Professor Marianne Hatzopoulou

Canada Research Chair in Transportation and Air Quality

Transportation Engineering Research Group
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Marianne Hatzopoulou1

Contact me

Marianne Hatzopoulou
Department of Civil Engineering
University of Toronto
Galbraith Building, Room 305F
35 St. George St. Toronto, Ontario M5S 1A4
Tel.: 416-978-0864
marianne.hatzopoulou@utoronto.ca

Education

BSc (Physics, American University of Beirut, 1999)
MSc (Envtal Technology, Civil Eng., American University of Beirut, 2001)
PhD (Transportation Engineering, Civil Eng., University of Toronto, 2008)
Postdoctoral training (University of Toronto, 2009)
Postdoctoral training (Massachusetts Institute of Technology, 2010)

Research Interests

My research area bridges between transportation and environmental analysis; and my main expertise is in modelling of road transport emissions and urban air quality as well as evaluating population exposure to air pollution. I am interested in capturing the interactions between the daily activities and travel patterns of urban dwellers and the generation and dispersion of traffic emissions in urban environments. I lead an active research group focusing on modelling traffic emissions and near-road air quality as well as near-road air pollution monitoring and characterization.

Research Group

Current students and post-docs

  1. Junshi Xu, PhD
  2. Laura Minet, PhD
  3. An Wang, PhD
  4. Ran Tu, PhD
  5. Kenan Al Rijleh, PhD
  6. Chris Stogios, MASc
  7. Yijun Gai, MASc
  8. Kristiana Dean, MEng   
  9. Maryam Shekarrizfard, Post-doc
  10.  Masoud Fallah-Shorshani, Post-doc 
  11. Arman Ganji, Research Associate

Past graduate students

  1. Maryam Shekarrizfard, PhD
  2. Ahsan Alam, PhD
  3. Junshi Xu, MASc
  4. Laura Minet, MASc
  5. An Wang, MASc
  6. Alex Lee, MASc
  7. Laure Deville-Cavellin, MASc
  8. Amin Sazavar, MASc
  9. Golnaz Ghafghazi, MASc
  10. William Farrell, MASc
  11. Timothy Sider, MASc
  12. Mehnaz Farhad, MEng
  13. Jonathan Stokes, MEng
  14. Abena Addo, MEng
  15. Kenaan Alrijleh, MEng
  16. Mohammad Khan, MEng 

Past undergraduate trainees

 

Selected theses

Harnessing the potential of AVL and APC data to simulate the GHG emissions of an interregional bus route in Toronto, Canada

In this study, we made use of automated vehicle location (AVL) and automated passenger counter (APC) data to simulate the greenhouse gas (GHG) emissions of an interregional bus route in Toronto, Canada. We analyzed the bus performance and emissions as well as quantified emissions under the effects of operational improvements (increasing speed and reducing idling) and different fuels (conventional diesel, compressed natural gas, and biodiesel). Average total trip emissions were 54 kg/bus, with emissions higher in the morning than in the afternoon peak period. Emission rates on the highway portion of the corridor were lower than emission rates for the arterial portions with mean values of 1627 g/km and 1993 g/km respectively. We observe that the addition of each passenger influences per-passenger bus emissions differently; when the bus is less crowded each additional passenger can decrease per-passenger emissions by 7% whereas the reduction becomes 1.3% when the bus is crowded. Finally, we estimated that operational improvements could reduce emissions by 22%, while switching to compressed natural gas (CNG) without speed improvements can reduce emissions by 6%. The effects of emission reduction strategies are highly dependent on the characteristics of the bus and drive-cycle. These results are useful to transit planners in the selection of appropriate GHG reduction strategies as well as in the selection of candidate corridors (highway versus arterial routes) for fleet renewal.

