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Mobile GR proposes data-driven Neighborhood Traffic Calming Program with public GIS and equity scoring
Summary
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.
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.
"The current program is completely resident driven," Bartlett said. "We're looking to create a proactive data driven process that tells us where to go and bring those potential solutions to neighborhoods." He described adding an equity component, sidewalk and transit proximity, and new traffic measures such as average speed, percent of vehicles…
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