 | 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.
Dong, Y., Sun, Y., Wang, D., & Waygood, O. (2025). From first ride to regular user: Understanding the factors influencing continuous use intention of autonomous taxis. Transportation Research Part F Traffic Psychology and Behaviour, 113, 106-123. External link
Dong, Y., Sun, Y., Wang, D., & Waygood, O. (2024). Deciphering the character of public transport participation in subjective well-being: Evidence from Hangzhou, China. Journal of Transport & Health, 39, 101923 (14 pages). External link
Dong, Y., Sun, Y., Wang, D., Waygood, O., Naseri, H., & Jiang, Y. (2023, December). How daily mobility and public transport use affect travel satisfaction : evidence from Hangzhou, China [Paper]. 27th International Conference of Hong Kong Society for Transportation Studies: Transport and Equity (HKSTS 2023), Hong Kong. Unavailable
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
Sun, Y., Dong, Y., Wang, D., Waygood, O., Naseri, H., & Nishii, K. (2023). Correlation between travel experiences and post-COVID outbound tourism intention: a case study from China. Journal of Zhejiang University-SCIENCE A, 14 pages. External link
Sun, Y., Dong, Y., Waygood, O., Naseri, H., Jiang, Y., & Chen, Y. (2022). Machine-learning approaches to identify travel modes using smartphone-assisted survey and map application programming interface. Transportation Research Record, 2677(2), 385-400. External link