Modelling the Spatio-Temporal Distribution of Ambient Nitrogen Dioxide and Investigating the Effects of Public Transit Investments on Urban Air Quality

Estimating the future state of air quality associated with transport policies and infrastructure investments is key to the development of meaningful transportation and planning decisions. This study describes the design of an integrated transportation and air quality modelling framework capable of simulating traffic emissions and air pollution at a refined spatio-temporal scale. For this purpose, emissions of Nitrogen Oxides (NOx) were estimated in the Greater Montreal Region at the level of individual trips and vehicles. In turn, hourly Nitrogen Dioxide (NO2) concentrations were simulated across different seasons and validated against observations. Our validation results reveal a reasonable performance of the modelling chain. The modelling system was used to evaluate the impact of an extensive regional transit improvement strategy revealing reductions in NO2 concentrations across the territory by about 3.6% compared to the base case in addition to a decrease in the frequency and severity of NO2 hot spots. This is associated with a reduction in total NOx emissions of 1.9% compared to the base case; some roads experienced reductions by more than half. Finally, a methodology for assessing individuals’ daily exposure is developed (by tracking activity locations and trajectories) and we observed a reduction of 20.8% in daily exposures compared to the base case. The large difference between reductions in the mean NO2 concentration across the study domain and the mean NO2 exposure across the sample population results from the fact that NO2 concentrations dropped largely in the areas which attract the most individuals. This exercise illustrates that evaluating the air quality impacts of transportation scenarios by solely quantifying reductions in air pollution concentrations across the study domain would lead to an underestimation of the potential health gains.

Understanding the effects of the urban environment on cyclist exposure to near-roadway air pollution

This thesis seeks to understand how the built environment and surrounding land use affect variations in near-roadway air pollution. In particular, two air pollutants are investigated: ultrafine particles (UFP) and black carbon (BC). Specifically, the study explores this question in the context of urban cycling. That is, how do factors such as traffic, buildings, and cycling infrastructure affect the concentration of air pollution to which cyclists are exposed?These answers are sought by way of a large-scale environmental monitoring campaign on the Island of Montreal during the summer of 2012. The campaign is comprised of two components: a mobile measurement portion whereby bicycles equipped with air pollution monitoring equipment cycle across roughly 500 km of unique roadway collecting UFP and BC concentrations, paired with global positioning system (GPS) data which allowed air pollution levels to be associated with the street on which they were collected—and a fixed site monitoring portion whereby research assistants measured pollution and counted traffic volumes and composition for set intervals of time at 73 locations. The overarching objective was to explain the variations in air pollution concentration by meteorological and built environment data, using land-use regression (LUR) analysis techniques. The mobile analysis relies primarily on geographic information systems (GIS) based land-use data while the fixed site analysis relies primarily on field measurements.Several investigations follow from this general data collection campaign. From the fixed site data a LUR model is developed based on meteorological factors, vehicular volumes and compositions, and built environment characteristics of the roadway corridor. These data also form the basis of a secondary investigation which explains the differences in UFP levels on opposite sides of the same street using wind, urban canyon, and traffic characteristics. Notable findings include support for some meteorological and urban canyon effects on air pollution, the relevance of both vehicular volumes as well as the truck component thereof.Two investigations arise from the mobile data collection campaign. The first attempts to explain the variations in air pollution using meteorological, land-use, and roadway characteristics, including results from a mesoscopic traffic simulation. The second seeks to understand how the nature of cycling infrastructure and cycling network design affect cyclists’ exposure to pollution. In addition to the effects captured in the fixed site analysis, relevant observations include the strong effects of nearby highways, especially for BC, and nearby restaurants, especially for UFP. The latter investigation from the mobile campaign shows that cycling facilities along major roads tend to have higher levels of pollution, however separated cycling infrastructure did reduce exposure to BC, perhaps owing in part from their greater distance from the street centerline. However the strongest reductions in air pollution were observed on multi-use trails, which typically run through parks and are located at substantial distances from the street.Together, these investigations use a novel methodological framework to unravel the interactions between cycling, the built environment, land use, traffic, and air pollution.

