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Social (in)equity in access to cycling infrastructure: Cross-sectional associations between bike lanes and area-level sociodemographic characteristics in 22 large U.S. cities

机译:自行车基础设施使用中的社会(不平等):美国22个大城市的自行车道与区域级社会人口学特征之间的横断面关联

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摘要

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 (yeso), 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.
机译:自行车运动倡导者最近认为,美国的低收入和少数民族社区的自行车道使用率极低。然而,迄今为止,数量有限的自行车道通行证据仅限于少数城市。我们通过研究22个美国大城市(n = 21,843个街区组)街区组一级的自行车道与社会人口学特征之间的横断面关联来解决这一研究差距。因变量包括自行车道的存在(是/否),覆盖范围,连通性和接近性,使用2012年至2016年间22个城市中的每个城市收集的二次GIS数据进行了测量。主要独立变量包括种族,种族,受教育程度的指标,收入,贫困和综合社会经济地位(SES)指数,均使用2011-2015年美国社区调查的数据进行衡量。在调整传统的自行车需求指标(人口和就业密度,到市区的距离,人口年龄结构,自行车)后,我们使用线性和逻辑多级混合效应回归模型来估算这些社会人口学特征与每个自行车道因变量之间的关联。通勤水平)。在未经调整的协会中,处境不利的街区群体(即,较低的SES,较高的少数族裔居民比例)进入自行车道的机会明显较低。在对自行车需求量指标进行调整之后,处于特殊类型的不利条件(受教育程度较低,西班牙裔居民比例较高,SES综合水平较低)的街区人群中,进入自行车道的比例较低,而处于其他类型的不利条件(比例较高的人群)中则没有黑人居民,较低的收入,较高的贫困)。这些结果为拥护者主张在自行车道通行方面存在差异提供了经验支持,表明在自行车规划和倡导中更紧密地考虑社会公平的重要性。

著录项

  • 来源
    《Journal of Transport Geography》 |2019年第10期|102544.1-102544.10|共10页
  • 作者单位

    Univ Illinois Dept Urban & Reg Planning 611 E Lorado Taft Dr Champaign IL 61820 USA;

    Univ Calif Berkeley Dept City & Reg Planning 230 Wurster Hall 1820 Berkeley CA 94720 USA;

    Univ North Carolina Chapel Hill Gillings Sch Global Publ Hlth Dept Nutr 135 Dauer Dr Chapel Hill NC 27599 USA|Univ North Carolina Chapel Hill Carolina Populat Ctr 23 W Franklin St Chapel Hill NC 27516 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bike lanes; Disparities; Equity; Cycling;

    机译:自行车道;差距;公平;循环;

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