- Emerging Mobility Studies
- Ride-Hail/TNC Studies
Overview And Key Findings
"TNCs and Congestion" report provides the first comprehensive analysis of how Transportation Network Companies Uber and Lyft collectively have affected roadway congestion in San Francisco.
Key findings in the report:
The report found that Transportation Network Companies accounted for approximately 50 percent of the rise in congestion in San Francisco between 2010 and 2016, as indicated by three congestion measures: vehicle hours of delay, vehicle miles travelled, and average speeds.
Employment and population growth were primarily responsible for the remainder of the worsening congestion.
Major findings of the TNCs & Congestion report show that collectively the ride-hail services accounted for:
- 51 percent of the increase in daily vehicle hours of delay between 2010 and 2016;
- 47 percent of the increase in vehicle miles travelled during that same time period; and
- 55 percent of the average speed decline on roadways during that same time period.
- On an absolute basis, TNCs comprise an estimated 25 percent of total vehicle congestion (as measured by vehicle hours of delay) citywide and 36 percent of delay in the downtown core.
Consistent with prior findings from the Transportation Authority’s 2017 TNCs Today report, TNCs also caused the greatest increases in congestion in the densest parts of the city - up to 73 percent in the downtown financial district - and along many of the city’s busiest corridors. TNCs had little impact on congestion in the western and southern San Francisco neighborhoods.
The report also found that changes to street configuration (such as when a traffic lane is converted to a bus-only lane), contributed less than 5 percent to congestion.
Download a copy of "TNCs and Congestion" report.
Download a copy of the press release.
Download a copy of the data file used to prepare the report:
Connect With Us
If you have questions about "TNCs and Congestion," or are interested in a research collaboration, please contact Joe Castiglione, Deputy Director for Technology, Data and Analysis via email or Drew Cooper, Planner, via email.