Development of an integrated transport and emissions model and applications for population exposure and environmental justice

Road transport has a tremendous impact on local urban regions as well as global planetary health. This impact is especially great given the large quantities of greenhouse gases and local air pollutants released across the world, quantities that continue to increase. For metropolitan regions, reductions in traffic-related air pollution are paramount. Which baseline is used and which strategies should be implemented are both vital questions in this regard. Integrated transport and emissions models are important tools that aid metropolitan planners in answering those questions. A regional traffic assignment model has been connected to a detailed emission processor for the Montreal metropolitan region. The road transport model contains details on all private driving trips across a standard 24-hr workday, including congested link speeds and stochastic path distributions. Meanwhile, the emissions processor incorporates local vehicle registry data and Montreal-specific ambient conditions in the estimation of both running and start emissions. Outputs include hourly link-level and trip-level emissions for greenhouse gases, hydrocarbons, and nitrogen oxides. Three research studies were then explored that were anchored by the integrated transport and emissions model. The first involved testing model sensitivity to variations in input data and randomness. The second study was aimed at understanding the land-use and socioeconomic determinants of traffic-related air pollution generation and exposure. The third study encompassed an equity analysis of social disadvantage, traffic-related air pollution generation and exposure. Major findings include evidence that: start emissions and accurate vehicle registry data have the biggest impact on accurate regional emission inventories; neighbourhoods closer to downtown tend to be low emitters while having high exposures to traffic-related air pollution, while the opposite is true for neighbourhoods in the suburbs and periphery of the region; and marginalized neighbourhoods with high social disadvantage tend to have the highest exposure levels in the region, while at the same time generating some of the lowest quantities of traffic-related air pollution. These findings support the claim that traffic is creating environmental justice issues at the metropolitan level.

Investigating the effects of traffic calming on near-road air quality using traffic, emissions, and air dispersion modelling

This thesis focuses on the development of a microscopic traffic simulation, emission and dispersion modeling system which aims at quantifying the effects of different types of traffic calming measures on vehicle emissions both at a link-level and at a network-level and on air quality at a corridor level using a scenario analysis. The study area is set in Montréal, Canada where a traffic simulation model for a dense urban neighborhood is extended with capabilities for microscopic emission estimation and dispersion modeling. The results indicate that on average, isolated calming measures increase carbon dioxide (CO2), carbon monoxide (CO) and nitrogen oxide (NOx) emissions by 1.50%, 0.33% and 1.45%, respectively across the entire network. Area-wide schemes result in a percentage increase of 3.84% for CO2, 1.22% for CO, and 2.18% for NOx. Along specific corridors where traffic calming measures were simulated, increases in CO2 emissions of up to 83% are observed. These increases are mainly associated with a change in vehicle drive-cycles through increased accelerations and decelerations. The results for air quality modeling suggest on average NO2 levels increase between 0.1% and 10% with respect to the base case. A high positive correlation of 0.7 between segment emissions of NOx and concentrations of NO2 is observed. Also, the effects of wind speed and direction are investigated in this thesis. The results show that higher wind speeds decrease NO2 concentrations on both sides of the roadway while winds orthogonal to the road increase the difference between concentrations on the leeward and windward sides with the leeward side experiencing higher levels. The effect of different measures on traffic volumes is also investigated and moderate decreases in areas that have undergone traffic calming are observed. Finally, the results show that speed bumps result in higher emission levels and poorer near-roadway air quality than speed humps.

Integrating a Street-Canyon Model with a Regional Gaussian Dispersion Model for Improved Characterization of Near-Road Air Pollution

In this paper, an integrated modelling chain was developed to simulate ambient Nitrogen Dioxide (NO2) in a dense urban neighborhood while taking into account traffic emissions, the regional background, and the transport of pollutants within the urban canopy. For this purpose, we developed a hybrid configuration including 1) a street canyon model which simulates pollutant transfer along streets and intersections, taking into account the geometry of buildings and other obstacles, and 2) a Gaussian puff model which resolves the transport of contaminants at the top of the urban canopy and accounts for regional meteorology. Each dispersion model was validated against measured concentrations and compared against the hybrid configuration. Our results demonstrate that the hybrid approach significantly improves the output of each model on its own.  An underestimation appears clearly for the Gaussian model and street-canyon model compared to observed data. This is due to ignoring the building effect by the Gaussian model and undermining the contribution of other roads by the canyon model. The hybrid approach reduced the RMSE by 16% to 25% compared to each model on its own, and increased FAC2 (fraction of predictions within a factor of two of the observations) by 10% to 34%.

