Title

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

UMMS Affiliation

Division of Preventive and Behavioral Medicine; UMass Worcester Prevention Research Center

Publication Date

2018-03-01

Document Type

Article

Disciplines

Behavioral Medicine | Behavior and Behavior Mechanisms | Community Health and Preventive Medicine | Health Policy | Health Psychology | Preventive Medicine | Public Health Education and Promotion | Transportation

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.

Keywords

active tranpsort, active transportation, car use, driving, physical activity, policy, public transit

DOI of Published Version

10.1177/0890117117738758

Source

Am J Health Promot. 2018 Mar;32(3):657-666. doi: 10.1177/0890117117738758. Epub 2017 Nov 6. Link to article on publisher's site

Journal/Book/Conference Title

American journal of health promotion : AJHP

Related Resources

Link to Article in PubMed

PubMed ID

29108441

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