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The Urban Mobility Scorecard (and Beyond)
Bill Eisele, Ph.D., P.E. Texas A&M Transportation Institute
Senior Research Engineer & Program Manager
2016 TxDOT Environmental Conference September 13, 2016 Corpus Christi, Texas
http://mobility.tamu.edu
My Key Messages
• Data are improving to help agencies tell their story of person and goods movement (and investment needs)
• There are “battle-tested” methods and measures available (using these improving datasets) – Urban Mobility Scorecard (national example)
– Texas 100 Most Congested Roadways (local)
• These measures, methods and data are readily available to you
The rest are details….some of which follow
http://mobility.tamu.edu
Why Mobility Analysis? So we can…
• …identify when, where, how people and goods are moving
• …identify congested locations & bottlenecks in the system
• …inform project prioritization/selection
• …identify impacts of situation & solutions
• …inform performance management (target setting)
• …and because it’s the right thing to do!
http://mobility.tamu.edu
Why Mobility Analysis? (Part 2) Situational Awareness
• Manipulating “big mobility data” and creating mobility information all audiences can understand
Messaging
• Developing messages that inform decision-making
Communicating (Marketing!)
• Helping communicate what you are doing, and why
http://mobility.tamu.edu
How Do We (You) Perform Mobility Analysis?
• Data acquisition, licensing – Cost depends on data temporal/spatial type
– Speeds vs. origin-destination data (not….yet)
• Base map establishment
• Combining (Conflating) – Putting speeds on the highway map (volumes)
• Segmentation
• Analysis
http://mobility.tamu.edu
Urban Mobility Scorecard Partnership with INRIX
• Since 2010
• Nationwide speeds
• More accurate
• More corridor detail
• Calculate reliability
Combined with HPMS (FHWA) volume data for performance measures
Billions of GPS probe reports per day
Source: Inrix
2015 UMS Congestion Headlines
• Congestion rise points to recession being over… .
• It has spread to more times of the day, and more roads
• There are a lot of solutions, – …but new decisions and processes are needed – …and we need new data & messages to
communicate with the public
http://mobility.tamu.edu
Congestion is Getting Worse in Cities of All Sizes
Delay per Auto Commuter
Very Large = 3 M + Large = 1 M - 3 M Medium = 500 K - 1 M Small = Below 500 K
Congestion in the U.S. (2014 Data) • Hours of Delay
– 6.9 billion hours
– Average of 42 hours per auto commuter
• Wasted Fuel – 3.1 billion gallons
– Average of 19 gallons per auto commuter
• Congestion Cost – $160 billion (wasted time and fuel)
• Truck only - $28 billion
– Average of $960 per auto commuter
• Travel Time Index – 1.22
• Freeway Planning Time Index – 2.41
http://mobility.tamu.edu
Most Congested Areas with Greatest “Tax”
Average peak period auto commuter delay (2014) in: • Washington DC (1) 82 hours $1,834 (1) • Los Angeles (2) 80 hours $1,711 (3) • San Fran-Oakland (3) 78 hours $1,675 (4) • New York (4) 74 hours $1,739 (2) • San Jose (5) 67 hours $1,422 (8) • Houston (8) 61 hours $1,490 (6)
• Average (471 Areas) 42 hours $960 • Corpus Christi (85) 31 hours $697 (86)
http://mobility.tamu.edu
The Future (and past) of the Urban Mobility Scorecard
• Total travel time measure (door to door) • Multi-modal
– Truck – Public Transportation – Bike / Ped – Travel options (telework, etc)
• Environmental impacts • Operational Treatments
http://mobility.tamu.edu
Texas 100 Most Congested Roadways List
• Data – Speed data (trucks & “all vehicles”) – Volume data – Roadway information
• Match speed map to Texas DOT Roadway Inventory (RHiNo) network
• Provide local data for MPO and TxDOT District use (partnership) – Identify problems – Analyze possible solutions – Congestion management reporting – MAP-21 reporting
http://mobility.tamu.edu
Performance Measures • “Total magnitude” measures (total & truck only)
– Hours of delay – Hours of truck delay – Delay per mile
• “Individual” traveler measures – Texas congestion index (travel time index) – Commuter stress index – Planning time index (reliability)
• Use speed AND volume to find the biggest problems
http://mobility.tamu.edu
Texas DOT 100 Most Congested Roads (2015 Speed Data)
http://www.txdot.gov/inside-txdot/projects/100-congested-roadways.html
Texas DOT 100 Most Congested Roads http://www.txdot.gov/apps/statewide_mapping/StatewidePlanningMap.html
But wait…there’s more: “The rest of the (environmental) story…..” • Annual excess fuel used:
– Due to (total) congestion (gallons)
– Due to (truck) congestion (gallons)
• Annual Excess CO2 produced: – Due to (total) congestion (lbs)
– Due to (truck) congestion (lbs)
• Could convert to “per mile” values
• Available for all ~1,800 urban segments
• Note: congested CO2 is 2-4% of all CO2 (uncongested)
Note: Must go here for environmental info: http://mobility.tamu.edu
Detailed Directional Roadway Information
Note: Must go here for this info: http://mobility.tamu.edu
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200,000
400,000
600,000
800,000
1,000,000
1,200,000
1 4 7
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10
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An
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ela
y p
er
Mile
Rank
Annual Delay per Mile for Top 100 Sections (2015 speed data)
Approximately 27% of delay is in Top 10 Top 10 have congestion throughout day; heavy volumes; more than just peak delay
Travel Delay per Mile (2014 speed data)
Most Congested Roadway Sections
• Compare sections of different lengths
• 24-hour measure
• Off-peaks and weekends matter
• Truck delay per mile is also available
Statewide Truck Congestion Map (2014)
• Delay per mile (color) and
• Volumes (line width)
Northwest Houston (2014)
• Truck delays compared to All Vehicles delays
• Sam Houston Tollway cars > trucks
• I-45 N of Tollway trucks > cars
• US 290 NW trucks > cars
• I-10 from downtown cars > trucks
Contact
Bill Eisele, Ph.D., P.E.
Texas A&M Transportation Institute
(979) 845-8550
http://mobility.tamu.edu
(Or find me on LinkedIn)
