The Problem: MATA is charged with becoming a data driven organization
For any traditional mobility organization, going digital and becoming data driven isn’t just about data. It’s about wrangling new sources of funding, understanding and staffing new types of jobs and overhauling management’s philosophy around data and how it can be used to improve mobility for everyone.
The team at MATA knew business as usual would no longer cut it. Every month, their team was burning critical time tracking down siloed data, consolidating reports into spreadsheets and backing into required metrics. By the time they delivered reports to the CEO, the BOD, the city, surrounding counties and the FTA’s National Transit Database, they were error prone and no longer relevant to drive confident, real-time decisions.
Success required a partner that could address three critical issues:
- Sourcing, organizing and analyzing siloed and disparate data
- Automating 13 manual performance measure reporting processes
- Creating data transparency through simpler accessibility
- Expertise in mobility strategy for transit planning
Solution: MATA partners with Urban SDK to automate reporting, deliver real time performance measurements and drive data and decision confidence using a simple, accessible platform.
We began our relationship with MATA by defining 1) the critical performance indicators 2) existing technical systems and 3) the manual processes required to produce monthly reporting. Once we understood MATA’s requirements, we began to index transit system data from vehicle locations, route scheduling, route planning, scheduling, fare, maintenance and customer support systems to create and centralize a MATA data warehouse for real-time analytics, common data modeling and developer API accessibility.
In collaboration with MATA, Urban SDK developed a transit and mobility analytics platform (and a single source of the truth) that would serve public transportation organizations, civil engineers, and local governments.
The Results: Performance Measurement On Demand.
The combination of predictive trend analysis and data interoperability empowers modern transit operators to focus on business outcomes, accessibility and providing mobility as a service.
MATA now automates more than 50 performance measures from an index of complex transit business, ridership, performance and mobility mode data. Data is indexed locally from sensors, transit systems, and historical data, merging seamlessly with connected and open data sources such as ride hailing, car share, micro-mobility and payment data.
Ongoing Value: Automated Data Reporting, Confidence & Transparency in Real Time
MATA now automates 50+ performance indicators and can review, share, and update them instantly. Additionally, MATA has a developer API and data export capabilities to easily share data with the City, County and any partner organization for performance measurement, trip planning or general mobility as a service capabilities.
A lot of our current information is siloed across the organization. We’re excited that Urban SDK can help us report standard transit data, ridership statistics, and other key performance measurements. The benefit is that it saves us time and provides a useful way to harness current available technology that will help us report data more efficiently
John Lancaster, Director of Planning and Scheduling
Performance Indicators & Metrics
- Ridership (By Mode, Route, Time Period)
- On Time Performance (By Operator, Mode, Route, Time Period)
- Demand Response (Trips, Trip Miles, Origin and Destination)
- Customer Satisfaction ( By Mode, Time Period, Miles)
- Vehicle Revenue Miles
- Passenger Revenue Miles
- Passengers per Revenue Miles
- Total Miles
- Monthly Boardings
- Route and Schedule Adherence
- Customer Services
- Fare Collection Systems
- ERP Systems
- GTFS (Route schedule)
- GBFS (Bike share)
- MDS (Scooter share)
Urban SDK provides transit and mobility analytics for public transportation organizations, civil engineers, and local governments. Transit organizations can automate 200+ performance measures from an index of complex transit business, ridership, performance and mobility mode data. Data is indexed locally from sensors, transit systems, and historical data and merged with emerging connected and open data sources such as ride hailing, car share, micro-mobility and payment data.