Characterizing near-road air pollution using local scale emission and dispersion models and validation against in-situ measurements

Near-road concentrations of nitrogen dioxide (NO2), a known marker of traffic-related air pollution, were simulated along a busy urban corridor in Montreal, Quebec using a combination of microscopic traffic simulation, instantaneous emission modeling, and air pollution dispersion. In order to calibrate and validate the model, measurements of NO2 were conducted mid-block along four segments of the corridor. The four segments were chosen to be consecutive and yet exhibiting variability in road configuration and built environment characteristics. Roadside NO2 measurements were also paired with on-site meteorological data collected using a portable meteorological station. In addition, traffic volumes, composition, and routing decisions were collected using video-cameras located at upstream and downstream intersections. Dispersion of simulated emissions was conducted for eight time slots and under a range of meteorological conditions using three different models with vastly different dispersion algorithms (OSPM, CALINE 4, and SIRANE). While the use of OSPM and SIRANE led to simulated NO2 concentrations closer to measured concentrations on road segments with buildings on both sides, CALINE 4 led to a better match with measured data when the built environment involves open terrain.

Investigating the use of portable air pollution sensors to capture the spatial variability of urban air pollution

This thesis aims at developing air pollution exposure surfaces for nitrogen dioxide (NO2) and ozone (O3) in Montreal, Canada, using land use regression techniques, and thus capturing the effects of the built environment, traffic, and meteorology on the spatial variability of these two pollutants. Another objective of this work is to assess the potential of new handheld air quality sensors at capturing near-road air quality. To reach these objectives, we ran a data collection campaign on the island of Montreal, spanning 3 seasons (spring, summer and fall) in 2014. In total, 76 sites were identified and which represent the range of land-use and built environment characteristics in Montreal. Each site was visited at least 6 times throughout the campaign whereby measurements occurred for 30 minutes (per visit) with two O3 and two NO2 monitors. We also collected variables related to traffic and street characteristics on-site to assess their relationship with air pollution, and gathered a set of land-use and built environment characteristics at several buffer sizes around the sites (50, 100, 200, 300, 500, 750, 1000 m) using geographical information systems (GIS). The land use regression models we developed achieved R2 values of 0.86 for NO2 and 0.92 for O3, when corrected for regional meteorology. Based on the coefficients of the NO2 and O3 models, we developed an exposure surface for each pollutant by applying the model in areas where air pollution data were not available. Our NO2 surface is strongly correlated with older surfaces previously developed for Montreal, indicating that the spatial variability of air pollution has remained stable. Our O3 model is to our knowledge the first of its kind and for this reason cannot be compared with previous results. The relationship between NO2 and O3 in our models, confirms our theoretical understanding of the behaviour of these pollutants. The exposure we generated in this study can be used for epidemiological studies in evaluating the associations between traffic related air pollution and health.

 

