My name is Pingfan Hu, a PhD candidate in EMSE at George Washington University, advised by professor John Helveston. I do R development and data analysis in sustainable transportation using choice models. I develop websites and webapps using Quarto and Shiny. I write moderate Python, HTML, and CSS code as well.
- Smart charging adoption: A survey-based data analysis that studies BEV (Battery Electric Vehicle) owners' willingness to opt in smart charging programs.
- Supplier-managed charging economy analysis: A cost-effectiveness analysis of supplier-managed charging programs among all 18 GEA areas in the USA.
- surveydown: A flexible, open-source platform for making surveys with R, Quarto, Shiny, and Supabase.
- sdstudio: A companion package for designing and managing surveydown surveys.


