Matt Darst

Matt Darst, JD, leads an innovative data science team that champions the power of data to drive transformative change in urban mobility. Together, we empower cities with critical curb lane insights, enabling smarter, data-driven decisions to improve safety and reduce congestion. We've pioneered award-winning solutions, including asset-light data-gathering technologies, predictive algorithms for occupancy and compliance, demand-based pricing models, and the strategic allocation of enforcement resources to promote fairness and equity. Prior to transitioning to the private sector, Darst served as the First Deputy Director of the City of Chicago’s Revenue Department, where he played a key role in shaping and implementing impactful public policies.

Insights

Optimizing Parking Citation Collections for Maximum Revenue and Compliance

Parking authorities around the world face the challenge of efficiently collecting parking fines while balancing revenue goals and public...

Read More

Collecting Parking Fines Sooner Can Boost Revenue and Mitigate Risk

Parking ticket collections can be a challenging process, with city officials often struggling to decide when to act. Many hesitate to initiate early...

Read More

Improving Parking Enforcement Officer (PEO) Scheduling

Many cities struggle with inefficient parking enforcement scheduling, leading to inconsistent enforcement and missed opportunities to deter...

Read More

Optimizing Parking Meter Placement with Data-Driven Insights

As cities invest in parking modernization to improve the curbside experience, one key focus has been the installation of multi-space parking meters...

Read More