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

这所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交通。该项目寻求使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，这些通勤者在临时和常规小组中一起骑车工作，提高机动性，同时解决洛杉矶目前交通基础设施的限制，洛杉矶被评为全国通勤相关工作压力最高的地区。该项目使用基于智能手机的参与式传感、摄影日志、特别小组路线规划和适合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，包括感知到的安全风险。拟议的解决方案围绕并旨在激发城市基础设施的必要缓慢变化，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”而不是其他主要的“效率”来解决这种不匹配的影响。在这项规划工作中，由大学研究人员和社区组织组成的项目团队将与居民、工人、雇主和服务机构合作，解决必要的研究问题，为我们的研究领域准备一个原型实施，包括收集有关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，愿意权衡集体骑行的意愿，现有社区关系和结构，集体身份动态，智能手机渗透率，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，该项目将展示移动智能手机如何支持集体骑自行车通勤，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），并直接解决项目征集中提出的许多挑战。该项目将社区主导的培训与云支持的智能手机工具的适度但创新的生态系统相结合，例如保护隐私的自动路线文档，数据驱动的临时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，让小组和更大的社区记录他们“成为一名骑自行车者”的过程。在移动设备和网络上不断发展的团体（以及更大的自行车社区）的数字自画像，以及去识别的安全和满意度事件的公共feed。我们的方法的关键是使用创造性的表达和自我记录来增强身份感，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的问题，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”的“症状”，并使骑自行车上班成为一种令人信服和令人满意的选择，成本更低。然后，这种经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。该项目由美国国家科学基金会和能源部车辆运输办公室合作的公民创新挑战项目Track a支持：社区和机动性：提供更好的机动性选择，解决住房负担能力和工作之间的空间不匹配。该奖项反映了美国国家科学基金会的法定使命，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.