TY - JOUR
T1 - Social (in)equity in access to cycling infrastructure
T2 - Cross-sectional associations between bike lanes and area-level sociodemographic characteristics in 22 large U.S. cities
AU - Braun, Lindsay M.
AU - Rodriguez, Daniel A.
AU - Gordon-Larsen, Penny
N1 - Funding Information:
This work was funded by the National Heart, Lung, and Blood Institute (NHLBI) grants R01HL104580 and R01HL114091 . For general support, the authors are grateful to the Carolina Population Center, University of North Carolina at Chapel Hill (grant P2C HD050924 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development [NICHD]), the Nutrition Obesity Research Center (NORC), University of North Carolina (grant P30DK56350 from the National Institute for Diabetes and Digestive and Kidney Diseases [NIDDK]), and the UNC Center for Environmental Health and Susceptibility (CEHS), University of North Carolina (grant P30ES010126 from the National Institute of Environmental Health Sciences [NIEHS]). The funding sources had no role in the study design; in the collection, analysis or interpretation of data; in the writing of the report; or in the decision to submit the article for publication.
Funding Information:
This work was funded by the National Heart, Lung, and Blood Institute (NHLBI) grants R01HL104580 and R01HL114091. For general support, the authors are grateful to the Carolina Population Center, University of North Carolina at Chapel Hill (grant P2C HD050924 from the Eunice Kennedy Shriver National Institute of Child Health and Human Development [NICHD]), the Nutrition Obesity Research Center (NORC), University of North Carolina (grant P30DK56350 from the National Institute for Diabetes and Digestive and Kidney Diseases [NIDDK]), and the UNC Center for Environmental Health and Susceptibility (CEHS), University of North Carolina (grant P30ES010126 from the National Institute of Environmental Health Sciences [NIEHS]). The funding sources had no role in the study design; in the collection, analysis or interpretation of data; in the writing of the report; or in the decision to submit the article for publication.
Publisher Copyright:
© 2019
PY - 2019/10
Y1 - 2019/10
N2 - Cycling advocates have recently argued that low-income and minority communities across the U.S. have disproportionately low access to bike lanes. To date, however, quantitative evidence of disparities in access to bike lanes has been limited to a small number of cities. We addressed this research gap by examining cross-sectional associations between bike lanes and sociodemographic characteristics at the block group level for 22 large U.S. cities (n = 21,843 block groups). Dependent variables included the presence (yes/no), coverage, connectivity, and proximity of bike lanes, measured using secondary GIS data collected by each of the 22 cities between 2012 and 2016. Primary independent variables included indicators of race, ethnicity, educational attainment, income, poverty, and a composite socioeconomic status (SES) index, all measured using data from the 2011–2015 American Community Survey. We used linear and logistic multilevel mixed-effects regression models to estimate associations between these sociodemographic characteristics and each bike lane dependent variable, before and after adjusting for traditional indicators of cycling demand (population and employment density, distance to downtown, population age structure, bicycle commuting levels). In unadjusted associations, disadvantaged block groups (i.e. lower SES, higher proportions of minority residents) had significantly lower access to bike lanes. After adjusting for indicators of cycling demand, access to bike lanes was lower in block groups with particular types of disadvantage (lower educational attainment, higher proportions of Hispanic residents, lower composite SES) but not in those with other types of disadvantage (higher proportions of black residents, lower income, higher poverty). These results provide empirical support for advocates' claims of disparities in bike lane access, suggesting the importance of more closely considering social equity in bicycle planning and advocacy.
AB - Cycling advocates have recently argued that low-income and minority communities across the U.S. have disproportionately low access to bike lanes. To date, however, quantitative evidence of disparities in access to bike lanes has been limited to a small number of cities. We addressed this research gap by examining cross-sectional associations between bike lanes and sociodemographic characteristics at the block group level for 22 large U.S. cities (n = 21,843 block groups). Dependent variables included the presence (yes/no), coverage, connectivity, and proximity of bike lanes, measured using secondary GIS data collected by each of the 22 cities between 2012 and 2016. Primary independent variables included indicators of race, ethnicity, educational attainment, income, poverty, and a composite socioeconomic status (SES) index, all measured using data from the 2011–2015 American Community Survey. We used linear and logistic multilevel mixed-effects regression models to estimate associations between these sociodemographic characteristics and each bike lane dependent variable, before and after adjusting for traditional indicators of cycling demand (population and employment density, distance to downtown, population age structure, bicycle commuting levels). In unadjusted associations, disadvantaged block groups (i.e. lower SES, higher proportions of minority residents) had significantly lower access to bike lanes. After adjusting for indicators of cycling demand, access to bike lanes was lower in block groups with particular types of disadvantage (lower educational attainment, higher proportions of Hispanic residents, lower composite SES) but not in those with other types of disadvantage (higher proportions of black residents, lower income, higher poverty). These results provide empirical support for advocates' claims of disparities in bike lane access, suggesting the importance of more closely considering social equity in bicycle planning and advocacy.
KW - Bike lanes
KW - Cycling
KW - Disparities
KW - Equity
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U2 - 10.1016/j.jtrangeo.2019.102544
DO - 10.1016/j.jtrangeo.2019.102544
M3 - Article
AN - SCOPUS:85073099283
SN - 0966-6923
VL - 80
JO - Journal of Transport Geography
JF - Journal of Transport Geography
M1 - 102544
ER -