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MDS is a framework for standardizing and sharing mobility data that agencies and operators can use. It helps operators and cities exchange information in a standard format so they can ingest data and build systems to understand program success. MDS has three sub-specifications: Provider, Agency and Policy.
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In our previous post about MDS feed health and interpretation challenges, we discussed MDS feed health and challenges to interpreting your feed. Now we will take a look at when the data itself is problematic, and some things to consider when troubleshooting.
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In the first blog post in this series, Introduction to Mobility Data Specification (MDS), we discussed what MDS is and broke down the specification.
For micromobility programs that are getting set up with MDS or looking to ensure their data aligns with the spec, there are a lot of ways it can diverge; some are more critical than others. They all start with the question: how do you know if your data adheres to MDS?
One of the most important aspects of launching and sustaining a successful micromobility program is being able to make data-informed decisions to achieve a program’s objectives. To create a foundation of trust and to build a common methodology for understanding and utilizing data, cities and operators need a data sharing standard — that’s where MDS comes in.
Over several weeks, Ride Report hosted Micromobility Fireside Chats, a webinar series you can enjoy from anywhere, and, most importantly, in the comfort of your own home.
The Ride Report team
Today, Ride Report is excited to announce a raise of $10 million in Series A funding, in a round led by Unusual Ventures.
This partnership allows us to deepen our commitment to helping cities to provide safe, equitable, and environmentally efficient transportation options to their communities.
Ride Report certification is the micromobility industry’s first MDS auditing service. By scoring operators based on their performance against rigorous data benchmarks, our service helps cities with the difficult and error-prone process of knowing which operators are meeting their compliance requirements.
