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This graph maps the connections between all the collaborators of {}'s publications listed on this page.
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A 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.
Nabavi Niaki, M. S., Bourdeau, J.-S., Miranda-Moreno, L., & Saunier, N. (2023, July). Cycling Network Discontinuities as Indicators for Performance Evaluation: Case Study in Four Cities [Paper]. World Conference on Transport Research (WCTR 2023), Montréal, Québec. Published in Transportation research procedia, 82. External link
Nabavi Niaki, M. S., Saunier, N., & Miranda-Moreno, L. F. (2019, January). Is that Move Safe? Case Study of Cyclist Movements at Intersections with Cycling Discontinuities [Paper]. Transportation Research Board 98th Annual Meeting, Washington DC, United States. External link
Nabavi Niaki, M. S., Saunier, N., & Miranda-Moreno, L. F. (2019). Is that move safe? Case study of cyclist movements at intersections with cycling discontinuities. Accident Analysis and Prevention, 131, 239-247. External link
Nabavi Niaki, M. S., Saunier, N., & Miranda-Moreno, L. F. (2018). Analysing cyclist behaviour at cycling facility discontinuities using video data. Transactions on Transport Sciences, 9(1), 3-17. Available
Nabavi Niaki, M. S., Saunier, N., & Miranda-Moreno, L. F. (2017, January). Analysis of Cyclist Behaviour at Cycling Network Discontinuities Using Computer Vision [Paper]. 96th Annual Meeting of the Transportation Research Board, Washington, D.C.. External link
Nabavi Niaki, M. S., Fu, T., Saunier, N., Miranda-Moreno, L. F., Amador-Jimenez, L., & Bruneau, J.-F. (2015, January). Effects of road lighting on bicycle and pedestrian accident frequency: Case study in Montréal, Canada [Paper]. 95th Annual Meeting of the Transportation Research Board, Washington, DC. External link
Nabavi Niaki, M. S., Saunier, N., & Miranda-Moreno, L. F. (2016, January). Methodology to quantify discontinuities in a cycling network: Case study in Montréal boroughs [Paper]. 95th Annual Meeting of the Transportation Research Board, Washington, DC. External link
Nabavi Niaki, M. S., Fu, T., Saunier, N., Miranda-Moreno, L. F., Amador, L., & Bruneau, J.-F. (2016). Road lighting effects on bicycle and pedestrian accident frequency: case study in Montréal, Québec, Canada. Transportation Research Record, 2555(1), 86-94. External link
Nabavi Niaki, M. S., Saunier, N., Miranda-Moreno, L. F., Amador-Jimenez, L., & Bruneau, J.-F. (2014, January). A method for road lighting audit and safety screening [Paper]. 93rd Annual Meeting of the Transportation Research Board, Washington, D.C.. Unavailable