Abstract
This paper establishes a link between an activity-based model for the Greater Toronto Area (GTA), dynamic traffic assignment, emission modelling, and air quality simulation. This provides agent-based output that allows vehicle emissions to be tracked back to individuals and households who are producing them. In addition, roadway emissions are dispersed and the resulting ambient air concentrations are linked with individual time-activity patterns in order to assess population exposure to air pollution. This framework is applied to evaluate the effects of a range of policy interventions and 2031 scenarios on the generation of vehicle emissions and greenhouse gases in the GTA. Results show that the predicted increase of approximately 2.6 million people and 1.3 million jobs in the region by 2031 compared to 2001 levels poses a major challenge in achieving meaningful reductions in GHGs and air pollution.
Similar content being viewed by others
References
Balmer, M.: Travel demand modeling for multi-agent transport simulations: algorithms and systems. Ph.D. Dissertation, ETH Zurich, Switzerland (2007)
Beckx, C., Panis, L.I., Van De Vel, K., Arentze, T., Lefebvre, W., Janssens, D., Wets, G.: The contribution of activity-based transport models to air quality modelling: a validation of the ALBATROSS–AURORA model chain. Sci. Total Environ. 407, 3814–3822 (2009)
Borrego, C., Tchepel, O., Costa, A.M., Amorim, J.H., Miranda, A.I.: Emission and dispersion modelling of Lisbon air quality at local scale. Atmos. Environ. 37, 5197–5205 (2003)
Buliung, R.N., Hatzopoulou, M., Roorda, M.: Plugging the “environment” into integrated urban models: recent progress and research direction. Presented at the 41st annual conference of the Canadian Transportation Research Forum (CTRF), Quebec City (2006)
Colvile, R.N., Kaur, S., Britter, R., Robins, A., Bell, M.C., Shallcross, D., Belcher, S.E.: Sustainable development of urban transport systems and human exposure to air pollution. Sci. Total Environ. 334–335, 481–487 (2004)
EC (Environment Canada): 2006 Air pollutant emissions for Canada (Tonnes). http://www.ec.gc.ca/pdb/cac/Emissions1990/2015/2006/2006_canada_e.cfm (2008a). Accessed 8 April 2008
EC (Environment Canada): Canada’s 2006 greenhouse gas inventory. http://www.ec.gc.ca/pdb/ghg/inventory_report/2006/tab_eng.cfm (2008b). Accessed 9 June 2008
Grell, G.A., Dudhia, J., Stauffer, D.R.: A description of the Fifth-Generation Penn State/NCAR Mesoscale Model (MM5). NCAR Technical Note TN-398+STR, National Center for Atmospheric Research, Boulder, Colorado (1994)
Hao, J.Y., Hatzopoulou, M., Miller, E.J.: Integrating an activity-based travel demand model with dynamic traffic assignment and emission models: an implementation in the Greater Toronto Area. Transp. Res. Rec. 2176, 1–13 (2010)
Hatzopoulou, M., Miller, E.J.: Linking an activity-based travel demand model with traffic emission and dispersion models: transport’s contribution to air pollution in Toronto. Transp. Res. D 15(6), 315–325 (2010)
Hatzopoulou, M., Miller, E.J., Santos, B.: Integrating vehicle emission modelling with activity-based travel demand modelling: a case study of the Greater Toronto Area (GTA). Transp. Res. Rec. 2011, 29–39 (2007)
ICF International: Greenhouse Gases and Air Pollutants in the City of Toronto: Towards a Harmonized Strategy for Reducing Emissions. Toronto Atmospheric Fund, Toronto Environment Office, Toronto, Canada (2007)
Kanaroglou, P.S., Potoglou, D., Benoit, C.: A Dispersion Policy Sensitive Modelling System for Predicting Vehicular Carbon Monoxide Concentrations in Urban Areas. Center for Spatial Analysis, Working Paper Series, CSpA013, Hamilton (2006)
Karppinen, A., Kukkonen, J., Elolahde, T., Konttinen, M., Koskentalo, T., Rantakrans, E.: A modelling system for predicting urban air pollution: model description and applications in the Helsinki metropolitan area. Atmos. Environ. 34, 3723–3733 (2000)
