Bicyclist Facility Preferences for Increasing Bicycle Trips

 
NCHRP 08-102:
Bicyclist Facility Preferences and Effects
on Increasing Bicycle Trips
 
Dr. Kari Watkins, Calvin Clark, Dr. Pat
Mokhtarian, Dr. Giovanni Circella
Georgia Institute of Technology
 
Dr. Susan Handy and Alison Kendall
Independent Consultants
 
Outline
 
Introduction
Methodology Description
Focus Group Findings
Description of Survey Respondents
Wave 1 Results and Discussion
Wave 2 Results and Discussion
Difference-in-Difference Results and Discussion
Conclusions
2
 
Introduction
 
 
Study Objectives
 
The purpose of this research is to broaden the
understanding of bike facility preferences among 
current
and 
potential
 cyclists
How do bicycle facility preferences vary among individuals?
How effective are various bicycle facilities in attracting new
trips?
4
 
Past Work
 
Handy et al. (2014) explain that many studies do not
differentiate between types of infrastructure
Many have tried to measure differences 
(Buehler and Pucher 2012;
Hankey et al. 2012; Krizek and Johnson 2006; etc.)
Results have been very mixed
Dill and McNeil (2013) suggest that different types of
facilities have differing impacts between rider types
Current understanding of differences is underdeveloped
5
 
Research Questions
 
What types of facilities are preferred?
How can we explain variations in preferences?
How do different facilities affect cycling trips?
What impacts an individual’s propensity to try a new facility?
What are the aggregate changes in cycling rates that
accompany new facilities?
How do changes in perceptions correspond?
6
 
Study Methodology Description
 
 
O = Observation
 
Treatment
 
?
 
First Wave
 
Second Wave
Research Design
Quasi-experimental (difference-in-difference) design
The purpose is to compare individual changes of those in a
test group to those in a control group
8
 
Data Sources
 
Interviews and focus groups 
(Clifton and Handy 2003; Handy et al. 2014)
Pre-existing sources such as Census 
(Krizek et al. 2009b and many others)
Restricts analysis to cross-sections
Surveys are preferred source
Intercept surveys 
(Thakuriah et al. 2012; Mitra et al. 2016)
Mail/online surveys 
(Xing and Handy 2014; Forsyth et al. 2010; etc.)
9
 
Individual Factors
 
Gender 
(Krizek and Johnson 2006; Akar and Clifton 2010; Handy et al. 2010; etc.)
Females are less likely
Age 
(Hankey et al. 2012; Xing et al. 2010; Stinson et al. 2014; etc.)
Mixed results
Education and Employment 
(Krizek and Johnson 2006; Moudon et al. 2005; etc.)
Generally increases likelihood of biking
Vehicle ownership 
(Buehler and Pucher 2012; Dill and Carr 2003; etc.)
Mixed results
Bike ownership 
(Moudon et al. 2005; Cervero and Duncan 2003; etc.)
Enables biking
Race/Ethnicity 
(Parkin et al. 2008; Hankey et al. 2012; Parker et al. 2013)
Mixed results
Attitudes 
(Fernandez et al. 2014; Emond et al 2009)
10
 
Literature Review Summary
 
Differences in perceptions of cycling can vary between
individuals and from place to place
It is hard to generalize conclusions from location to location
and from individual to individual
This research explores these differences in regards to
perceptions of cycling facilities
11
Selection of Communities
12
Tennessee
Alabama
Georgia
 
Opelika
 
Anniston
Selection of Communities
13
Tennessee
Alabama
Georgia
 
Chattanooga
Opelika
Anniston
Selection of Communities
14
Tennessee
Alabama
Georgia
Chattanooga
Opelika
Anniston
 
Northport
 
Survey 1: Fall 2016
Opelika two-way bike lane,
Opened 2017
Survey 2: Spring 2018
Selection of Communities
15
Tennessee
Alabama
Georgia
Chattanooga
Opelika
Anniston
Talladega
Northport
 
Survey 1: Fall 2016
Anniston sharrows,
Opened Late 2016
Survey 2: Spring 2018
Selection of Communities
16
Tennessee
Alabama
Georgia
Chattanooga
Opelika
Anniston
Talladega
Birmingham
Birmingham
Northport
 
Survey 1: Fall 2016
Chattanooga bike lanes,
Opened 2018
Survey 2: Fall 2018
 
Focus Group Methodology
 
Focus groups were held in each of the treatment communities
Current and potential cyclists
Participants were shown images of potential bicycle facilities and asked
about perceptions
17
 
