Cities are facing various challenges: congestion, a growing number of cars and limited space. Cities are lacking data about their parking infrastructure & their parking situation to tackle these challenges. The presentation shows how new technology enables data-driven policy decision making.

Parking management in cities poses multifaceted challenges, from outdated inventory data to ineffective enforcement. Without accurate information, cities struggle to allocate parking efficiently, leading to congestion and underutilization. Zone expansions without data analysis worsen the problem, often resulting in mismatches between supply and demand. The lack of occupancy data hinders enforcement efforts, leading to arbitrary measures and frustration among residents. Our approach emphasizes providing cities with precise parking data insights through advanced analytics.

With accurate data, cities can implement evidence-based policies, optimize zone expansions, and improve enforcement effectiveness. This data-driven approach promotes sustainable transportation and enhances urban livability, ultimately improving the quality of life for residents and visitors.