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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Cano Perdomo, M., Rezaei, A., Patterson, Z., Saunier, N., & Miranda-Moreno, L. F. (2013). Pedestrian preferences with respect to roundabouts - A video-based stated preference survey. (Technical Report n° CIRRELT-2013-82). External link
Daziano, R., Waygood, O., Patterson, Z., Feinberg, M., & Wang, B. (2021). Reframing greenhouse gas emissions information presentation on the Environmental Protection Agency's new-vehicle labels to increase willingness to pay. Journal of Cleaner Production, 279, 123669 (14 pages). External link
Daziano, R. A., Waygood, O., Patterson, Z., & Braun Kohlová, M. (2017). Increasing the influence of CO₂ emissions information on car purchase. Journal of Cleaner Production, 164, 861-871. External link
Hatzopoulou, M., Miranda-Moreno, L., Morency, C., Saunier, N., Patterson, Z., Trépanier, M., Shekarrizfard, M., Stipancic, J., Alam, A., Badran, A., Faucher, J., Gaudette, P., Harding, C., & Zahabi, A. (2017). Circulation et qualité de l'air - parachèvement de l'Autoroute 25: Rapport Final: Rapport général, période : 2011- 2014. (Technical Report). External link
Hatzopoulou, M., Miranda-Moreno, L., Morency, C., Saunier, N., Patterson, Z., Trépanier, M., Alam, A., Badran, A., Faucher, J., Gaudette, P., Harding, C., Martellozzo, F., & Shekarrizfard, M. (2014). Circulation et qualité de l'air, parachèvement de l'autoroute 25: Second rapport : rapport de suivi 2011-2012, Première année d'opération : 24 mai 2011 au 23 mai 2012. (Technical Report). Unavailable
Hatzopoulou, M., Miranda-Moreno, L. F., Saunier, N., Morency, C., Trépanier, M., & Patterson, Z. (2013). Traffic and air quality impact in highway 25. (Technical Report). Unavailable
Laffont, P., Waygood, O., & Patterson, Z. (2022). How Many Electric Vehicles Are Needed to Reach CO2 Emissions Goals? A Case Study from Montreal, Canada. Sustainability, 14(3), 1441 (24 pages). External link
Naseri, H., Waygood, O., & Patterson, Z. (2025). Household transportation lifecycle greenhouse gas emission prediction. Transportation Research Part D Transport and Environment, 141, 104660 (23 pages). External link
Naseri, H., Waygood, O., Patterson, Z., & Wang, B. (2024). Who is more likely to buy electric vehicles? Transport Policy, 155, 15-28. Available
Naseri, H., Waygood, O., Patterson, Z., Alousi-Jones, M., & Wang, B. (2024). Travel mode choice prediction: developing new techniques to prioritize variables and interpret black-box machine learning techniques. Transportation Planning and Technology, 2411611. External link
Naseri, H., Waygood, O., Patterson, Z., & Wang, B. (2024). Which variables influence electric vehicle adoption? Transportation, 38 pages. External link
Naseri, H., Waygood, O., Wang, B., & Patterson, Z. (2023). Interpretable Machine Learning Approach to Predicting Electric Vehicle Buying Decisions. Transportation Research Record, 14 pages. External link
Naseri, H., Waygood, O., Wang, B., & Patterson, Z. (2022). Application of Machine Learning to Child Mode Choice with a Novel Technique to Optimize Hyperparameters. International Journal of Environmental Research and Public Health, 19(24), 16844 (19 pages). External link
Naseri, H., Waygood, O., Wang, B., Patterson, Z., & Daziano, R. A. (2022). A Novel Feature Selection Technique to Better Predict Climate Change Stage of Change. Sustainability, 14(1), 23 pages. External link
Pan, L., Waygood, O., & Patterson, Z. (2025). Bus user itinerary choice: Can crowding information help shift riders? Case Studies on Transport Policy, 19, 101375 (8 pages). External link
Pan, L., Waygood, O., & Patterson, Z. (2023). Public Transit Itinerary Choice Analysis Considering Various Incentives. Transportation Research Record, 12 pages. External link
Pan, L., Waygood, O., & Patterson, Z. (2022). Would You Wait? Bus Choice Behavior Analysis Considering Various Incentives. Transportation Research Record, 2676(7), 117-127. External link
Poucin, G., Farooq, B., & Patterson, Z. (2018). Activity patterns mining in Wi-Fi access point logs. Computers, Environment and Urban Systems, 67(Supplement), 55-67. External link
Perdomo, M., Rezaei, A., Patterson, Z., Miranda-Moreno, L., & Saunier, N. (2014, January). Pedestrian preferences with respect to roundabouts : A video-based stated preference survey [Paper]. 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.. External link
Perdomo, M., Rezaei, A., Patterson, Z., Miranda-Moreno, L. F., & Saunier, N. (2014). Pedestrian preferences with respect to roundabouts : A video-based stated preference survey. Accident Analysis & Prevention, 70, 84-91. External link
Shekarrizfard, M., Alam, A., Badran, A., Faucher, J., Miranda-Moreno, L., Morency, C., Saunier, N., Patterson, Z., Trépanier, M., & Hatzopoulou, M. (2016, January). Validation of a PUFF dispersion model: Air quality simulation for new highway infrastructure [Paper]. 95th Annual Meeting of the Transportation Research Board, Washington, DC. Unavailable
Wang, B., Waygood, O., Ji, X., Naseri, H., Loiselle, A. L., Daziano, R. A., Patterson, Z., & Feinberg, M. (2023). How to effectively communicate about greenhouse gas emissions with different populations. Environmental Science & Policy, 147, 29-43. External link
Waygood, O., Wang, B., Daziano, R. A., Patterson, Z., & Braun Kohlová, M. (2022). The climate change stage of change measure: vehicle choice experiment. Journal of Environmental Planning and Management, 65(7), 1210-1239. Available
Wang, B., Waygood, O., Daziano, R. A., Patterson, Z., & Feinberg, M. (2021). Does hedonic framing improve people's willingness-to-pay for vehicle greenhouse gas emissions? Transportation Research Part D: Transport and Environment, 98, 17 pages. External link
