Counseling and Educational Psychology, College of Education, University of Nevada, Reno, NV 89557, USA.
Department of Hospital and Health Care Administration, Chia Nan University of Pharmacy and Science, Tainan 71710, Taiwan.
Int J Environ Res Public Health. 2020 Oct 20;17(20):7640. doi: 10.3390/ijerph17207640.
Using bike share could increase physical activity and improve health. This study used the social-ecological model to identify predictors of frequent bike share trips for different purposes. Participants residing in the U.S. were recruited via Amazon Mechanical Turk (MTurk). Self-report trip purposes were used to group participants into using bike share for commuting only ( = 260), social/entertainment only ( = 313), exercise only ( = 358), dual or triple-purpose ( = 501), and purposes other than commuting, social/entertainment, and exercise ( = 279). Results showed that at the intrapersonal level, perceived use of bike share to be helpful for increasing physical activity was a significant predictor for all groups, except for the other purpose group. Adjusting outdoor activity based on air quality was a significant predictor for the dual or triple-purpose group. At the interpersonal level, having four or more friends/family using bike share was a significant predictor for the other purpose group. At the community level, distance to the nearest bike share within acceptable range was a significant predictor for social/entertainment and dual or triple-purpose groups. The findings suggest that it is important to consider factors at multiple levels for predicting bike share usage. Moreover, health educators and policy makers should adopt different strategies for promoting bike share usage based on trip purposes.
使用共享单车可以增加身体活动量，改善健康。本研究使用社会生态学模型来确定不同目的的共享单车高频次使用的预测因素。参与者通过亚马逊 Mechanical Turk（MTurk）在美国招募。根据自我报告的出行目的，将参与者分为仅用于通勤（=260）、仅用于社交/娱乐（=313）、仅用于锻炼（=358）、双重或三重目的（=501）以及非通勤、社交/娱乐和锻炼目的（=279）。结果表明，在个体层面上，认为共享单车对增加身体活动有帮助是所有群体（其他目的群体除外）的一个显著预测因素。根据空气质量调整户外活动是双重或三重目的群体的一个显著预测因素。在人际层面上，有四个或更多朋友/家人使用共享单车是其他目的群体的一个显著预测因素。在社区层面上，最近的共享单车在可接受范围内的距离是社交/娱乐和双重或三重目的群体的一个显著预测因素。研究结果表明，预测共享单车使用情况时，考虑多个层面的因素非常重要。此外，健康教育者和政策制定者应根据出行目的，采取不同的策略来促进共享单车的使用。
