SCC-CVIC-PG Track A: Enabling Safe, Community-wide Bike-to-Work Strategies via Participatory Sensing

这种大学与社区的合作旨在为通勤者提供最先进的积极和可持续的流动性。 该项目旨在利用基于智能手机技术的创新生态系统来发展和维持自行车通勤者社区，这些社区在临时和常规群体中共同工作，提高流动性，同时解决洛杉矶当前交通基础设施的限制，该地区被列为全国通勤相关工人压力水平最高的地区。 该项目使用基于智能手机的参与式传感，摄影日志，特设小组路线规划和适用于社区空间的动态可视化，共同帮助个人克服骑自行车通勤的障碍，包括感知的安全风险。拟议的解决方案围绕并打算激发对城市基础设施进行必要的缓慢变革，以解决住房和工作地点的“空间不匹配”，通过提高交通“满意度”来解决这种不匹配的影响，而不是通过“效率”的透镜。 在这项规划工作中，大学研究人员和社区组织的项目团队将与居民，工人，雇主和服务组织合作，解决为我们的研究区域准备原型实施所需的研究问题，包括收集有关骑自行车所有权和实践的信息，骑自行车上班的障碍，交通和住房成本，雇主对自行车共享计划的支持，愿意做出权衡，以乘坐在团体，现有的社区关系和结构，集体身份动态，智能手机的普及，以及基于智能手机的参与式传感技术的潜在作用。该项目的结果将包括第二阶段项目的研究议程和评估指标，该项目展示了移动的智能手机如何支持骑自行车的群体通勤，可以将通勤转变为安全，高效，充实和可持续的时间投资，减少车辆行驶里程（VMT），并直接解决方案征集中提出的许多挑战。该项目结合了社区-领导培训，使用云支持的智能手机工具的适度但创新的生态系统，例如保护隐私的自动路线记录，数据驱动的特设小组形成和紧急小组自行车路线的规划，促进数字日志和展览，涉及团体和更大的社区在日志中记录他们的过程“成为一个骑自行车的人”，在移动的设备和网络上可获得的群体（和更大的自行车社区）的不断发展的数字自画像，以及去识别的安全和满意度事件的公共馈送。 我们的方法的关键是使用创造性的表达和自我记录，以增强身份感，并维持我们设想的系统所带来的群体。 该合作解决了空间不匹配问题，证明了基于骑自行车的方法可以比潜在的结构条件更有效、更直接地治疗“不匹配”“症状”，并通过使骑自行车上班成为一种令人信服和满意的替代方案来降低成本。 然后，这种体验可以推动更重大的基础设施变革，以支持自行车本身，并有助于围绕更好的全通勤模式和长期的“第一英里/最后一英里”公共交通选择的公民对话。 该项目由CIVIC创新挑战计划Track A支持。社区和流动性：通过NSF和能源部车辆运输办公室之间的合作，提供更好的移动选择，以解决住房负担能力和就业之间的空间不匹配。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This university-community collaboration aims to advance the state-of-the-art in active and sustainable mobility for commuters. The project seeks to use innovative ecosystems of smartphone based technologies to grow and sustain communities of bicycle commuters that ride to work together in both ad hoc and regular groups, improving mobility while working around limitations of current transit infrastructure in Los Angeles, a region ranked as having the highest commute-related worker stress levels in the nation. This project uses smartphone-based participatory sensing, photojournaling, ad hoc group route planning, and dynamic visualizations suitable for community spaces that together help individuals overcome barriers to bike commuting, including perceived safety risks. The proposed solution works around and intends to inspire the necessarily slower changes to city infrastructure needed to address the “spatial mismatch” of housing and workplace locations, addressing the effects of that mismatch through gains in transportation “satisfaction” over the otherwise dominant lens of “efficiency.” In this planning effort, the project team of university researchers and community organizations will work with residents, workers, employers, and service organizations to address research questions necessary to prepare a prototype implementation for our study area, including gathering information on bicycling ownership and practices, barriers to bicycling to work, costs of transportation and housing, employer support for bikeshare programs, willingness to make tradeoffs to ride in groups, existing community relationships and structures, collective identity dynamics, smartphone penetration, and the potential role of smartphone based participatory sensing technology. Results of this project will include the research agenda and evaluation metrics for a Stage 2 project that demonstrates how mobile smartphone support for group commuting by bicycle can turn a commute into a safe, productive, fulfilling and sustainable time investment, reduce vehicle miles traveled (VMT), and directly address many of the challenges posed in the program solicitation.This project combines community-led training with a modest but innovative ecosystem of cloud-supported smartphone tools, such as privacy-preserving automatic route documentation, data-driven ad hoc group formation and planning of emergent group bike routes, facilitated digital journaling and exhibition that involves groups and the larger community in journaling their process of “becoming a bicyclist”, evolving digital self-portraits of the groups (and larger biking community) available on mobile devices and the web, and a public feed of de-identified safety and satisfaction incidents. Critical to our approach is this use of creative expression and self-documentation to enhance feelings of identity and sustain the groups brought together by the systems we envision. The collaboration addresses spatial mismatch by demonstrating that a cycling based approach can treat the "mismatch" “symptoms” more productively and more immediately than the underlying structural conditions and at lower cost by making bike-to-work a compelling and satisfying alternative. Then, this experience can drive more significant infrastructural change to support biking itself and contribute to the civic conversation around better models for full commute and “first mile / last mile” public transit options in the longer term. This project is supported by the CIVIC Innovation Challenge program Track A. Communities and Mobility: Offering Better Mobility Options to Solve the Spatial Mismatch Between Housing Affordability and Jobs through a collaboration between NSF and the Department of Energy Vehicle Transportation Office.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.