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Menlo Park debates 'Slow Streets' proposal as residents urge quicker, low-cost fixes
Summary
City staff pitched a data-driven 'Slow Streets' program to replace the longtime neighborhood traffic management program; residents urged quicker, low-cost 'quick builds' and councilors probed scoring, data sources, and equity in prioritization. Staff will return in April with a recommended adoption as a consent item and an informational progress report.
City staff on March 10 presented a proposed Slow Streets program intended to replace Menlo Park’s Neighborhood Traffic Management Program, proposing a point-based, data-driven framework to prioritize traffic-calming projects across residential streets.
Senior transportation planner Katrine Maki told council the program would remove petition requirements, use a batched review cycle and score eligible street segments by measurable safety indicators: one point for every mile-per-hour the 80th-percentile speed exceeds 25 mph, two points for each injury collision in the past three years (from the Safetrek collision database), and one point per 500 vehicles above a 750 weekday annual average. Vehicle speed and volume estimates would come from Streetlight, an anonymized mobility data platform; staff said tube-count validation would be used selectively where needed.
The proposal lays out three…
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