This article examines how bicycle commuting is associated with bike lane access and sociodemographic advantage at the block group level in twenty-two U.S. cities. Using regression models with interaction terms, I find that associations between bike lanes and bicycle commuting are stronger among more advantaged block groups, due primarily to limited bicycle commuting in disadvantaged block groups even when bike lanes are present. This indicates the importance of considering heterogeneous effects in planning research and suggests that bike lane investment, in isolation, could widen sociodemographic disparities in cycling and its benefits if non-infrastructure barriers to cycling are not also addressed.

本文研究了在美国22个城市中，自行车通勤与自行车道通行以及社会人口优势的关系。使用具有交互作用项的回归模型，我发现在优势较大的街区群体中，自行车道与自行车通勤之间的关联性更强，这主要是由于即使在存在自行车道时，弱势街区群体的自行车通勤也受到限制。这表明在规划研究中考虑异质性影响的重要性，并建议自行车道投资可以孤立地扩大自行车在社会人口学方面的差距，如果不解决自行车的非基础设施障碍，其收益也将扩大。