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Analyze the 2006-2010 five-year Census Transportation Planning Package using R and MonetDBLite
R code for working with Travel Behavior Inventory survey data.
Travel Behavior Inventory analysis and interactive visualization
In this project, we are trying to understand the travel behavior of people. Specifically, we are interested in the causal mechanism of how people choose a particular mode over other available modes. Ultimately, we learned which variables are causally related to each other by employing causal structure learning techniques.
Mella Lira, B., Paez, A. (2021) Do drivers dream of walking? An investigation of travel mode dissonance from the perspective of affective values, Journal of Transport and Health, 20:101015