First Wave Survey Methodology
 
The survey was 12 pages, taking ~30 minutes to complete
A.
Attitudes
B.
Technology usage
C.
Household location
D.
Daily travel
E.
Bicycling experience
F.
Demographics
18
 
Infrastructure Images
 
Images were prepared to simulate different environments
19
 
Infrastructure Images
20
 
 
Infrastructure Images
21
 
Second-wave Survey Methodology
 
The survey was 8 pages, taking ~20 minutes to complete
A.
Attitudes
B.
Daily travel
C.
Bicycling experience
D.
Demographics
Questions remained the same from the previous survey,
with some questions removed for brevity
Two new questions were added
22
 
Second-wave Survey Description
23
 
11.
We would like to know whether transportation in your community has changed since
Fall 2016, either for better or worse. Please give your opinion for each category
below.
 
Second-wave Survey Description
24
 
Focus Group Findings
 
 
Perceptions of Different Facilities
 
Uncomfortable with sharrows
Clear preference for separation from cars
Physical protection was most preferred
On-street parking was perceived as a negative for bicycling
Some perceived the number of automobile lanes as
negative; others did not mind or even liked having more
space for cars to pass
Many liked multi-use paths, though were held back by the
difficulties of mixing bicyclist and pedestrian traffic
26
 
Other Concerns
 
Concerns stem from mistrust of drivers
Many viewed drivers in their communities as more aggressive
than in other communities
Many would rather wait for more people to start biking before
they would join
27
 
Description of Survey Respondents
 
 
First Wave Response
29
 
Addresses were purchased from Direct Mail
Printed surveys were mailed to all addresses in each area
Respondents were given the option to take an online version of the
survey
 
Data Cleaning
 
Section A (Attitudes):
Cases with >5 missing items (out of 38 in the section) were deleted
Missing items were imputed
Section E (Bicycle experience):
Responses missing dependent variables were excluded from the respective
models
Section F (Demographics):
Responses with small amounts of missing sociodemographic data were
supplemented with information from targeted marketing database
After cleaning, 1,178 responses remained, with up to 7,068
image responses for each of 4 questions
30
 
 
Second-wave Survey Response
31
 
Printed surveys were mailed to all respondents of first survey
A URL was included to access the online version of the survey
 
Wave 1 Results
 
 
Perceptions Analysis
 
How is bicycling on different roadways perceived based on
certain factors?
Type of bike facility
Number of automobile lanes
Presence/absence of on-street parking
How do these perceptions differ based on cycling
frequency/ability?
Recreation
Utilitarian
Unable to bike
33
 
 
User Preference Analysis
34
 
Comfort
 
Safety
 
*Note that axes do not start at 0
 
Willingness to Try
Regression Models
35
 
Dependent Variables: Likert Type from 1 to 5
Regression Models (with Demographics)
36
 
Regression Models (with Attitudes)
37
 
Rider Segmentations
 
Respondents were split into one of four different rider
classes:
1.
Potential cyclist (N=700)—zero miles of biking per month, but able to
ride a bike, regardless of confidence level.
2.
Recreational cyclist (N=166)—non-zero bike distance per month, but
do not bike more than once a month for utilitarian purposes, or bike
less than a mile a week.
3.
Utilitarian cyclist (N=84)—bike more than once a month for utilitarian
purposes and bike at least a mile a week, on average.
4.
Cannot bike (N=163)—those who state that they cannot ride a bicycle.
38
 
Segmented Models (Main Effects)
39
Segmented Models (Incremental)
40
 
Wave 2 Results
 
 
General Perceptions of Change
 
42
 
Bike Safety
 
Bike Lane / Trail Availability
 
Bike Lane / Trail Quality
 
*denotes treatment
Recognition of New Bike Facilities
43
Have you seen it?
* pre-existing or nearby,
** modified version
implemented in study area,
*** implemented in study area
***
*
*
***
***
*
*
*
*
**
*
*
*
*
*
Recognition of New Bike Facilities
44
If so…
have you used it?
* pre-existing or nearby,
** modified version
implemented in study area,
*** implemented in study area
***
*
*
***
***
*
*
*
*
**
*
*
*
*
*
Recognition of New Bike Facilities
45
do you like it?
* pre-existing or nearby,
** modified version
implemented in study area,
*** implemented in study area
***
*
*
***
***
*
*
*
*
**
*
*
*
*
*
 
