Bopp Melissa, Kaczynski Andrew T, Campbell Matthew E
Department of Kinesiology, The Pennsylvania State University, State College, PA, USA.
Am J Health Behav. 2013 Jul;37(4):543-54. doi: 10.5993/AJHB.37.4.12.
To examine influences on active commuting (AC) behavior using a social ecological framework.
Participants (N = 1234) responded to an online survey about AC patterns and social ecological influences on AC. Multiple regression analysis determined the relative influence of individual, interpersonal, institutional, community, and environmental levels on AC.
Significant relationships were found between AC and individual, interpersonal, institutional, community, and environmental influences; 70% of the variance in AC was explained with the full model.
The social ecological model provides a framework for understanding a range of influences on AC and should inform strategies to improve AC behavior.
运用社会生态框架研究对主动通勤行为的影响。
参与者（N = 1234）对一项关于主动通勤模式及社会生态对主动通勤影响的在线调查做出回应。多元回归分析确定了个人、人际、机构、社区和环境层面因素对主动通勤的相对影响。
发现主动通勤与个人、人际、机构、社区和环境影响因素之间存在显著关系；完整模型解释了主动通勤70%的方差变异。
社会生态模型为理解一系列影响主动通勤的因素提供了框架，应为改善主动通勤行为的策略提供依据。
