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This 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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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.
Avineri, E., & Waygood, O. (2013). Applying valence framing to enhance the effect of information on transport-related carbon dioxide emissions. Transportation Research Part A: Policy and Practice, 48, 31-38. External link
Avineri, E., Chatterjee, K., Darnton, A., Goodwin, P., Lyons, G., Musselwhite, C., Pilkington, P., Rayner, G., Tapp, A., Waygood, O., & Wiltshire, P. (2009). Individual Behaviour Change: Evidence in transport and public health. (Technical Report n° PPRO 04/06/33). External link
Waygood, O., & Avineri, E. (2018). CO₂ valence framing: Is it really any different from just giving the amounts? Transportation Research Part D: Transport and Environment, 63, 718-732. External link
Waygood, O., & Avineri, E. (2014, April). Communicating transportation carbon dioxide information: Does gender impact behavioral response? [Paper]. 5th International Conference on Women's Issues in Transportation, Paris, France. Unavailable
Waygood, O., Chatterton, T., & Avineri, E. (2013). Comparing and presenting city-level transportation CO₂ emissions using GIS. Transportation Research Part D: Transport and Environment, 24, 127-134. External link
Waygood, O., & Avineri, E. (2012). D1.3 Monitoring and Evaluation. (Technical Report). External link
Waygood, O., Avineri, E., & Chatterton, T. (2012). D3.2 Report on data analysis and GHG emissions estimates related to travel choice. (Technical Report). External link
Waygood, O., Avineri, E., & Lyons, G. (2012). The role of information in reducing the impacts of climate change for transport applications. In Transport and Climate Change (pp. 313-340). External link
Waygood, O., & Avineri, E. (2011, January). Does “500g of CO₂ for a mile trip” mean anything? Towards more effective presentation of CO₂ information [Paper]. Transportation Research Board 90th Annual Meeting, Washington, DC. External link
Waygood, O., & Avineri, E. (2011, January). Loss framing and perceptions of CO₂ amounts [Paper]. 43rd Annual Conference Universities' Transport Study Group (UTSG 2011), Milton Keynes, UK. Unavailable
Waygood, O., & Avineri, E. (2010). D1.2 Research and Design Report. (Technical Report). Unavailable
Waygood, O., & Avineri, E. (2010, September). Visual formats, reference points, and anchoring effects on perceptions of the sustainability of travel choices [Paper]. 1st Workshop on Traffic Behavior, Modelling and Optimization (TBMO10), Madeira, Portugal. External link