Insights

The latest news, including recent insights and updates and case studies from Trellint.

Enable curbside chaos or encourage streamlined efficiency?

How data science transforms curbside management, helping cities reduce congestion, improve efficiency, and make smarter, data-driven decisions.

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Case Study: Boosting City Parking Revenues in Oakland through Targeted Citation Notification Programs

Learn how data-driven parking citation collection improves revenue, reduces costs, and increases payment rates through targeted noticing strategies.

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We Move this City: Chicago’s Smarter—and Safer—Streets

How Chicago’s Smart Streets program uses automated enforcement to improve safety, reduce congestion, and keep bus and bike lanes clear.

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Curbing Chaos: Navigating Data Science Procurements to Improve Curb Use

Learn how cities apply data science to improve curbside management, overcome data challenges, and optimise operations and decision-making.

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Aligning Fines with Social Harm: A Path to Equity in Parking Enforcement

Learn how cities are redesigning parking fines using data to align with social harm, reduce inequity, and improve compliance and revenue.

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Navigating Curbside Chaos: Parking Strategies for Mega Events

Explore strategies for managing curbside operations during large events using data, demand management, and connected technology to improve traffic flow and safety.

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