Leveraging Data to Improve City Streets
Convening public and private partners to support effective and secure mobility data sharing.
Our Mission
The Mobility Data Collaborative
is a multi-sector forum where mobility partners gather to establish a framework for mobility data sharing. Our partners share a joint vision of leveraging mobility data to promote safe, equitable, and livable streets for all.
Our six Guiding principles
Foster Inclusivity and Equality
Embrace Collaboration
Support Wide Adoption
Complement, Not Duplicate
Act with Urgency
Challenge Ourselves
Our Work
We believe our work will serve as critical resources for mobility stakeholders to utilize as data sharing becomes more widespread across regions and other forms of shared mobility. Our long history of developing widely-adopted standards provides an avenue to rapidly develop and share principles and best practices.
Defining Performance Metrics
Regulators—from policymakers to infrastructure managers and planners—rely on data to make decisions. It is imperative that performance metrics are consistent across operators and regions. Then, regulators and operators have a clear understanding of how to work together to successfully meet public goals and requirements.
The Collaborative is developing a set of standardized definitions and methodologies for performance metrics, such as "vehicle counts" and "vehicle caps." Establishing common terms, definitions and methodologies enables all stakeholders to effectively communicate and measure the impact of new forms of mobility.
Protecting Data Privacy
Emerging mobility options present new and promising opportunities to leverage data in support of local transportation management and infrastructure planning. However, the volume and granularity of location data needed to operate many of these new transportation modes present a corresponding risk to individual privacy when shared in the absence of a supportive legal framework with standard anonymization and aggregation techniques.
Additionally, the resources needed to properly and produce, process, and ingest this data—which exist in many different formats—can be incredibly resource-intensive for public and private parties alike. This workstream aims to rigorously assess these privacy risks and engage experts in the field to develop a privacy-centric framework for location data sharing—one that can unlock the insights cities seek from multiple transportation modes and grow to accommodate other sectors and new technologies as they emerge.