Bopp Melissa, Gayah Vikash V, Campbell Matthew E
Department of Kinesiology, The Pennsylvania State University, University Park, PA 16802, USA.
Department of Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA 16802, USA.
Int J Environ Res Public Health. 2015 Apr 17;12(4):4256-74. doi: 10.3390/ijerph120404256.
An established relationship exists between public transportation (PT) use and physical activity. However, there is limited literature that examines the link between PT use and active commuting (AC) behavior. This study examines this link to determine if PT users commute more by active modes.
A volunteer, convenience sample of adults (n = 748) completed an online survey about AC/PT patterns, demographic, psychosocial, community and environmental factors. t-test compared differences between PT riders and non-PT riders. Binary logistic regression analyses examined the effect of multiple factors on AC and a full logistic regression model was conducted to examine AC.
Non-PT riders (n = 596) reported less AC than PT riders. There were several significant relationships with AC for demographic, interpersonal, worksite, community and environmental factors when considering PT use. The logistic multivariate analysis for included age, number of children and perceived distance to work as negative predictors and PT use, feelings of bad weather and lack of on-street bike lanes as a barrier to AC, perceived behavioral control and spouse AC were positive predictors.
This study revealed the complex relationship between AC and PT use. Further research should investigate how AC and public transit use are related.
公共交通（PT）的使用与身体活动之间存在既定的关系。然而，研究PT使用与主动通勤（AC）行为之间联系的文献有限。本研究考察这种联系，以确定PT使用者是否更多地采用主动出行方式通勤。
一个由成年人组成的志愿者便利样本（n = 748）完成了一项关于AC/PT模式、人口统计学、心理社会、社区和环境因素的在线调查。t检验比较了PT使用者和非PT使用者之间的差异。二元逻辑回归分析考察了多种因素对AC的影响，并进行了一个完整的逻辑回归模型来研究AC。
非PT使用者（n = 596）报告的AC比PT使用者少。在考虑PT使用情况时，人口统计学、人际、工作场所、社区和环境因素与AC存在若干显著关系。逻辑多变量分析纳入年龄、子女数量和感知到的工作距离作为负向预测因素，PT使用情况、恶劣天气感受和缺乏街边自行车道作为AC的障碍、感知行为控制和配偶的AC作为正向预测因素。
本研究揭示了AC与PT使用之间的复杂关系。进一步的研究应调查AC与公共交通使用之间的关系。
