SCC-CIVIC-FA Track A: CiBiC

Cibic(公民自行车通勤)通过使用社区驱动的团体自行车系统，增加愿意骑自行车上班的人数，解决了空间不匹配差距。我们认为，骑自行车将提高交通满意度，降低交通成本，并增加应对就业和住房机会的灵活性，而我们独特的技术-社会、网络物理方法将增强招聘和留住，促进社区参与，并为未来的实体自行车基础设施计划提供信息。这项研究位于加利福尼亚州洛杉矶的一个试点研究区域内，那里的居民主要是收入较低的有色人种。它将支持他们的社区组织聚集在一起，与自行车倡导者一起帮助设计和执行该方法，并与大学和行业合作者合作，这种模式将提高项目内的参与度和项目以外的适用性。Cibic将设计和部署一款云支持的移动应用程序，让社区参与组织需求感知的自行车“流”，即分组通勤走廊。它的目标是产生新兴的自行车到工作的实践社区，一起通勤，将技能较低的骑手与经验丰富的骑手配对，并可以整合电动自行车，以增强包容性。交通流量的规划围绕着享受性和骑自行车能力，以及效率和公共交通的连通性。乘客将使用Cibic应用程序以小组形式加入这些流量，以提高安全性并促进采用。参与的自行车通勤者还被邀请通过参与性的数据驱动的公共艺术组件共同创建该系统本身，该组件提供流量以及吊舱和骑手在其中的活动的可视化。这促进了社区成员的参与，这将影响这个项目和未来的系统设计。参与式公共艺术作品将在公共空间展示，如交通枢纽和社区中心，为参与提供切入点，并激发集体反思、评估和共同设计。Cibic将智能手机应用程序的日常支持与新颖的、数据驱动的Create Expression相结合，以增强集体认同感、包容性和所有权，并保持其载客量。它的路线规划强调比出行效率更广泛的衡量标准，为路线规划提供了额外的自由度，这可能会对地图和导航工具产生持久的影响。通过探索潜在的机器学习支持，以根据当地交通需求在新地点出现和调整新流量，Cibic旨在最大限度地提高未来的可扩展性、可转移性和影响力。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

CiBiC (Civic Bicycle Commuting) addresses the spatial mismatch gap by increasing the number of people who are willing to bike to work, using a community-driven group bicycling system. We propose that biking will increase transportation satisfaction, lower transportation costs, and increase flexibility to respond to employment and housing opportunities, while our unique technosocial, cyberphysical approach will enhance recruitment and retention, foster community engagement, and inform future plans for physical bicycling infrastructure. The research is situated in Los Angeles, California, within a pilot study area whose residents are predominantly lower income people of color. It brings together community organizations that support them with bicycling advocates to help design and execute the approach in partnership with university and industry collaborators, a model that will improve engagement within the project and applicability beyond it. CiBiC will design and deploy a cloud-supported mobile app that engages communities in organizing demand-aware bike "flows", or group commuting corridors. It aims to generate emergent bike-to-work communities of practice that commute together, pair less skilled riders with more experienced ones, and can incorporate eBikes to enhance inclusion. Flows are planned around enjoyment and "bikability" as well as efficiency and connectivity to public transportation. Riders will use the CiBiC app to join these flows in small groups to increase safety and facilitate adoption. Participating bicycle commuters are further invited to co-create the system itself through a participatory data-driven public art component that provides visualization of flows and the activity of pods and riders within them. This promotes participation of community members that will influence both this project and future system designs. The participatory public artwork will be displayed in public spaces, such as transit hubs and community centers, providing entry points for engagement and stimulating collective reflection, evaluation, and co-design. CiBiC combines the day-to-day support of a smartphone app with novel, data-driven create expression to enhance feelings of collective identity, inclusion and ownership and sustain its ridership. Its route planning emphasizes a broader range of metrics than trip efficiency, providing additional degrees of freedom for route planning that could have lasting impact on mapping and navigation tools. With its exploration of potential machine learning support for emergence and tuning of new flows in new locations based on local transportation demand, CiBiC aims to maximize future scalability, transferability, and impact.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.