Difference-in-Difference Results
 
Changes in User Preferences
47
Changes in User Preferences
48
 
Changes in Bicycling Frequency
49
 
Conclusions
 
This project made major contributions by using a quasi-experimental
design to assess the impact of bicycle facilities in places where cycling is
limited.
Both 
current and potential cyclists prefer separated facilities.
Parking was a clear deterrent 
for all measures of preference, while the
effects of the number of traffic lanes were mixed.
Facility treatments were associated with perceptions of 
improved
measures of 
bikeability.
Even after the treatments, the number of bicyclists was still small,
though there is anecdotal evidence of a small number adopting cycling.
Likely a result of the minimal impact of projects in expanding bicycle networks
50
 
Implementation
 
Separated / Protected facilities 
should be a priority in bicycle facility
design.
Minimize parking 
adjacent to bike lanes.
Provide clear 
delineations between bicycling and walking 
lanes on
multi-use trails.
Make 
limited
 use of 
sharrows
.
Develop 
educational and promotional programs 
that instill positive
attitudes, especially among those who expressed worse perceptions of
facilities.
Remember that any single facility is only 
part of a larger 
bicycle
network
.
Conduct 
before-and-after evaluations 
of facilities using surveys from
this study.
51
 
Thank You!
 
Questions?
 
For Questions on the research or to conduct your own evaluation using
the focus group and survey materials, contact:
Dr. Kari Watkins
Kari.Watkins@ce.gatech.edu
Cell (206) 250-4415
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This research study aims to investigate the various preferences and effects of different bicycle facilities on increasing bicycle trips. It explores how individual preferences for bike facilities differ and the effectiveness of these facilities in attracting new trips. The study delves into the impacts of different types of facilities on cycling rates and changes in perceptions. By using a quasi-experimental design, the research compares changes between test and control groups to provide valuable insights for promoting cycling.

  • Bicyclist Facility
  • Bicycle Trips
  • Preferences
  • Cycling Rates

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  1. NCHRP 08-102: Bicyclist Facility Preferences and Effects on Increasing Bicycle Trips Dr. Kari Watkins, Calvin Clark, Dr. Pat Mokhtarian, Dr. Giovanni Circella Georgia Institute of Technology Dr. Susan Handy and Alison Kendall Independent Consultants

  2. Outline Introduction Methodology Description Focus Group Findings Description of Survey Respondents Wave 1 Results and Discussion Wave 2 Results and Discussion Difference-in-Difference Results and Discussion Conclusions 2

  3. Introduction

  4. Study Objectives The purpose of this research is to broaden the understanding of bike facility preferences among current and potential cyclists How do bicycle facility preferences vary among individuals? How effective are various bicycle facilities in attracting new trips? 4

  5. Past Work Handy et al. (2014) explain that many studies do not differentiate between types of infrastructure Many have tried to measure differences (Buehler and Pucher 2012; Hankey et al. 2012; Krizek and Johnson 2006; etc.) Results have been very mixed Dill and McNeil (2013) suggest that different types of facilities have differing impacts between rider types Current understanding of differences is underdeveloped 5

  6. Research Questions What types of facilities are preferred? How can we explain variations in preferences? How do different facilities affect cycling trips? What impacts an individual s propensity to try a new facility? What are the aggregate changes in cycling rates that accompany new facilities? How do changes in perceptions correspond? 6

  7. Study Methodology Description

  8. Research Design Quasi-experimental (difference-in-difference) design The purpose is to compare individual changes of those in a test group to those in a control group Test O1T Control O1C First Wave ? Treatment O2T O1T = O2C O1C O2T O2C Second Wave O = Observation 8

  9. Data Sources Interviews and focus groups (Clifton and Handy 2003; Handy et al. 2014) Pre-existing sources such as Census (Krizek et al. 2009b and many others) Restricts analysis to cross-sections Surveys are preferred source Intercept surveys (Thakuriah et al. 2012; Mitra et al. 2016) Mail/online surveys (Xing and Handy 2014; Forsyth et al. 2010; etc.) 9

  10. Individual Factors Gender (Krizek and Johnson 2006; Akar and Clifton 2010; Handy et al. 2010; etc.) Females are less likely Age (Hankey et al. 2012; Xing et al. 2010; Stinson et al. 2014; etc.) Mixed results Education and Employment (Krizek and Johnson 2006; Moudon et al. 2005; etc.) Generally increases likelihood of biking Vehicle ownership (Buehler and Pucher 2012; Dill and Carr 2003; etc.) Mixed results Bike ownership (Moudon et al. 2005; Cervero and Duncan 2003; etc.) Enables biking Race/Ethnicity (Parkin et al. 2008; Hankey et al. 2012; Parker et al. 2013) Mixed results Attitudes (Fernandez et al. 2014; Emond et al 2009) 10

