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Go beyond crash data with mode and trip volume data that helps you distinguish between busy intersections and dangerous ones. Prioritize equity with privacy-preserving income and demographic data.
Identify safety interventions where it is needed the most.
Analyze more than crash data and see where, why, and how people travel.
Marginalized communities are at risk on streets that extend beyond their home communities. Replica data allows us to match trips of Communities of Concern residents to cities' High Injury Networks creating a more holistic approach to safety and equity concerns. Visit our blog to learn more.
Replica data is used to visualize all of New York City’s most dangerous intersections and what intersections to prioritize for safety improvements. Visit our blog to learn more.
Replica’s mobility and land use data was used to help Alta’s clients understand existing conditions and identify next steps for investing effectively in active transportation.
Replica’s data can also be used to normalize severe injury and fatality crash data to go beyond where crashes are happening, and determine where road users are most at risk. Paired with neighborhoods where vulnerable populations reside, this quick analysis can augment a traditional high injury network street prioritization by layering in vulnerable population volumes. For an example of such an investigation, please refer to Replica’s SS4A Webinar and blog post featuring the city of Atlanta.
In this webinar we discussed:
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3610 W. 95th Street
Leawood, KS. 66206
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