 | Up a level |
Collaboration networkThis graph maps the connections between all the collaborators of {}'s publications listed on this page.
Each link represents a collaboration on the same publication. The thickness of the link represents the number of collaborations.
Use the mouse wheel or scroll gestures to zoom into the graph.
You can click on the nodes and links to highlight them and move the nodes by dragging them.
Hold down the "Ctrl" key or the "⌘" key while clicking on the nodes to open the list of this person's publications.
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.
Asl-Javadian, M., Wang, B., Waygood, O., Naseri, H., & Ji, X. (2025). Moral Reframing Effects on Willingness to Pay for Greenhouse Gas Emissions Reduction. Lecture notes in civil engineering, 153-169. Presented at Canadian Society for Civil Engineering Annual Conference (CSCE 2024), Niagara Falls, ON, Canada. External link
Dong, Y., Waygood, O., Wang, B., Huang, P., & Naseri, H. (2022, June). Insight into the nonlinear effect of Covid-19 on well-being in China: Commuting, a vital ingredient [Abstract]. 7th International Conference on Transport and Health (ICTH 2022) (1 page). Published in Journal of Transport & Health, 25, Supple. External link
Dong, Y., Sun, Y., Waygood, O., Wang, B., Huang, P., & Naseri, H. (2022). Insight into the nonlinear effect of COVID-19 on well-being in China: Commuting, a vital ingredient. Journal of Transport & Health, 27, 101526 (15 pages). External link
Miladi, M., Waygood, O., Cloutier, M.-S., Wang, B., & Ali Yas, Z. (2025). Distractions or long waits? Impacts on risky crossing behaviour. IATSS Research, 49(2), 220-230. Available
Miladi, M., Waygood, O., Cloutier, M.-S., & Wang, B. (2022, June). Distractions or long waits? Impacts on risky crossing behavior [Abstract]. 7th International Conference on Transport and Health (ICTH 2022) (1 page). Published in Journal of Transport & Health, 25, Supple. External link
Naseri, H., Waygood, O., Wang, B., Daziano, R. A., & Feinberg, M. (2026). Role of GHG information presentation in shaping EV preferences: machine learning approach. Transportation Research Part D Transport and Environment, 155, 105329 (20 pages). External link
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, 48(3), 582-605. Available
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., & Wang, B. (2024). Which variables influence electric vehicle adoption? Transportation, 38 pages. Available
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
Waygood, O., Naseri, H., Laviolette, J., & Wang, B. (2026). Analyzing the opinions of Canadians on the impacts of electric vehicles. International Journal of Sustainable Transportation, 21 pages. Restricted access
Waygood, O., Naseri, H., Wang, B., & Laviolette, J. (2025). Transport emissions and climate change: Which actions are the hardest? Case Studies on Transport Policy, 23, 101660 (9 pages). External link
Wang, B., Waygood, O., Ji, X., Asl Javadian, M., Pan, L., & Feinberg, M. (2024). Do one's moral foundations impact how they respond to information on climate change emissions? A vehicle choice experiment. Transportation Research Part F: Traffic Psychology and Behaviour, 106, 90-111. External link
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. Available
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
Waygood, O., Boisjoly, G., Manaugh, K., Sener, I. N., Wang, B., Sun, Y., Friman, M., & Olsson, L. E. (2021). Do you miss your friends? Life satisfaction during the second wave of Covid-19. Journal of Transport & Health, 22, 101171 (1 page). External link
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