Publications

Refereed journal publications

  1. Louis-François, T., N. Eluru, M. Hatzopoulou, P. Morency, C. Plante, C. Morency, Reynaud, M. Shekarrizfard, Y. Shamsunnahar, A. Faghih Imani, L. Drouin, A. Pelletier, S. Goudreau, F. Tessier, L. Gauvin, A. Smargiassi. 2018. Estimating the health benefits of planned public transit investments. Environmental Research, 160: 412-419.
  2. Anowar, S., Eluru, M. Hatzopoulou. 2017. Quantifying the value of a clean ride: How far would you bicycle to avoid exposure to traffic-related air pollution? Transportation Research Part A, 105: 66-78.
  3. Minet, L., R. Gehr, M. Hatzopoulou. 2017. Capturing the sensitivity of land-use regression models to short-term mobile monitoring campaigns using air pollution micro-sensors. Environmental Pollution, 230: 280-290.
  4. Goldberg, M.S., F. Labreche, S. Weichenthal, E. Lavigne, M.F. Valois, M. Hatzopoulou, K. Van Ryswyck, Shekarrizfard, P.J. Villeneuve, D. Crouse, M.E., Parent. 2017. The association between the incidence of postmenopausal breast cancer and concentrations at street-level of nitrogen dioxide and ultrafine particles. Environmental Research, 5 (158): 7-15.
  5. Fallah-Shorshani, M., Shekarrizfard, M. Hatzopoulou. Evaluation of regional and local atmospheric dispersion models for the analysis of traffic-related air pollution in urban areas. Accepted. Atmospheric Environment, 167: 270-282.
  6. Alam, A., M. M. Hatzopoulou. 2017. Modeling transit bus emissions using MOVES: Validation of default distributions and embedded drive cycles with local data. ASCE Journal of Transportation Engineering, Part A: Systems, 143 (10): 04017049 1-9.
  7. Harik G., M. El-Fadel, A. Shihadeh, I. Alameddine, M. Hatzopoulou. 2017. Is in-cabin exposure to carbon monoxide and fine particulate matter amplified by the vehicle’s self-pollution potential? Quantifying the rate of exhaust intrusion. Transportation Research Part D, 54: 225-238.
  8. Weichenthal, S., L. Bai, M. Hatzopoulou, K. Van Ryswyk, J.C. Kwong, M. Jerrett, A. van Donkelaar, R.V. Martin, R.T. Burnett, H. Lu, H. Chen. 2017. Long-term exposure to ambient ultrafine particles and respiratory disease incidence in Toronto, Canada: A cohort study. Environmental Health, 16:64.
  9. Weichenthal, S., E, Lavigne, F Valois, M. Hatzopoulou, K. Van Ryswyk, M. Shekarrizfard, P. Villeneuve, M. Goldberg, M.E Parent. 2017. Spatial variations in ambient ultrafine particle concentrations and the risk of incident prostate cancer: A case-control study. Environmental Research, 156: 374-380.
  10. Buteau, S. M. Hatzopoulou, D. Crouse, A. Smargiassi, R. Burnett, T. Logan, Deville Cavellin, M. Goldberg. 2017. Comparison of spatiotemporal prediction models of daily exposure of individuals to ambient nitrogen dioxide and ozone in Montreal, Canada. Environmental Research, 156: 201-230
  11. Hatzopoulou, M., M.F Valois, I. Levy, C. Mihele, G. Lu, Bagg, L. Minet, J. Brook. 2017. Robustness of land-use regression models developed from mobile air pollutant measurements. Environmental Science and Technology, 51 (7): 3938-3947.
  12. Shekarrizfard, M., Faghih-Imani, LF. Tetreault, S. Yasmin, P. Morency, C. Plante, L. Drouin, A. Smargiassi, N. Eluru, M. Hatzopoulou. 2017. Modelling the spatio-temporal distribution of ambient nitrogen dioxide and investigating the effects of public transit policies on population exposure. Environmental Modelling and Software, 91: 186-198.
  13. Shekarrizfard, M., Faghih-Imani, LF. Tetreault, S. Yasmin, F. Reynaud, P. Morency, C. Plante, L. Drouin, A. Smargiassi, N. Eluru, M. Hatzopoulou. 2017. Regional assessment of exposure to traffic-related air pollution: Impacts of individual mobility and transit investment scenarios. Sustainable Cities and Society, 29: 68-76.
  14. Fallah-Shorshani, M., Shekarrizfard, M. Hatzopoulou. 2017. Integrating a street-canyon model with a regional Gaussian dispersion model for improved characterisation of near-road air pollution. Atmospheric Environment, 153: 21-31.
