A study published in the International Journal of Behavioral Nutrition and Physical Activity used linear regression to model associations between Bike Score® and journey-to-work cycling mode share for 5,664 census tracts in 24 US and Canadian cities.

The study found that at city level, the correlation between a mean Bike Score® and mean journey-to-work cycling mode share was moderate (r = 0.52). However, at census tract level, the correlation was 0.35 and that a ten-unit increase in Bike Score® was associated with a 0.5 percent (95 % CI: 0.5 to 0.6) increase in the proportion of population cycling to work, a meaningful difference given the low modal shares (mean = 1.9 percent) in many North American cities. Census tracts with the highest Bike Scores (>90 to 100) had mode shares 4 percent higher (β = 4.0, 95 percent CI: 2.9 to 5.0) than the lowest Bike Score areas (0–25). City-specific analyses indicated between-city variability in associations with regression estimates between Bike Score and mode share ranging from 0.2 to 3.5 percent.

The study concludes that the Bike Score® metric is associated with bicycle mode share between and within cities, suggesting its utility for planning bicycle infrastructure.