and Emission Models , 2010 .

[29]  David P. Hamilton,et al.  Ten steps applied to development and evaluation of process-based biogeochemical models of estuaries , 2008, Environ. Model. Softw..

[30]  Davy Janssens,et al.  Implementation Framework and Development Trajectory of FEATHERS Activity-Based Simulation Platform , 2010 .

[31]  Elizabeth Deakin,et al.  Inhalation intake of ambient air pollution in California's South Coast Air Basin , 2006 .

[32]  Luc Int Panis,et al.  Disaggregation of nation-wide dynamic population exposure estimates in The Netherlands: Applications of activity-based transport models , 2009 .

[33]  Clemens Mensink,et al.  Spatial interpolation of ambient ozone concentrations from sparse monitoring points in Belgium. , 2006, Journal of environmental monitoring : JEM.

[34]  Wendy D. Welsh Water balance modelling in Bowen, Queensland, and the ten iterative steps in model development and evaluation , 2008, Environ. Model. Softw..

[35]  Anthony J. Jakeman,et al.  Ten iterative steps in development and evaluation of environmental models , 2006, Environ. Model. Softw..

[36]  Clemens Mensink,et al.  Modeling the effects of a speed limit reduction on traffic-related elemental carbon (EC) concentrations and population exposure to EC , 2011 .

[37]  Clemens Mensink,et al.  An urban transport emission model for the Antwerp area , 2000 .

[38]  Davy Janssens,et al.  A dynamic activity-based population modelling approach to evaluate exposure to air pollution: Methods and application to a Dutch urban area , 2009 .

[39]  A. Andrias COPERT : Computer program to calculate emissions from road traffic : user's manual , 1993 .

[40]  Bert Blocken,et al.  Ten iterative steps for model development and evaluation applied to Computational Fluid Dynamics for Environmental Fluid Mechanics , 2012, Environ. Model. Softw..

[41]  Yoram Shiftan,et al.  The Advantage of Activity-based Modelling for Air-quality Purposes: Theory vs Practice and Future Needs , 2000 .

[42]  Guido Cosemans,et al.  Validation of the MIMOSA-AURORA-IFDM model chain for policy support: Modeling concentrations of elemental carbon in Flanders , 2011 .