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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.
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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.
Chen, M., Sun, Y., Waygood, O., Wang, D., & Liu, D. (2022). Will they ride them back? User behavior on public bikesharing schemes: Case study of Hangzhou, China. International Journal of Sustainable Transportation, 17(6), 615-625. External link
Chen, M., Wang, D., Sun, Y., Waygood, O., & Yang, W. (2018, January). A comparison of users' characteristics between public bicycle scheme & bike sharing scheme: case study in Hangzhou, China [Paper]. Transportation Research Board 97th Annual Meeting, Washington, DC. External link
Chen, M., Wang, D., Sun, Y., Waygood, O., & Yang, W. (2018). A comparison of users' characteristics between station-based bikesharing system and free-floating bikesharing system: case study in Hangzhou, China. External link
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
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
Tang, X., Wang, D., Sun, Y., Chen, M., & Waygood, O. (2020). Choice behavior of tourism destination and travel mode: A case study of local residents in Hangzhou, China. Journal of Transport Geography, 89, 102895 (7 pages). External link
