Mobile GR proposes data-driven Neighborhood Traffic Calming Program with public GIS and equity scoring
The Mobile GR department presented a shift from resident-initiated requests to a proactive, data-driven Neighborhood Traffic Calming Program that adds equity, sidewalk/transit proximity and new traffic metrics, and will pilot designs in 12 neighborhoods with public GIS transparency and neighborhood meetings before votes.
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John Bartlett, the city transportation engineer, outlined a proposed overhaul of Grand Rapids’ Neighborhood Traffic Calming Program on Dec. 4, saying the current resident-driven system will be replaced by a proactive, data-driven process that prioritizes locations using a neighborhood score, crash data and expanded traffic measures.
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