Impacts of the Safe Routes to School
Program on Walking and Bicycling
Noreen McDonald
University of North Carolina at Chapel Hill
1
Outline
• Children’s Travel
• Impacts of the Safe Routes to School Program
• Work @ ITS
2
Children’s Travel
3
25%
of the population
Source: American Factfinder
4
33%
of households
Source: American Factfinder
5
20%
of vehicle trips
Source: National Household Travel Survey
6
Why do we need to understand
children’s travel?
Predicting Adult
Travel
Infrastructure
Investments
Physical Activity
Opportunities
7
Safe Routes to School Program Impacts
8
Shift to Automobility
US Mode to School, 5-18 year olds
60
Auto
50
40
30
20
10
0
1965
1970
1975
1980
1985
1990
1995
2000
2005
School
Bus
Walk/
Bike
Transit
2010
9
Source: McDonald, et al. 2011. AJPM 41(2): 146-151.
SRTS Goals
• “enable and encourage children to walk and
bicycle to school”
• “make bicycling and walking to school a safer
and more appealing transportation
alternatives”
10
SRTS by the Numbers
$1.2
Billion
Funding
Source: McDonald, et al. 2013. AJPM 45(4): 401-406.
1 in 5
Schools
11
Research Question
• Do SRTS programs affect the proportion of
children walking and bicycling to school?
12
Research Design
Randomized
Controlled Trial
Quasiexperimental
• 4 states
• 801 schools
• 2007-2012
13
Approach
SRTS
Interventions
Neighborhood
Characteristics
yit f SRTSit , X it , Z i , Dt
Proportion Walking
and Bicycling to School
School
Characteristics
Time
Period
14
Data
Walking and
Biking to School
• Administrative
Data
• Student Report
• Parent Report
15
Source: National Center for Safe Routes to School
16
Data
Walking and
Biking to School
SRTS
Interventions
• 4Es
• Engineering
• Education,
Encouragement
• Enforcement
17
Data: Measuring SRTS
Step Function
%
Walk
Bike
Linear Function
%
Walk
Bike
SRTS
Time
Presence
(1/0)
Combined
%
Walk
Bike
SRTS
Time
Number of
Years
SRTS
Time
Presence
+
Number of
Years
18
Data
Walking and
Biking to School
SRTS
Interventions
School and
Neighborhood
• US Dept of Education
• Census
19
• WalkScore
Methods: Functional Form
Fractional Logit
exp( X )
Y
1 exp( X )
+
-
• Predictions inside (0,1)
• 0&1
• Marginal effects
• Unbalanced panel
Source: Papke and Wooldridge, 2008; Papke and Wooldridge, 1996
20
Results
21
Walking and Biking to School
30%
20%
10%
0%
Before
SRTS
Source: McDonald, et al. 2015. JAPA 80(2).
0.1-1.0
years
1.1-2.0
years
2.1-3.0
years
3.1-4.0
years
After SRTS
4.1-5.0
years
>5.0
years
22
Results: SRTS Program Impacts
Proportion Walk/Bike
-2
Education & Presence
Encouragement # of Years
Presence
Enforcement # of Years
Engineering
Presence
# of Years -1
Source: McDonald, et al. 2015. JAPA 80(2).
0
2
4
0.8
0.9
1.2
1.2
3.2
23
Results: SRTS Program Impacts
Proportion Walk/Bike
-2
Education & Presence
Encouragement # of Years
Presence
Enforcement # of Years
Engineering
Presence
# of Years -1
Source: McDonald, et al. 2015. JAPA 80(2).
0
2
4
Education and
Encouragement
0.8
0.9
1.2
1.2
3.2
• 0.9 point increase
per year
• Over 5 years, a
relative increase
of 25%
24
Results: SRTS Program Impacts
Proportion Walk/Bike
-2
Education & Presence
Encouragement # of Years
Presence
Enforcement # of Years
Engineering
Presence
# of Years -1
Source: McDonald, et al. 2015. JAPA 80(2).
0
2
4
0.8
0.9
1.2
1.2
3.2
25