“Pursuing the impossible (?) dream: Incorporating attitudes into practice-ready travel demand forecasting models”, by Patricia L. Mokhtarian. Transportation Research A190, 104254, 2024. Invited paper based on Lifetime Achievement Award keynote talk. Open access, available at https://doi.org/10.1016/j.tra.2024.104254.
A Transfer Learning-based Framework for Enriching National Household Travel Survey Data with Attitudinal Variables, by Aliaksandr Malokin, Patricia L. Mokhtarian, and Giovanni Circella. 2019. Unpublished manuscript, available at https://doi.org/10.35090/gatech/66813.
Methods for Enriching Transportation Survey Datasets: With Sample Applications Using Psychometric Variables, by F. Atiyya Shaw, 2021. PhD Dissertation, School of Civil and Environmental Engineering, Georgia Institute of Technology. Available at https://smartech.gatech.edu/handle/1853/64640.
“Using marker statements to impute attitudes: evaluating their efficacy in vehicle ownership models”, by Jason M. Soria and Patricia L. Mokhtarian, 2024. Under peer review; available from the authors.
