Bus Delay Patterns in Boston

Boston’s buses experience frequent delays caused by double parking and curb-use conflicts. While these delays are widely recognized, existing data does not clearly show where slowdowns recur or how they accumulate across time and space. This project centers on visualizing recurring bus slowdowns using GTFS-realtime data and related indicators such as 311 complaints. Students will design map-based and temporal visualizations that make slowdown patterns legible at the route and corridor level. The focus is on revealing spatial concentration, time-of-day patterns, and alignment with curb-use signals—not on optimizing detection models. The visualizations are also intended to highlight recurring patterns and correlations. Final outputs will help LivableStreets communicate where bus delays consistently occur and support advocacy for targeted curb management or enforcement.