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We are Traffic:
Creating Robust Bicycle and
Pedestrian Count Programs
Krista Nordback, Ph.D., P.E.
Oregon Transportation Research and Education Consortium (OTREC)
Portland State University
Overview
•
•
•
•

Introduction
Traffic Monitoring Programs
Non-Motorized Count Programs
Conclusions & Recommendations
INTRODUCTION
Why measure walking & biking?
Why measure walking & biking?
• Funding & policy decisions
Why measure walking & biking?
• Funding & policy decisions
• To show change over time
Why measure walking & biking?
• Funding & policy decisions
• To show change over time
• Facility design
Why measure walking & biking?
•
•
•
•

Funding & policy decisions
To show change over time
Facility design
Planning (short-term, long-term, regional…)
Why measure walking & biking?
•
•
•
•
•

Funding & policy decisions
To show change over time
Facility design
Planning (short-term, long-term, regional…)
Economic impact
Why measure walking & biking?
•
•
•
•
•
•

Funding & policy decisions
To show change over time
Facility design
Planning (short-term, long-term, regional…)
Economic impact
Public health
Why measure walking & biking?
•
•
•
•
•
•
•

Funding & policy decisions
To show change over time
Facility design
Planning (short-term, long-term, regional…)
Economic impact
Public health
Safety
How many bike and walk?
• Surveys
– National
– Regional
– Local

• Counts
– Permanent
– Short duration
TRAFFIC
MONITORING
PROGRAMS
State Traffic Monitoring
Permanent Counters
Commonly inductive loops

Metro Count Accessed 6/13/13 http://mtehelp.tech-metrocount.com/article.aspx?key=mc5805

Short Duration Counters
Commonly pneumatic tubes
Colorado’s Permanent Counters
Colorado’s Short Duration Traffic
Counts

CDOT OTIS Accessed 6/18/13 http://dtdapps.coloradodot.info/Otis/HighwayData#/ui/0/1/criteria/~/184.667/210.864
Permanent
Counter
Data

Short
Duration
Counts

Annual
Average
Daily
Traffic
(AADT)

Vehicle
Miles
Traveled
(VMT)
Use AADT to Estimate VMT
COLORADO HIGHWAYS

Sum (AADT X Segment Length) over network
to compute Vehicle Miles Traveled (VMT)
Can we apply these
methods to biking and
walking?
Compute

Annual Average
Daily Bicyclists
(AADB)
AADT for bicyclists!
Traffic
Monitoring
Guide 2013:
Chapter 4 for Nonmotorized Traffic
NON-MOTORIZED COUNT PROGRAMS
The TMG 2013
Approach
The TMG 2013
Approach
National Bicycle and Pedestrian
Documentation Project
Manual Counts:
2 hours
5 to 7pm
Tues, Wed, or Thurs in
mid-September

http://bikepeddocumentation.org/
Passive Infrared Counters
Inductive loop counters in bike lanes
Combined Bicycle and Pedestrian
Continuous Counter
The TMG 2013
Approach
Permanent
Count
Program
Permanent
Count
Program
Geographic/Climate Zones
Urban vs. Rural
600
Continuous Count Stations

Annual
Average
Daily
Bicyclists
(AADB)

High

Medium

200

Low

Volume
Categories
0

500
AADB

1,000
Traffic Monitoring Guide 2013 Update, Chapter 4.
Permanent
Count
Program
Daily Patterns
180%
160%
140%

% of AADB

120%
100%
80%
60%

40%
20%
0%

Colorado Example (Bikes only)
12:00 AM
1:00 AM
2:00 AM
3:00 AM
4:00 AM
5:00 AM
6:00 AM
7:00 AM
8:00 AM
9:00 AM
10:00 AM
11:00 AM
12:00 PM
1:00 PM
2:00 PM
3:00 PM
4:00 PM
5:00 PM
6:00 PM
7:00 PM
8:00 PM
9:00 PM
10:00 PM
11:00 PM

% of AADB

Hourly Commute Pattern

25%

20%

15%

10%

5%

0%

City of Boulder Example (Bikes only)
0:00
1:00
2:00
3:00
4:00
5:00
6:00
7:00
8:00
9:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
18:00
19:00
20:00
21:00
22:00
23:00

Average Hourly Volume

Hourly Non-commute Pattern

400
Jan

350
Feb

Mar

300
Apr

250
May

200

Jun

Jul

150
Aug

100
Sep

50
Oct

Nov

0

Source: Pam Johnson, PSU
Dec
Permanent
Count
Program
12 Possible groups
3 Daily Patterns

Commute

In Between

Non-Commute
12 Possible groups
3 Daily Patterns

2 Weekly Patterns

Commute
Commute

In Between

Non-Commute
Non-Commute
12 Possible groups
3 Daily Patterns

2 Weekly Patterns

2 Annual Patterns

Commute
Commute

Commute

In Between

Non-Commute
Non-Commute

Non-Commute
12 Possible groups
3 Daily Patterns

2 Weekly Patterns

2 Annual Patterns

Commute
Commute

Commute

In Between

Non-Commute
Non-Commute

Non-Commute
12 Possible groups
3 Daily Patterns

2 Weekly Patterns

2 Annual Patterns

Commute
Commute

Commute

In Between

Non-Commute
Non-Commute

Non-Commute
12 Possible groups
3 Daily Patterns

2 Weekly Patterns

2 Annual Patterns

Commute
Commute

Commute

In Between

Non-Commute
Non-Commute

Non-Commute
Weekly
Pattern

Higher
Weekends?

No

Location

Yes

Rural
Mtn
Trail?

