Organizing for TSMO
Case Study 3: Performance Measurement – Making Data-driven Transportation Decisions Using Performance Measures

CHAPTER 3 – SUMMARY

Each transportation agency has different approaches and needs when addressing performance measurement. For some agencies, the emphasis is on data collection and storage, while others place emphasis on data analytics and processing. Both of these components are important when expressing the value of the TSMO program. Collecting and analyzing large amounts of data requires special systems and infrastructure that necessitates dedicated staff and funding. The agencies interviewed for this case study had key lessons learned that support advancement of performance measurement in their TSMO programs:

• Creating a Performance Measures Plan can help an agency align its goals with steps that need to be performed to achieve those goals. Assessing agency needs and deciding how to address those needs in a clear manner helps streamline the process of integrating performance measurement.
• Data is a powerful tool that can be used to drive discussions in many areas of an agency. Taking information that was previously unknown or not distributed and presenting it in a way that is easy to process or visualize can spur big improvements and efficiencies within an agency.
• Acquiring the necessary data equipment and systems and configuring it in an optimal and efficient way is the foundation for effective performance measurement. Having robust data storage and analytic systems can improve the functionality and efficiency of a performance measurement program.

When identifying performance measures as they relate to TSMO, agencies should look at existing data capabilities to track metrics until other resources that improve capturing performance measures become available. Other agencies are encouraged to use the best practices identified in this case study to assist with maturing or developing their own performance measurement initiatives.