TTI URBAN MOBILITY

SCORECARD

2015 Report

Presented by:

Keith Nichols, PE

Principal Transportation Engineer,

TTAC Agenda Item #14

October 7, 2015

• The TTI Urban Mobility Scorecard report evaluates

mobility levels and traffic congestion in all 471

metropolitan areas throughout the U.S.

• TTI determined mobility levels using INRIX roadway

speed data as well as traffic counts and roadway

characteristics collected from FHWA’s Highway

Performance Monitoring System (HPMS).

• The report includes various recommendations to

reduce and manage congestion.

• The Urban Mobility Scorecard report is available on

TTI’s website at http://mobility.tamu.edu

2

INTRODUCTION

MEASURES REPORTED

• Hours of Delay

• Travel Time Index

• Freeway Planning Time Index

• Excess Fuel Consumed

• Congestion Costs

3

LARGE URBAN AREAS

Hampton Roads

Portland

Sacramento

Las Vegas

Denver

San Jose Kansas City

San Antonio Orlando

Tampa Bay

Riverside-San Bernardino

Milwaukee

Minneapolis-

St. Paul

St. Louis

Memphis

Baltimore

Pittsburgh Indianapolis

Austin

Nashville

Salt Lake City

Charlotte

Jacksonville

Louisville

Cincinnati

Columbus

Cleveland

• TTI defines 31 urban areas as “large” (with

populations of 1-3 million people), whereas HRTPO

uses 36 large MSAs.

Oklahoma City

Richmond

Providence

4

LARGE URBAN AREAS

Hampton Roads

Portland

Sacramento

Las Vegas

Denver

San Jose Kansas City

San Antonio New Orleans Orlando

Tampa

Riverside-San Bernardino

Milwaukee

Minneapolis-

St. Paul

St. Louis

Memphis

Baltimore

Pittsburgh Indianapolis

Austin

Nashville

Salt Lake City

Charlotte

Jacksonville

Raleigh

Louisville

Cincinnati

Columbus

Cleveland

Buffalo Providence

• TTI defines 31 urban areas as “large” (with

populations of 1-3 million people), whereas HRTPO

uses 36 large MSAs.

Oklahoma City

Richmond

Tuscon Birmingham

Hartford

San Diego

Rochester

4

0

10

20

30

40

50

60

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

An

nu

al

De

lay

pe

r P

ea

k A

uto

Co

mm

ute

r (h

rs)

Annual Hours of Delay per Peak Auto Commuter, Hampton Roads

ANNUAL DELAY

Annual Hours of Delay per Peak Auto Commuter

Hampton Roads, 2005-2014

An

nu

al

Ho

urs

of

Dela

y

Data source: TTI.

• Hampton Roads had 45 hours of delay per peak period

auto commuter in 2014.

5

ANNUAL DELAY

0

10

20

30

40

50

60

70

An

nu

al

Ho

urs

of

De

lay

pe

r P

ea

k A

uto

Co

mm

ute

r

Annual Hours of Delay Per Peak Auto Commuter,

Large Urban Areas, 2014

• Hampton Roads ranked 11th among the 36 large

metropolitan areas in delay per auto commuter in

2014.

Annual Hours of Delay per Peak Auto Commuter

Large MSAs, 2014

An

nu

al

Ho

urs

of

Dela

y p

er

Peak

Au

to C

om

mu

ter

Data source: TTI.

6

1.00

1.05

1.10

1.15

1.20

1.25

1.30

1.35

1.40

Tra

vel Tim

e I

nd

ex

Travel Time Index,

Large MSAs, 2014

TRAVEL TIME INDEX

• The average peak period trip takes 19% longer than

the same trip during the non-peak periods in Hampton

Roads.

Travel Time Index

Large Urban Areas, 2014

Tra

vel

Tim

e I

nd

ex

Data source: TTI.

7

$0

$100

$200

$300

$400

$500

$600

$700

$800

$900

$1,000

$1,100

$1,200

2005 2006 2007 2008 2009 2010 2011 2012 2013 2014

An

nu

al

Co

ng

esti

on

Co

sts

Pe

r A

uto

Co

mm

ute

r

Annual Congestion Costs Per Peak Auto Commuter, Hampton Roads

CONGESTION COSTS

• Congestion cost each Hampton Roads auto commuter

an estimated $953 in 2014.

Annual Congestion Costs Per Peak Auto Commuter

Hampton Roads, 2005-2014 (in constant 2014 $)

An

nu

al

Co

ng

est

ion

Co

sts

Data source: TTI.

8

$0

$200

$400

$600

$800

$1,000

$1,200

$1,400

$1,600

Congestion Costs,

Large MSAs, 2014

• Hampton Roads ranked 23rd among the 36 large

metropolitan areas in delay per auto commuter in

2014.

10

Congestion Costs per Peak Auto Commuter

Large Urban Areas, 2014

Co

ng

est

ion

Co

sts

Data source: TTI.

CONGESTION COSTS

9

STUDY CRITIQUES

• The Urban Mobility Scorecard only focuses on

drivers and fails to account for commute mode

share.

• The report compares peak-period conditions to free-

flow speeds.

• TTI looks at roadway congestion levels, but does not

take into account the actual commute time and

average commute trip length.

10

Chicago Travel Time Index = 1.31

Atlanta Travel Time Index = 1.24

0%

5%

10%

15%

20%

25%

30%

35%

40%

Tom

To

m T

raff

ic I

nd

ex

Tom Tom Traffic Index,

Large MSAs, 2014TomTom Traffic Index

Large Urban Areas, 2014

To

mT

om

Tra

ffic

In

dex

Data source: TomTom.

TOMTOM TRAFFIC INDEX

• Based on TomTom and AutoNavi GPS Data

• Measures “Congestion Level”, which compares the

increase in travel times to free flow conditions

(similar to the Travel Time Index)

11

TTI Travel Time Index

Large MSAs, 2014

Tra

vel

Tim

e I

nd

ex

Data source: TTI.

1.00

1.05

1.10

1.15

1.20

1.25

1.30

1.35

1.40

Tra

vel Tim

e I

nd

ex

Travel Time Index,

Large MSAs, 2014

FHWA URBAN CONGESTION REPORT

• Based on FHWA's National Performance

Management Research Data Set (NPMRDS), which

uses HERE speed data.

12

TTI URBAN MOBILITY

SCORECARD

2015 Report

Presented by:

Keith Nichols, PE

Principal Transportation Engineer,

TTAC Agenda Item #14

October 7, 2015