  15. Addo, A. and M. Hatzopoulou. 2017. Harnessing the potential of AVL and APC data to simulate greenhouse gas emissions of an interregional bus route in Toronto, Canada. Transportation Research Record, Journal of the Transportation Research Board, 2627: 36-45.
  16. Reynaud, F., Sider, M. Hatzopoulou, N. Eluru. 2016. Extending the Network Robustness Index to include emissions: a holistic framework for link criticality analysis for Montreal transportation system. Transportation Letters.
  17. Wang, A., J. Xu, M. Fallah-Shorshani, M. Hatzopoulou. 2016. Characterizing near-road air pollution using local-scale emission and dispersion models and validation against in-situ measurements. Atmospheric Environment, 142: 452-464.
  18. Xu, J., A. Wang, Hatzopoulou. Investigating near-road particle number concentrations along a busy urban corridor with varying built environment characteristics. 2016. Atmospheric Environment, 142: 171-180.
  19. Lawlor, S., M. Rabbat, T. Sider, N. Eluru, M. Hatzopoulou. 2016. Detecting convoys using license plate recognition data. IEEE Transactions on Signal and Information Processing over Networks, 2 (3): 391-405.
  20. Shekarrizfard, M., Faghih-Imani, D. Crouse, M. Goldberg, N. Ross, N. Eluru, M. Hatzopoulou. 2016. Individual exposure to traffic related air pollution across land-use clusters. Transportation Research Part D, 46: 339-350.
  21. Alam, A., M. Hatzopoulou. 2016. Deriving local operating distributions to estimate transit bus emissions across an urban network. Transportation Research Record: Journal of the Transportation Research Board, 2570: 57-68.
  22. Alamdeddine, I., Abi Esber, E. Abou Zeid, M. Hatzopoulou, M. El-Fadel. 2016. Operational and environmental determinants of in-vehicle CO and PM2.5 exposure. Science of the Total Environment, 551-552: 42-50.
  23. Weichenthal, S., K. Van Ryswyk, Goldstein, S. Bagg, M. Shekarrizfard, M. Hatzopoulou. 2016. A land use regression model for ambient ultrafine particles in Montreal, Canada: A comparison of linear regression and a machine learning approach. Environmental Research, 146: 65-72.
  24. Widener, M. and M. Hatzopoulou. 2016. Contextualizing research on transportation and health: A systems perspective. Journal of Transport and Health, 3 (3): 232-239.
  25. Ragettli, M., S. Goudreau, C. Plante, M. Fournier, M. Hatzopoulou, S. Perron, A. Smargiassi. Statistical modeling of the spatial variability of environmental noise levels in Montreal, Canada, using noise measurements and land use characteristics. 2016. Journal of exposure science and environmental epidemiology, 26 (6): 597-605.
  26. Deville Cavellin, L., S. Weichenthal, Tack, M. Ragettli, A. Smargiassi, M. Hatzopoulou. 2016. Investigating the use of portable air pollution sensors to capture the spatial variability of traffic related air pollution. Environmental Science & Technology, 50 (1): 313-320.
  27. Shekarrizfard, M., A. Faghih-Imani, Hatzopoulou. 2016. An examination of population exposure to traffic related air pollution: Comparing spatially and temporally resolved estimates against long-term average exposures at the home location. Environmental Research, 147: 435-444.
  28. Farrell, W., Weichenthal, M.F. Valois, M. Goldberg, M. Shekarrizfard, M. Hatzopoulou. 2016. Near-roadway air pollution across a spatially extensive road and cycling network. Environmental Pollution, 212: 498-507.
  29. Weichenthal, S., K. Van Ryswyk, Goldstein, M. Shekarrizfard, M. Hatzopoulou. 2016. Characterizing the spatial distribution of ultrafine particles in Toronto, Canada: A Land-use regression model. Environmental Pollution, 208 (A): 241-248.
  30. Sider, T., Goulet-Langlois, N. Eluru, M. Hatzopoulou. 2015. Evaluating the sensitivity of transport emission inventories to the level of input aggregation and model randomness. Transportation, 43:315-335.
