Linking an activity-based travel demand model with traffic emission and dispersion models: Transport’s contribution to air pollution in Toronto |
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| Authors: | M Hatzopoulou EJ Miller |
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| Institution: | 1. Department of Civil Engineering, University of Toronto, Toronto, ON M5S 1A4, Canada;2. Department of Civil Engineering, University of Toronto, Toronto, ON M5S 2G8, Canada;1. Transportation Research and Analysis Computing Center, Argonne National Laboratory, 9700 S. Cass Ave., Argonne, IL 60439, United States;2. HERE, 425 W Randolph St., Chicago, IL 60606, United States;3. Transportation Department of Civil and Environmental Engineering, Michigan Technological University, Dillman Hall 301i, 1400 Townsend Drive, Houghton, MI 49931, United States;1. School of Sustainable Engineering and the Built Environment, Arizona State University, USA;2. Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;3. Department of Civil and Environmental Engineering, University of Utah, USA;4. Institute for Transportation Research and Education (ITRE), Department of Civil, Construction and Environmental Engineering, North Carolina State University, USA;1. Air Health Science Division, Health Canada, Ottawa, Canada;2. School of Urban Planning, McGill University, Montreal, Canada;3. Department of Civil Engineering, McGill University, Montreal, Canada;1. Institute for Computer Science and Control, Hungarian Academy of Sciences, Kende utca 13-17, H-1111 Budapest, Hungary;2. Budapest University of Technology and Economics, Department of Control for Transportation and Vehicle Systems, Stoczek utca 2., H-1111 Budapest, Hungary |
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| Abstract: | This paper describes the development of an integrated approach for assessing ambient air quality and population exposure as a result of road passenger transportation in large urban areas. A microsimulation activity-based travel demand model for the Greater Toronto Area – the Travel Activity Scheduler for Household Agents – is extended with capabilities for modelling and mapping of traffic emissions and atmospheric dispersion. Hourly link-based emissions and zone-based soak emissions were estimated. In addition, hourly roadway emissions were dispersed at a high spatial resolution and the resulting ambient air concentrations were linked with individual time-activity patterns derived from the model to assess person-level daily exposure. The method results in an explicit representation of the temporal and spatial variation in emissions, ambient air quality, and population exposure. |
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