Mountain
Non-commute
Yes

No

Urban Plains
Non-commute
Commute
Permanent
Count
Program
Factoring Method
Adapted from Traffic Monitoring Guide
AADB = Cknown* D * M
Cknown = 24-hour count
D = Daily Factor
M = Monthly Factor
Factoring Method
Adapted from Traffic Monitoring Guide
AADB = Cknown* D * M
Cknown = 24-hour count
D = Daily Factor
M = Monthly Factor
Monthly Factor
M=

AADB
MADB

where
MADB = Ave daily bike count in that month
Monthly Factor
June
M=

AADB
MADB

=

500
1,000

where
MADB = Ave daily bike count in that month
Monthly Factor
June
M=

AADB
MADB

=

500
1,000

= 0.5

where
MADB = Ave daily bike count in that month
Monthly Factor
June
M=

AADB
MADB

=

500
1,000

= 0.5

Daily counts in June are twice AADB.
where
MADB = Ave daily bike count in that month
Groups:

Colorado
Monthly
Factors

Mountain
NonCommute

Front Range
NonCommute Commute

January

3.90

1.54

February

3.15

2.00

March

1.26

1.23

April

2.16

1.07

1.05

May

1.04

0.75

0.93

June

0.52

0.76

0.71

July

0.42

0.76

0.82

August

0.51

0.74

0.67

September

0.71

0.76

0.78

October

1.73

0.99

1.04

November

1.46

1.36

December

2.52

2.28
Groups:

Colorado
Monthly
Factors

Mountain
NonCommute

Front Range
NonCommute Commute

January

3.90

1.54

February

3.15

2.00

March

1.26

1.23

April

2.16

1.07

1.05

May

1.04

0.75

0.93

June

0.52

0.76

0.71

July

0.42

0.76

0.82

August

0.51

0.74

0.67

September

0.71

0.76

0.78

October

1.73

0.99

1.04

November

1.46

1.36

December

2.52

2.28
Permanent
Count
Program
Precision of Monthly Factors

How many counters/group?
100%
90%
80%
70%
60%
50%
40%
30%
20%
10%
0%

Non-Commute
Factors
Commute Counters
Average

0 1 2 3 4 5 6 7 8 9 1011121314
Number of Counters
Permanent
Count
Program
The TMG 2013
Approach
The TMG 2013
Approach
The TMG 2013
Approach
Short
Duration
Count
Program
Short
Duration
Count
Program
Turning Movement Counts
Segment Count
A

B
Short Duration Counters
• Pedestrian

Manual

Infrared

• Bicycle

Manual

Pneumatic Tube Counters
Traffic Monitoring Guide 2013 Update, Chapter 4.
Short
Duration
Count
Program
Potential Selection Criteria
• Variety of facility types
– On-street
– Path

• Variety of land uses
– Central business district
– Residential
– School/University

• Technology related criteria
Short
Duration
Count
Program
Average Absolute % Difference

Count Duration
70%
60%
50%

1 week

40%
30%
20%
10%
0%
0

200

400

Count Duration (hours)

600
Short
Duration
Count
Program
Absolute % Error in AADT
Estimate

Schedule Counts
100%
80%
60%
40%
20%

0%
1

2

3

4

5

6 7 8
Month

9 10 11 12

May to October best
for Colorado
The TMG 2013
Approach
Factoring Method
Adapted from Traffic Monitoring Guide
AADB = Cknown* D * M
Cknown = 24-hour count
D = Daily Factor
M = Monthly Factor
AADB
VMT
for
bicycles
CONCLUSIONS &
RECOMMENDATIONS
Summary
• Traffic Monitoring Guide
Approach:
– Permanent Count
Program
– Short Duration Count
Program
– Compute AADT for Bikes
and Pedestrians
On-line Guide

www.pdx.edu/ibpi/guide-to-bicycle-pedestrian-count-programs
Recommendations
• Both permanent and short duration count
programs are needed.
• Continuous counters are needed!
• Prefer 1 week short count
• Short duration counts in high volume months
– summer

• Integrate bike/ped counts into traffic data for
preservation and access
Balance Permanent and Short
Duration Programs

SHORT
PERMANENT
COUNT
PROGRAM

DURATION
COUNT
PROGRAM
Iterative Process
Iterative Process
Example
1st Year

SHORT
PERMANENT
COUNT
PROGRAM

1 Permanent Counter

DURATION
COUNT
PROGRAM

20 Manual Counts
2nd Year

SHORT
PERMANENT
COUNT
PROGRAM

1 Permanent Counter

Rotate 1 counter
all summer

DURATION
COUNT
PROGRAM

24 Automated Short Duration Sites
(one week per site)
3rd Year

PERMANENT
COUNT
PROGRAM

5 Permanent Counters

SHORT DURATION
COUNT PROGRAM
Rotate 2 counters
all summer

48 Automated Short Duration Sites
(one week per site)
4th Year

SHORT DURATION COUNT
PROGRAM
PERMANENT
COUNT
PROGRAM

6 Permanent Counters

Rotate 5 counters
all summer

120 Automated Short Duration Sites
(one week per site)
10th Year

SHORT DURATION COUNT
PROGRAM
PERMANENT COUNT
PROGRAM

12 Permanent Counters

Rotate 10 counters
all summer on
3 year rotation

720 Automated Short Duration Sites
(one week per site) on 3 year rotation
On-going Work
• Colorado, Vermont, Minnesota, Oregon, North
Carolina, Washington State DOT’s are
developing programs.
• TRB Bike/Ped Data Subcommittee
• FHWA to include bike/ped counts in Travel
Monitoring Analysis System (TMAS)
• OTREC’s Bike/Ped Data Archive
Questions?
Krista Nordback
Nordback@pdx.edu
503-725-2897

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