Gas prices impact spending: What mobility data reveals early Read article
Crash data alone misses emerging risk
Traditional crash reports lag months behind reality, limiting agencies’ ability to spot and address danger before serious incidents occur.
Safety Hub enables proactive roadway safety
By unifying behavioral, multimodal, and historical data, Safety Hub helps agencies identify risk as it develops and intervene earlier.
Driving behavior data adds critical context
Signals like speeding, hard braking, and distracted driving reveal why risk is building, not just where crashes have already happened.
Multimodal insight reflects how roads are actually used
Combining vehicle, pedestrian, and cyclist movement data creates a more holistic view of roadway conditions and exposure.
Unified data accelerates better safety decisions
What once took months of data collection and analysis can now be done in days, helping agencies prioritize investments and measure impact faster.
Nearly 40,000 people are killed on U.S. roads each year, and millions more are seriously injured. But a new collaboration between Arity and Replica can help public agencies act before tragedy occurs.
Safety Hub, a platform that provides a more comprehensive and current understanding of roadway risk, can help agencies reverse these numbers and make transportation safer in their communities.
For transportation agencies, the challenge isn’t a lack of effort, but a dearth of timely, complete insight.
Crash data has been the foundation of roadway safety programs for decades. It still plays a critical role, but it has limitations. Reports often lag by 6 to 18 months and only show where harm has already occurred, not where risk is building. That delay makes it difficult for agencies to proactively identify emerging danger spots and prioritize interventions.
Safety Hub is designed to close that gap and unlock a level of safety insight never before possible at scale. By bringing together multiple data sources into a single, unified view, the platform gives agencies the ability to see risk as it develops, not just after a serious crash has taken place.
Safety Hub integrates data from both Arity and Replica to create a more complete picture of how people and vehicles interact across the transportation system.
From Arity, the platform incorporates driving behavior data — signals like excessive speeding, hard braking, and distracted driving — captured from more than 50 million active connections and representing roughly 1 in 5 U.S. drivers.
Arity offers the world’s largest driving dataset tied to insurance claims collected through mobile devices, in-car devices, and vehicles themselves:
This scale allows for a more reliable understanding of driving behavior patterns across regions, helps reduce blind spots, and improves confidence in the insight agencies rely on to make decisions.
That behavioral layer is combined with Replica’s multimodal data, which reflects how people move through environments on foot, by bike, and by vehicle. Crash data from agency and federal sources is also included to provide historical context. The final dataset reflects the full complexity of modern transportation systems, not just vehicles in isolation.
All of this is designed to be privacy-preserving while still delivering actionable insight.
The result is a more holistic view of roadway conditions, one that accounts for both how drivers and others use the road.
One of the most meaningful shifts Safety Hub introduces is the ability to identify risk before it shows up in crash statistics.
For example, agencies can analyze where pedestrians and cyclists are most exposed to high vehicle speeds, which can increase the likelihood of severe outcomes.
Instead of waiting for incidents to occur, teams can:
For agencies balancing limited resources with ambitious safety goals, that speed and clarity can make a measurable difference.
Work that previously took months — collecting, cleaning, and analyzing disparate datasets — can now be completed in days within a single platform.
Safety Hub aligns with how transportation teams already approach safety planning, while expanding what’s possible.
The platform supports common analyses like:
By layering behavioral data on top of traditional planning frameworks, agencies gain additional context to inform decisions, helping answer not just where crashes have occurred, but how risk may be emerging in certain locations.
As Replica CEO and cofounder Nick Bowden noted, the goal is to help agencies “identify where risk is building, prioritize interventions earlier, and better understand whether safety investments are improving outcomes over time.”
At its core, Safety Hub is about enabling better decisions faster.
By giving agencies access to a unified, continuously updated view of roadway risk, the platform supports a more proactive approach to safety:
As Arity President Gary Hallgren notes, “Improving roadway safety starts with giving communities the insight they need to act before tragedy occurs. By combining our driving behavior data with Replica’s rich dataset and expertise in how people move across all modes, we’re delivering a more complete, real-time view of risk so agencies can take earlier, more effective action to save lives.”
No single dataset or tool can solve roadway safety on its own. But combining behavioral data, multimodal movement data, and historical context can bring agencies closer to that goal.
Safety Hub represents that kind of partnership – and Arity has made a strategic investment in Replica to support continued innovation and long-term collaboration.
By aligning Arity’s scale in driving behavior insights with Replica’s expertise in modeling how people move, the platform offers a new way to understand and address roadway risk.