Public Transportation Analytics and Planning

Students will gain experience processing, visualizing, and analyzing urban mobility data, with emphasis on models and performance metrics for scheduled, fixed-route transit services. The evolution of urban public transportation modes and services, as well as interaction with emerging on-demand services, will be covered. Instructors and guest lecturers will discuss methods for data collection and analysis, institutional and policy constraints related to transit planning in the United States, and operational considerations for various public transportation modes. In assignments, students will practice using spatial database, network analysis, and other software to shape recommendations for transit that effectively meets the future needs of cities. This subject will use both video and in-person lectures as well as group work sessions. Programming experience is not required, but familiarity with software versioning (e.g. via GitHub) and spatial analysis (e.g. GIS) will be helpful.