Driven to Support: Individual- and County-Level Factors Associated With Public Support for Active Transportation Policies
dc.contributor.author | Cradock, Angie L. | |
dc.contributor.author | Barrett, Jessica L. | |
dc.contributor.author | Chriqui, Jamie F. | |
dc.contributor.author | Evenson, Kelly R. | |
dc.contributor.author | Goins, Karin V. | |
dc.contributor.author | Gustat, Jeanette | |
dc.contributor.author | Heinrich, Katie M. | |
dc.contributor.author | Perry, Cynthia K. | |
dc.contributor.author | Scanze, Michele | |
dc.contributor.author | Schmid, Thomas L. | |
dc.contributor.author | Tabak, Rachel G. | |
dc.contributor.author | Umstattd Meyer, M. Renee | |
dc.contributor.author | Valko, Cheryl | |
dc.date | 2022-08-11T08:10:19.000 | |
dc.date.accessioned | 2022-08-23T17:04:31Z | |
dc.date.available | 2022-08-23T17:04:31Z | |
dc.date.issued | 2018-03-01 | |
dc.date.submitted | 2018-09-05 | |
dc.identifier.citation | <p>Am J Health Promot. 2018 Mar;32(3):657-666. doi: 10.1177/0890117117738758. Epub 2017 Nov 6. <a href="https://doi.org/10.1177/0890117117738758">Link to article on publisher's site</a></p> | |
dc.identifier.issn | 0890-1171 (Linking) | |
dc.identifier.doi | 10.1177/0890117117738758 | |
dc.identifier.pmid | 29108441 | |
dc.identifier.uri | http://hdl.handle.net/20.500.14038/44653 | |
dc.description.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. | |
dc.language.iso | en_US | |
dc.relation | <p><a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=29108441&dopt=Abstract">Link to Article in PubMed</a></p> | |
dc.relation.url | https://doi.org/10.1177/0890117117738758 | |
dc.subject | active tranpsort | |
dc.subject | active transportation | |
dc.subject | car use | |
dc.subject | driving | |
dc.subject | physical activity | |
dc.subject | policy | |
dc.subject | public transit | |
dc.subject | Behavioral Medicine | |
dc.subject | Behavior and Behavior Mechanisms | |
dc.subject | Community Health and Preventive Medicine | |
dc.subject | Health Policy | |
dc.subject | Health Psychology | |
dc.subject | Preventive Medicine | |
dc.subject | Public Health Education and Promotion | |
dc.subject | Transportation | |
dc.title | Driven to Support: Individual- and County-Level Factors Associated With Public Support for Active Transportation Policies | |
dc.type | Journal Article | |
dc.source.journaltitle | American journal of health promotion : AJHP | |
dc.source.volume | 32 | |
dc.source.issue | 3 | |
dc.identifier.legacycoverpage | https://escholarship.umassmed.edu/prc_pubs/94 | |
dc.identifier.contextkey | 12790163 | |
html.description.abstract | <p>PURPOSE: To assess predictors of stated support for policies promoting physically active transportation.</p> <p>DESIGN: Cross-sectional.</p> <p>SETTING: US counties selected on county-level physical activity and obesity health status.</p> <p>PARTICIPANTS: Participants completing random-digit dialed telephone survey (n = 906).</p> <p>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.</p> <p>ANALYSIS: Multivariable generalized linear mixed models using binary distribution and logit link, accounting for clustering within county.</p> <p>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).</p> <p>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.</p> | |
dc.identifier.submissionpath | prc_pubs/94 | |
dc.contributor.department | Prevention Research Center | |
dc.contributor.department | Division of Preventive and Behavioral Medicine | |
dc.source.pages | 657-666 |