Driven to Support: Individual- and County-Level Factors Associated With Public Support for Active Transportation Policies

Author:

Cradock Angie L.1,Barrett Jessica L.1,Chriqui Jamie F.2,Evenson Kelly R.3,Goins Karin Valentine4,Gustat Jeanette5,Heinrich Katie M.6,Perry Cynthia K.7,Scanze Michele8,Schmid Thomas L.9,Tabak Rachel G.10,Umstattd Meyer M. Renee11,Valko Cheryl10

Affiliation:

1. Department of Social and Behavioral Sciences, Harvard T. H. Chan School of Public Health, Boston, MA, USA

2. Division of Health Policy and Administration, School of Public Health and the Institute for Health Research & Policy, University of Illinois at Chicago, Chicago, IL, USA

3. Department of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA

4. Division of Preventive and Behavioral Medicine, University of Massachusetts Medical School, Worcester, MA, USA

5. Department of Epidemiology; Prevention Research Center, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA

6. Department of Kinesiology, Kansas State University, Manhattan, KS, USA

7. Oregon Health & Science University School of Nursing, Portland, OR, USA

8. College of Architecture, Planning and Landscape Architecture, University of Arizona, Tucson, AZ, USA

9. Physical Activity and Health Branch, Centers for Disease Control and Prevention, Atlanta, GA, USA

10. Prevention Research Center, Brown School at Washington University in St Louis, St Louis, MO, USA

11. Department of Health, Human Performance, & Recreation, Baylor University, Waco, TX, USA

Abstract

Purpose: To assess predictors of stated support for policies promoting physically active transportation. Design: Cross-sectional. Setting: US counties selected on county-level physical activity and obesity health status. Participants: Participants completing random-digit dialed telephone survey (n = 906). Measures: Survey measures assessed stated support for 5 policies to promote physically active transportation, access to active transportation facilities, and time spent in a car. County-level estimates included household car dependence and funding for bicycle–pedestrian projects. Analysis: Multivariable generalized linear mixed models using binary distribution and logit link, accounting for clustering within county. Results: Respondents supported policies for accommodating bicyclists and pedestrians through street improvements (89%), school active transportation programs (75%), employer-funded active commuting incentives (67%), and allocation of public funding (68%) and tax support (56%) for building and maintaining public transit. Residents spending >2 h/d (vs <0.7 hours) in cars were more likely to support street (odds ratio [OR]: 1.87; confidence interval [CI]: 1.09-3.22) and public transit (OR: 1.85; CI: 1.24-2.77) improvements. Residents in counties investing >$1.6 million in bicycle and pedestrian improvements expressed greater support for funding (OR: 1.71; CI: 1.04-2.83) and tax increases (OR: 1.73; CI: 1.08-2.75) for transit improvements compared to those with lower prior investments (<$276 100). Conclusion: Support for policies to enable active transportation is higher where relevant investments in active transportation infrastructure are large (>$1.6 M), public transit is nearby, and respondents drive >2 h/d.

Publisher

SAGE Publications

Subject

Public Health, Environmental and Occupational Health,Health (social science)

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3