  31. Farrell, W., S. Weichenthal, M. Goldberg, M. Hatzopoulou. 2015. Evaluating air pollution exposures across cycling infrastructure types: Implications for facility design. Journal of Transportation and Land-Use, 8 (3): 131-149.
  32. Sider, T., Hatzopoulou, N. Eluru, G. Goulet-Langlois, K. Manaugh. 2015. Smog and socio-economics: An evaluation of equity in traffic-related air pollution exposure and generation. Environment and Planning B, 42: 870-887.
  33. Farrell, W., Deville-Cavellin, S. Weichenthal, M. Goldberg, M. Hatzopoulou. 2015. Capturing the urban canyon effect on particle number concentrations across a large road network using spatial analysis tools. Building and Environment, 92: 328 -334.
  34. Shekarrizfard, M., Shamsunnahar, M.F. Valois, M. Goldberg, D. Crouse, N. Ross, M.E. Parent, M. Hatzopoulou. 2015. Investigating the role of transport models in epidemiologic studies of traffic related air pollution and health effects. Environmental Research, 140: 282-291.
  35. Dale, LM., S. Goudreau, S. Perron, MS. Ragettli, M. Hatzopoulou, A. Smargiassi. 2015. Socioeconomic status and environmental noise exposure in Montreal, Canada. BMC Public Health, 15: 205.
  36. Ghafghazi, G. and M. Hatzopoulou. 2015. Simulating the air quality impacts of traffic calming schemes in a dense urban neighbourhood. Transportation Research Part D, 35: 11-22.
  37. Sider, T., Alam, W. Farrell, M. Hatzopoulou, N. Eluru. 2014. Evaluating vehicular emissions with an integrated mesoscopic and microscopic traffic simulation. Canadian Journal of Civil Engineering, 41 (10): 856-868
  38. Alam, A., Ghafghazi, M. Hatzopoulou. 2014. Traffic Emissions and Air Quality Near Roads in Dense Urban Neighborhood: Using Microscopic Simulation for Evaluating Effects of Vehicle Fleet, Travel Demand, and Road Network Changes. Transportation Research Record, No. 2427, pp. 83-92.
  39. Weichenthal, S., M. Hatzopoulou, MS. Goldberg. 2014. Impact of short-term exposure to traffic-related air pollution during physical activity on blood pressure, autonomic and micro-vascular function in women. Particle and Fiber Toxicology, 11: 70.
  40. Alam, A., E, Diab, A. El-Geneidy, M. Hatzopoulou. 2014. A simulation of transit bus emissions along an urban corridor: Evaluating changes across several years and under various service improvement strategies. Transportation Research Part D, 31: 189-198.
  41. Weichenthal, S., Farrell, L. Joseph, M. Goldberg, M. Hatzopoulou. 2014. Characterizing the impact of traffic and built environment on near-road ultrafine particle concentrations. Environmental Research, 132: 305-310.
  42. Alam, A. and M. Hatzopoulou. 2014. Investigating the isolated and combined effects of congestion, roadway grade, passenger loading, and alternative fuels on transit bus emissions. Transportation Research Part D, 29: 12-21.
  43. Alam, A. and M. Hatzopoulou. 2014. Reducing transit bus emissions: Alternative fuels or traffic operations? Atmospheric Environment, 89: 129-139.
  44. Ghafghazi, G., M. Hatzopoulou. 2014. Simulating the environmental effects of isolated and area-wide traffic calming schemes using traffic simulation and microscopic emission modeling. Transportation, 41 (3): 633-649.
  45. Sider, T., A. Alam, M. Zukari, H. Dugum, N. Goldstein, N. Eluru, M. Hatzopoulou. Land-use and socio-economics as determinants of traffic emissions and individual exposure to air pollution. Journal of Transport Geography, 33: 230-239.
  46. Hatzopoulou, M., S. Weichenthal, Barreau, M. Goldberg, W. Farrell, D. Crouse, N. Ross. 2013. A web-based route planning tool to reduce cyclists’ exposures to traffic pollution: A case study in Montreal, Canada. Environmental Research, 123: 58-61.
  47. Chan, L., Miranda-Moreno, Alam, A., M. Hatzopoulou. 2013. Assessing the impact of bus technology on greenhouse gas emissions along a major corridor: A lifecycle analysis. Transportation Research Part D, 20: 7-11.
