The societal reliance on motorised transport is negatively affecting the health of humans and the environment. Active travel provides a unique solution to both issues by removing the number of motorised vehicles on the road, while also increasing physical activity rates. Interventions that encourage greater uptake of active travel are considered to be highly beneficial to society. This systematic review of the literature sought to provide evidence to answer the question which behavioural interventions increase commuter cycling? Five databases were searched to identify articles that tested a behavioural intervention to increase commuter cycling. Article parameters were defined from the literature and in consultation with the research team. Study selection, quality appraisal and data extraction were undertaken using Covidence. The final 25 articles revealed that personalised travel plans and mobile phone-based platforms were the most common interventions. Unvalidated travel surveys were the most widely used mode of data collection. Modest increases in commuter cycling were observed across studies; however, the heterogeneity of study designs and reporting of results did not allow aggregation of findings. This review highlights the need for high quality behavioural science research into active travel. This will assist us to better understand the most effective interventions that increase levels of commuter cycling, subsequently improving environmental and human health.

社会对机动交通的依赖正在对人类健康和环境产生负面影响。主动旅行为这两个问题提供了独特的解决方案，即减少道路上机动车辆的数量，同时提高身体活动率。鼓励更多人积极旅行的干预措施被认为对社会非常有益。这项对文献的系统回顾旨在提供证据来回答以下问题：哪些行为干预措施会增加通勤骑自行车？我们搜索了五个数据库，以确定测试行为干预以增加通勤骑车次数的文章。文章参数是根据文献并与研究团队协商确定的。研究选择、质量评估和数据提取均使用 Covidence 进行。最后 25 篇文章显示，个性化旅行计划和基于手机的平台是最常见的干预措施。未经验证的旅行调查是最广泛使用的数据收集方式。各项研究均观察到骑自行车通勤的人数略有增加；然而，研究设计和结果报告的异质性不允许汇总研究结果。这篇评论强调了对主动旅行进行高质量行为科学研究的必要性。这将帮助我们更好地了解提高通勤自行车水平的最有效干预措施，从而改善环境和人类健康。