Boston Open Data · 311 Service Requests
Every 311 complaint about a vehicle in a Boston bike lane, cross-checked two independent ways — what people wrote, and where they stood — and compared against how the city handles everything else in the same queue.
Everything on this page is generated directly from Boston's Open311 API. SQL, source code, and methodology are open source.
Closure and on-time rates for Confirmed bike lane blocking, measured against everything else in the same queue.
Three mutually exclusive groups: Confirmed (the complaint's own text names a bike lane), Possible (no such text, but the location sits within 15m of a mapped bike lane), and Other (the rest of the same Illegal Parking / Abandoned Vehicle / Bicycle Issues / Abandoned Bicycle pool). Two independent detection methods, same result.
Confirmed + Possible bike lane blocking incidents, by week requested.
Confirmed + Possible bike lane blocking incidents, local time.
Streets hit repeatedly across many separate weeks — not just high volume, but a sustained, ongoing pattern at that specific spot (4+ distinct weeks with at least one incident). Top 25 shown; download the CSV for the full list.
The city's own closure notes on closed Confirmed + Possible cases, categorized. "Ticketed" and "Towed" mean enforcement acted; "Not Applicable" means the city decided the complaint didn't apply (wrong case type, private property, a duplicate).
Top streets and neighborhoods by combined Confirmed + Possible incident count.
The full scope this dataset covers, before splitting out bike lane blocking specifically.
Confirmed + Possible bike lane blocking incidents by City Council district (precinct-level mapping — several wards are split across multiple districts). Source: Boston City Council, 2026/2027 roster.
Photos submitted alongside 311 reports — cars, trucks, and government vehicles sitting in the lane.
All Confirmed + Possible bike lane blocking requests. Click a row (▸) to expand full details, including the resolution note. Click a column header to sort; search filters street, neighborhood, and description.