Low-income communities and communities of color have been historically oppressed within transportation planning, including planning for active transportation (AT) which they use at high rates. Emerging mobility data enabled by smartphone technology and shared mobility services has been suggested as a potential solution to increase representation of these groups, although some of these data sources may in fact reinforce existing biases. The Mobility Data for Safer Streets Initiative equipped advocates with data tools to support their efforts to make streets safer for AT. Many of their data uses did highlight the needs of underserved communities. This research leveraged data from the program evaluation to understand emerging data use cases and applications related to promoting equity in AT planning and characteristics of the data tools that are supportive or inhibitive of these purposes. Results can inform emerging mobility data providers and support practitioners to improve street safety for all AT users.

低收入社区和有色人种社区历来在交通规划中受到压迫，包括他们使用率很高的主动交通 (AT) 规划。由智能手机技术和共享移动服务支持的新兴移动数据已被建议作为增加这些群体代表性的潜在解决方案，尽管其中一些数据源实际上可能会加剧现有的偏见。更安全街道计划的移动数据为倡导者提供了数据工具，以支持他们为 AT 使街道更安全所做的努力。他们的许多数据使用确实突出了服务欠缺社区的需求。这项研究利用来自计划评估的数据来了解与促进 AT 规划中的公平性相关的新兴数据用例和应用，以及支持或抑制这些目的的数据工具的特征。结果可以告知新兴的移动数据提供商并支持从业者改善所有 AT 用户的街道安全。