  11. Literature Review Summary Differences in perceptions of cycling can vary between individuals and from place to place It is hard to generalize conclusions from location to location and from individual to individual This research explores these differences in regards to perceptions of cycling facilities 11

  12. Selection of Communities Tennessee Anniston Opelika Alabama Georgia 12

  13. Selection of Communities Tennessee Chattanooga Anniston Opelika Alabama Georgia 13

  14. Selection of Communities Control Treatment Small Suburban Tennessee Northport Opelika Chattanooga % Under $50,000 63% 59% % Under 50 Years 58% 52% % White / Caucasian 56% 45% Anniston Northport Opelika Survey 1: Fall 2016 Opelika two-way bike lane, Opened 2017 Survey 2: Spring 2018 Alabama Georgia 14

  15. Selection of Communities Control Treatment Rural Tennessee Talladega Anniston Chattanooga % Under $50,000 74% 73% % Under 50 Years 57% 50% % White / Caucasian 40% 36% Anniston Talladega Northport Opelika Survey 1: Fall 2016 Anniston sharrows, Opened Late 2016 Survey 2: Spring 2018 Alabama Georgia 15

  16. Selection of Communities Control Treatment Small Urban Tennessee Birmingham Chattanooga Chattanooga % Under $50,000 72% 75% % Under 50 Years 71% 67% % White / Caucasian 41% 43% Anniston Birmingham Birmingham Talladega Northport Opelika Survey 1: Fall 2016 Chattanooga bike lanes, Opened 2018 Survey 2: Fall 2018 Alabama Georgia 16

  17. Focus Group Methodology Focus groups were held in each of the treatment communities Current and potential cyclists Participants were shown images of potential bicycle facilities and asked about perceptions 17

  18. First Wave Survey Methodology The survey was 12 pages, taking ~30 minutes to complete A. Attitudes B. Technology usage C. Household location D. Daily travel E. Bicycling experience F. Demographics 18

  19. Infrastructure Images Images were prepared to simulate different environments Two Lane Four Lanes Parking No Parking Parking No Parking Sharrow Bike Lane Buffered Bike Lane Protected Bike Lane 19

  20. Infrastructure Images 20

  21. Infrastructure Images V1 V2 V3 V4 V1 V2 V3 V4 Sharrow Bike Lane Buffered Bike Lane Protected Bike Lane 21

  22. Second-wave Survey Methodology The survey was 8 pages, taking ~20 minutes to complete A. Attitudes B. Daily travel C. Bicycling experience D. Demographics Questions remained the same from the previous survey, with some questions removed for brevity Two new questions were added 22

  23. Second-wave Survey Description 11. We would like to know whether transportation in your community has changed since Fall 2016, either for better or worse. Please give your opinion for each category below. Neutral/ No change Much worse Somewhat worse Somewhat better Much better Traffic congestion Parking availability Public transit route coverage (can reach more/fewer places) Public transit frequency (comes more/less often) Sidewalk availability (more/fewer of them) Sidewalk quality Bicycle safety Availability of bicycle lanes and trails Quality of bicycle lanes and trails Availability of taxi/ Uber/ Lyft Other (please specify): _________________________ 23

  24. Second-wave Survey Description Have you seen this added in your community? Not sure If you ve seen it have you used it? do you like it? Not sure No Yes No Yes No Neutral Yes Sharrow Bike Lane Buffered Bike Lane Protected Bike Lane Multi-use Path 24

  25. Focus Group Findings

  26. Perceptions of Different Facilities Uncomfortable with sharrows Clear preference for separation from cars Physical protection was most preferred On-street parking was perceived as a negative for bicycling Some perceived the number of automobile lanes as negative; others did not mind or even liked having more space for cars to pass Many liked multi-use paths, though were held back by the difficulties of mixing bicyclist and pedestrian traffic 26

  27. Other Concerns Concerns stem from mistrust of drivers Many viewed drivers in their communities as more aggressive than in other communities Many would rather wait for more people to start biking before they would join 27

  28. Description of Survey Respondents

  29. First Wave Response Addresses were purchased from Direct Mail Printed surveys were mailed to all addresses in each area Respondents were given the option to take an online version of the survey Area Households Invited Responses Response Rate 4.6% 5.5% 5.4% 2.8% 6.3% 6.4% 5.2% Treatment / Control Treatment Treatment Treatment Control Control Control Anniston Opelika Chattanooga Talladega Northport Birmingham Total 4,348 3,363 4,400 3,305 3,707 4,294 23,418 198 185 239 93 234 274 1223 29

