8:00 AM
Morning rushFlow #01 · Commute · Springfield, MA
Watch a city wake up.
Hour-by-hour commute flow across the Springfield metro area — 474,000 worker movements by place and time.
Daily rhythm
Springfield, hour by hour
Workers peak before 9 AM. The city exhales through the afternoon.
InboundOutbound
What you're looking at
We see workers, not devices.
Block × Hour
Not a daily average
A per-hour count for every block — how many workers, which direction, what time.
When it peaks
7am or 9am?
The answer changes by neighborhood. See the exact shape of each commute window.
Workers + households
Demographics on both ends
Earnings, education, age — at the home origin and the work destination. Not just counts.
The dataset behind the demo
Springfield is the view.
Massachusetts is the model.
The commute surface covers the entire state — every H3 cell, every hour of the commute window, with workforce and household demographics attached to each one.
31K+
H3 cells
Statewide, H3 resolution 8
AM→PM
Full commute window
Every hour from pre-dawn to evening
474K
Worker movements
Commute paths statewide — origin, destination, and hour.
Not census
Active workforce data
LODES-grade signal. Updated, not a five-year survey snapshot.
Massachusetts · 5pm · commute intensity per H3 cell
Your data + ours
Three places where commute flow
becomes a decision.
01Real estate
See who actually works near your site
“You're underwriting based on who slept there in the last census.”
Workforce density by hour, commute distance, income — anchored to the block, not the zip code.
02Mobility planning
See the full commute window
“Your traffic model goes dark before 8am and after 6pm.”
Early morning to evening wind-down. Inbound and outbound signal across every corridor, hour by hour.
03Retail & site selection
Find where purchasing power shows up during the day
“Residential foot traffic models miss who's there at noon.”
Commuter density, workforce earnings, and no-car share — before you sign the lease.
Bring your data.
We bring the where and the when.