As our cities become more complex, having the right information to manage urban mobility is more important than ever. Yet too often, cities act only after congestion and parking challenges become impossible to ignore, making decisions without fully understanding the root causes. Why? Because they lack a clear, integrated view of how mobility really works. At Arrive, we believe data is the voice of cities—it reveals their challenges and needs. That’s why data sits at the core of our solutions. So how does that work in practice?
The cost of missing insight
Cities often make decisions reactively, without a clear understanding of the underlying causes. The result is inefficiency at scale which cities and their residents feel every day. Across Europe, road congestion costs roughly 11 billion dollars annually in lost productivity, higher operating costs, and environmental impact. In Germany, drivers spend an average of 61 hours a year searching for parking, and in one small urban district, vehicles can travel 1.5 million kilometers annually while circling for a spot. These figures go beyond inconvenience. They point to a deeper, structural imbalance between supply and demand—one that cities often struggle to measure or manage. The outcome is frustration for residents, lost opportunities for local businesses, and unnecessary environmental strain.
Managing to the right level
Urban mobility operates on a supply-and-demand basis. Supply includes parking spaces, curb access, and road capacity, all of which are limited public resources, while demand comes from residents, commuters, service providers, and visitors, who respond to pricing, rules, and convenience. Effective management does not aim for full occupancy because occupying every space removes flexibility and increases the traffic caused by drivers searching for parking.
Insights from multiple cities show that roughly 85 percent occupancy represents the right balance, where infrastructure is used efficiently while spaces remain available. When parking pressure rises above this level, drivers circle longer, congestion increases, and access becomes unpredictable. When parking pressure falls below it, valuable public assets and revenue are underused. The challenge is not setting the target, but consistently balancing parking supply and demand over the long term across neighborhoods.
To achieve this balance, cities need a clear methodology applied continuously in three steps:
Measure: Cities must have access to accurate data on supply, pricing, and demand across the city at different time periods. This data should cover parking pressure, the existing mobility environment, curb use, traffic flows, and how these factors interact. Without accurate measurement, any intervention is based on assumptions rather than facts.
Understand: Data must be turned into intelligence to identify patterns, regulatory gaps, displacement effects, and emerging pressure points that may not be visible within individual departments. This step transforms raw numbers into actionable insights and highlights where intervention will be most effective.
Act: Once insights are clear, cities can adjust pricing, enforcement, regulations, and infrastructure in a targeted way, using evidence rather than anecdote or political pressure. Action is not a one-time event, but a cycle of continuous adjustment as conditions change and new data becomes available.
Many cities struggle at the first step because data is often not available or exists in separate departments such as transportation, planning, enforcement, or finance. Without integration, it cannot provide a clear picture of the system.
Denver in practice
Denver faced significant parking pressure and congestion challenges that were not fully understood by the city. By leveraging data to visualize parking demand in specific districts, city leaders uncovered several important insights:
Unexpected high parking pressure in areas previously considered stable
Inconsistent parking regulations across neighborhoods
The displacement of parking demand from paid zones into free parking areas.
This evidence helped align stakeholders such as the city council and gave the city the confidence to move forward with targeted parking policies and management strategies. This is a clear example of how data-driven insights can clarify complex urban mobility challenges and create momentum for effective action.
Data as a solution
Physical infrastructure sets capacity, but data determines performance. As cities grow and budgets tighten, expanding roads or parking delivers diminishing returns, while optimising existing assets offers far greater value. Treating mobility data as infrastructure means operating through an integrated platform that provides better insights into parking, curb use, and demand and drive data-driven policy decision making. With this visibility, leaders can anticipate shifts in pressure, test adjustments before acting, and refine policies incrementally instead of resorting to disruptive, citywide interventions.
The right data delivers benefits far beyond efficiency, enabling cities to maintain a clear, integrated view of mobility so that drivers spend less time searching for parking, emissions are reduced, businesses gain reliable access to customers, and public trust grows as decisions are guided by evidence rather than guesswork.
As cities grow more complex, continued expansion of roads and parking becomes increasingly costly and inflexible, whereas those that collect, analyze, and act on mobility data can optimize existing assets, plan with confidence and create a more livable city. Data is not optional, it is the foundation for understanding complex urban systems and acting decisively, guiding policies that benefit residents, support commerce, and align mobility with environmental and economic goals. Cities that embrace it will not only manage today’s challenges but actively shape the future of how people live, move, and experience urban life.
By Johannes Mark, Head of Global Parking Insights, Arrive