Kitamura, R., Fujii, S., Kikuchi, A., Yamamoto, T.: An application of a micro-simulator of daily travel and dynamic network flow to evaluate the effectiveness of selected TDM measures for CO2 emissions reduction. In: Proceedings of the 77th Annual Meeting of the Transportation Research Board, Washington, DC, Jan 1998
Kitamura, R., Pas, E.I., Lula, C.V., Lawton, K.T., Benson, P.E.: The Sequenced Activity Mobility Simulator (SAMS): an integrated approach to modeling transportation, land-use and air quality. Transportation 23, 267–291 (1996)
Klausmann, A.M., Scire, J.S.: Application of the CALMET meteorological model to wind resource assessment and forecasting. In: Proceedings of the Wind Power 2005 Conference, Denver, Colorado (2005)
Lautso, K., Spiekermann, K., Wegener, M., Sheppard, I., Steadman, P., Martino, A., Domingo, R., Gayda, S.: PROPOLIS: Planning and Research of Policies for Land-use and Transport for Increasing Urban Sustainability. Final Report 2nd ed. http://www.wspgroup.fi/lt/Propolis/PROPOLIS_Abstract_Summary.pdf (2004)
Lautso, K., Toivanen, S.: SPARTACUS system for analyzing urban sustainability. Transp. Res. Rec. 1670, 35–46 (1999)
MBRC (Mark Bradley Research and Consulting), Bowman, J.A.: System of Activity-Based Models for Portland, Oregon. Report FHWA-PD-99-003, US Department of Transportation (1998)
Miller, E.J., Roorda, M.J.: A prototype model of 24-hour household activity scheduling for the Toronto area. Transp. Res. Rec. 1831, 114–121 (2003)
Mitchell, G., Namdeo, A., Milne, D.: The air quality impact of cordon and distance based road user charging: an empirical study of leeds, UK. Atmos. Environ. 39, 6213–6242 (2005)
Roorda, M.J., Miller, E.J., Habib, K.M.N.: Validation of TASHA: a 24-hour activity scheduling microsimulation model. In: Proceedings of the 86th Annual Meeting of the Transportation Research Board, Washington, DC, Jan 2007
Scire, J., Strimaitis, D.G., Yamartino, R.J.: A User’s Guide for the CALPUFF Dispersion Model (Version 5). Earth Tech Inc., Concord (2000a)
Scire, J., Robe, F.R., Fernau, M.E., Yamartino, R.J.: A User’s Guide for the CALMET Meteorological Model (Version 5). Earth Tech Inc., Concord (2000b)
Shiftan, Y., Suhrbier, J.: The analysis of travel and emission impacts of travel demand management strategies using activity-based models. Transportation 29, 145–168 (2002)
Sokhi, R.S., Mao, H., Srimath, S.T.G., Fan, S., Kitwiroon, N., Luhana, L., Kukkonen, J., Haakana, M., Karppinen, A., van den Hout, K.D., Boulter, P., McCrae, I.S., Larssen, S., Gjerstad, K.I., San Jose, R., Bartzis, J., Neofytou, P., van den Breemer, P., Neville, S., Kousa, A., Cortes, B.M., Myrtveit, I.: An integrated multi-model approach for air quality assessment: development and evaluation of the OSCAR air quality assessment system. Environ. Model. Softw. 23, 268–281 (2008)
Toronto Public Health: Air Pollution Burden of Illness from Traffic in Toronto: Problems and Solutions. Toronto Public Health, Toronto (2007)
USEPA (United States Environmental Protection Agency): User’s Guide to Mobile 6.1 and Mobile 6.2: Mobile Source Emission Factor Model. EPA420-R-03-010. Assessment and Standards Division, Office of Transportation and Air Quality, Washington, DC (2003)
Acknowledgments
This research was funded by a Transport Canada TPMI grant, as well as by contributions from the Ontario Ministries of Transportation and Public Infrastructure Renewal and the City of Toronto. This research was conducted while the first author was a post-doctoral fellow at the University of Toronto.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Hatzopoulou, M., Hao, J.Y. & Miller, E.J. Simulating the impacts of household travel on greenhouse gas emissions, urban air quality, and population exposure. Transportation 38, 871–887 (2011). https://doi.org/10.1007/s11116-011-9362-9
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11116-011-9362-9