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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.
El-Assi, W., Morency, C., Miller, E. J., & Habib, K. N. (2020). Investigating the capacity of continuous household travel surveys in capturing the temporal rhythms of travel demand. External link
El-Assi, W., Miller, E. J., Morency, C., & Habib, K. N. (2014, November). Investigating the capacity of continuous household travel surveys in capturing the temporal rhythms of travel demand [Paper]. International Conference on Travel Survey Methods, Leura, Australia (20 pages). Unavailable
Habib, K. N., Miller, E. J., Srikukenthrian, S., Lee-Gosselin, M., Morency, C., Roorda, M. J., & Shalaby, A. (2017, September). TTS2.0: A research and development (R&D) project on passenger travel survey methods [Paper]. 11th International Conference on Transport Survey Methods, Estérel, Québec. Published in Transportation Research Procedia, 32. Available
Habib, K. N., Morency, C., Trépanier, M., & Salem, S. (2013). Application of an independent availability logit model (IAL) for route choice modelling: Considering bridge choice as a key determinant of selected routes for commuting in Montréal. Journal of Choice Modelling, 9, 14-26. External link
Habib, K. N., Morency, C., Trépanier, M., & Salem, S. (2013, January). Route choice modelling for urban commuters : considering bridge choice as a key determinant of selected routes [Paper]. 92nd Annual Meeting of the Transportation Research Board, Washington, DC, USA. External link
Habib, K. N., Morency, C., & Trépanier, M. (2012). Integrating Parking Behaviour in Activity-Based Travel Demand Modelling: Investigation of the Relationship Between Parking Type Choice and Activity Scheduling Process. Transportation Research Part A-Policy and Practice, 46(1), 154-166. External link
Habib, K. N., Morency, C., Islam, M. T., & Grasset, V. (2012). Modelling Users' Behaviour of a Carsharing Program: Application of a Joint Hazard and Zero Inflated Dynamic Ordered Probability Model. Transportation Research Part A-Policy and Practice, 46(2), 241-254. External link
Morency, C., Trépanier, M., Habib, K. N., & Salem, S. (2015, March). Quand le pont dicte le trajet! [Paper]. 50e Congrès de l'Association québécoise des transports, Montréal, Québec. External link
Morency, C., Habib, K. N., Grasset, V., & Islam, M. T. (2012). Understanding Members' Carsharing (Activity) Persistency by Using Econometric Model. Journal of Advanced Transportation, 46(1), 26-38. External link
Trépanier, M., Habib, K. N., & Morency, C. (2012). Are Transit Users Loyal? Revelations From a Hazard Model Based on Smart Card Data. Canadian Journal of Civil Engineering, 39(6), 610-618. External link
Wielinski, G., Trépanier, M., Morency, C., & Habib, K. N. (2018). Comparing multiple data streams to assess free-floating carsharing use. Transportation Research Procedia, 32, 617-626. Available
Wielinski, G., Trépanier, M., Morency, C., & Habib, K. N. (2017, September). Measuring carsharing behavioral change over eight years of passive data stream: results and methodological challenges [Paper]. 11th International Conference on Travel Survey Methods, Estérel, Québec. Unavailable