  48. Mathez, A., K. Manaugh, V. Chakour, A. El-Geneidy, M. Hatzopoulou. 2013. How can we alter our carbon footprint? Estimating GHG emissions based on travel survey information. Transportation, 40 (1): 131-149.
  49. Hatzopoulou, M., S. Weichenthal, Dugum, G. Pickett, L. Miranda-Moreno, R. Kulka, R. Andersen, M. Goldberg. 2013. The impact of traffic counts and separate cycling lanes on personal air pollution exposures among cyclists in Montreal, Canada. Journal of Exposure Science and Environmental Epidemiology, 23 (1): 46-51.
  50. Strauss, J., L. Miranda-Moreno, D. Crouse, M. Goldberg, Ross, N., M. Hatzopoulou. 2012. Investigating the link between cyclist volumes and pollution levels along bicycle facilities in a dense urban core. Transportation Research Part D, 17 (8): 619-625.
  51. Lau, J., M. Hatzopoulou, M. Wahba, E.J. Miller. 2011. An integrated multi-model evaluation of transit bus emissions in Toronto. Transportation Research Record, No. 2216, pp. 1-9.
  52. Hatzopoulou, M., Y., Hao, and E.J. Miller. 2011. Simulating the impacts of household travel on greenhouse gas emissions, urban air quality, and population exposure. Transportation, 38 (6): 871-887.
  53. Hao, J.Y., Hatzopoulou, and E.J. Miller. 2010. Integrating an activity-based travel demand model with dynamic traffic assignment and emission models: An implementation in the Greater Toronto Area. Transportation Research Record, No. 2176, pp. 1-13. Received the Charley V. Wootan Award for the Best Paper in Transportation Policy and Organization.
  54. Hatzopoulou, M. and E.J. Miller. 2010. Linking an activity-based travel demand model with traffic emission and dispersion models: Transport’s contribution to air pollution in Toronto. Transportation Research Part D, 15 (6): 315-325.
  55. Hatzopoulou, M. and E.J. Miller. 2009. Transport policy evaluation in metropolitan areas: The role of modelling in decision-making. Transportation Research Part A, 43 (4): 323-338.
  56. Hatzopoulou, M. and E.J. Miller. 2008. Institutional integration for sustainable transportation policy in Canada. Transport Policy, 15 (3): 149–162.
  57. Hatzopoulou, M., E.J. Miller and B. Santos. Integrating vehicle emission modelling with activity-based travel demand modelling: A case study of the Greater Toronto Area (GTA), Transportation Research Record, No. 2011, pp. 29-39.
  58. Kazopoulo, I. Kaysi and M. El-Fadel. 2007. A stated-preference approach towards assessing a vehicle inspection and maintenance program. Transportation Research Part D, 12 (5): 358-370.
  59. Kazopoulo, M. El-Fadel and I. Kaysi. 2005. Emission standards development with exhaust emission measurements in a typical inspection and maintenance program. ASCE Journal of Environmental Engineering, 131 (9): 1330-1339.
  60. El Fadel, M., I. Alameddine, Kazopoulo, M. Hamdan and R. Nasrallah. 2001. Indoor air quality assessment in an underground parking facility. Indoor + Built Environment, 10 (3-4): 179-184.
  61. El Fadel, M., I. Alameddine, Kazopoulo, M. Hamdan and R. Nasrallah. 2001. Carbon Monoxide and Volatile Organic Compounds as indicators of indoor air quality in underground parking facilities. Indoor + Built Environment, 10 (2): 70-82.
  62. Tabbal, M., Kazopoulo, T.C. Christidis and S. Isber. 2001. Enhancement of the molecular nitrogen dissociation levels by Argon dilution in surface wave sustained plasmas. Applied Physics Letters, 78: 2131. 

Teaching

Course Code Title & Description Instructor Session Day(s) Start Time End Location(s)
CIV1505H

Prof. Marianne Hatzopoulou Winter 2018 Friday 11:00 12:00 SF 3102
CIV1536H

Prof. Marianne Hatzopoulou Winter 2018 Friday 12:00 15:00 GB 217
CIV536H

Prof. Marianne Hatzopoulou Fall 2017 Scheduled by the Office of the Faculty Registrar.
CME261H Prof. Marianne Hatzopoulou Fall 2017 Scheduled by the Office of the Faculty Registrar.