Safer streets, smarter cities: How big data is driving better planning decisions
Local authorities and city leaders are under growing pressure to reduce serious accidents, deliver visible safety improvements and prove results — often with limited budgets and competing priorities. The question is: how do you decide where to intervene first, and how do you measure what’s working, fast?
In this episode of If/When | Jacobs, we explore how transport and city planners are pairing design and policy with data-driven insights: the kinds of inputs that help explain why risk is rising in specific places, not just where collisions happened.
We’ll spotlight StreetLight Data’s U.S. Safe Streets Index, a report that ranks the 100 most populated metros using roadway-usage factors that influence safety, including Vehicle Miles Traveled (VMT), Speed Differential, Speed-based Pedestrian Risk, Truck Activity and Residential Speeding. The report is powered by billions of data points to help agencies understand exposure, speed behavior and risk in a way that supports faster, more targeted decisions.
Our guests for this episode bring the data-to-decisions story to life for planners and local governments. We’re joined by Kevin Hathaway, CEO & GM of StreetLight Data, and Katie Adnams, Global Principal & Associate Director, Smart Places at Jacobs. Together, they unpack what safer streets and smarter city designs look like when you combine planning judgment with network-wide visibility, and how councils can use these insights to prioritize interventions, strengthen business cases and track outcomes over time.
Why is road safety about more than speed?
What data sources can make streets safer?
How can cities spot risks before accidents happen?
What role will AI play in safer transport planning?
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