  30. Data Cleaning Section A (Attitudes): Cases with >5 missing items (out of 38 in the section) were deleted Missing items were imputed Section E (Bicycle experience): Responses missing dependent variables were excluded from the respective models Section F (Demographics): Responses with small amounts of missing sociodemographic data were supplemented with information from targeted marketing database After cleaning, 1,178 responses remained, with up to 7,068 image responses for each of 4 questions 30

  31. Second-wave Survey Response Printed surveys were mailed to all respondents of first survey A URL was included to access the online version of the survey Households Invited 4348 3363 4400 3305 3708 4294 23,418 First Wave Responses 198 185 239 93 234 274 1223 First Wave Response Rate 4.6% 5.5% 5.4% 2.8% 6.3% 6.4% 5.2% Second Wave Responses 98 103 85 47 145 105 583 Second Wave Response Rate 49% 56% 36% 51% 62% 38% 53% Area Anniston* Opelika* Chattanooga* Talladega Northport Birmingham Total *Indicates treatment location 31

  32. Wave 1 Results

  33. Perceptions Analysis How is bicycling on different roadways perceived based on certain factors? Type of bike facility Number of automobile lanes Presence/absence of on-street parking How do these perceptions differ based on cycling frequency/ability? Recreation Utilitarian Unable to bike 33

  34. User Preference Analysis Safety Comfort Willingness to Try *Note that axes do not start at 0 34

  35. Regression Models Dependent Variables: Likert Type from 1 to 5 Variable Comfort Safety Willingness to Try Coefficient 2.82 *** Coefficient 2.90 P Coefficient 2.62 P P Constant *** <0.001 *** <0.001 <0.001 Bicycle Infrastructure Types Bike Lane (BL) Buffered BL (BBL) One-way Protected Two-way Protected Multi-use Roadway Characteristics Parking Four Lanes Framing Effects BL-No Parking BBL-No Parking BL-Two Lanes # of Responses R2 *Significant at P = 0.050 or better **Significant at P = 0.010 or better ***Significant at P < 0.001 0.37 0.73 1.34 1.16 1.24 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 0.45 0.89 1.68 1.45 1.53 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 0.30 0.57 1.12 0.96 1.12 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 -0.27 0.02 *** <0.001 0.477 -0.26 0.05 *** <0.001 0.103 -0.17 -0.02 *** <0.001 0.500 0.42 0.22 0.28 *** *** *** 6743 0.175 <0.001 <0.001 <0.001 0.50 0.33 0.35 *** *** *** 6723 0.232 <0.001 <0.001 <0.001 0.41 0.22 0.22 *** ** * 6664 0.093 <0.001 0.002 0.015 35

  36. Regression Models (with Demographics) Variable Comfort Safety Willingness to Try Coefficient 3.59 Coefficient P Coefficient 2.55 P P Constant 3.09 *** <0.001 *** <0.001 *** <0.001 Bicycle Infrastructure Types Bike Lane Buffered Bike Lane 0.77 One-way Protected Two-way Protected Multi-use Roadway Characteristics Parking Four Lanes Framing Effects BL-No Parking BBL-No Parking BL-Two Lanes Sociodemographics Age Education Vehicles Per Driver Driver s License Child in Home Female African-American # of Responses R2 0.40 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 0.47 0.90 1.69 1.47 1.55 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 0.32 0.59 1.15 1.03 1.19 *** <0.001 *** <0.001 *** <0.001 *** <0.001 *** <0.001 1.39 1.21 1.30 -0.27 0.03 *** <0.001 0.477 -0.25 0.04 *** <0.001 0.103 -0.16 -0.03 *** <0.001 0.441 0.41 0.23 0.26 *** *** *** <0.001 <0.001 <0.001 0.50 0.34 0.31 *** *** *** <0.001 <0.001 <0.001 0.44 0.26 0.19 *** <0.001 *** <0.001 * 0.038 -0.004 0.04 -0.16 *** *** ** <0.001 <0.001 0.003 -0.004 0.03 *** ** <0.001 0.001 -0.01 0.09 -0.38 *** <0.001 *** <0.001 *** <0.001 0.18 -0.08 *** * <0.001 0.033 -0.29 -0.08 *** <0.001 * 0.047 6086 0.153 6159 0.201 6529 0.248 36

  37. Regression Models (with Attitudes) Variable Comfort Coefficient Constant 2.89 *** Bicycle Infrastructure Types Bike Lane 0.36 *** Buffered Bike Lane 0.74 *** One-way Protected 1.35 *** Two-way Protected 1.16 *** Multi-use 1.23 *** Roadway Characteristics Parking -0.26 *** Four Lanes -0.007 Framing Effects BL-No Parking 0.44 *** BBL-No Parking 0.20 *** BL-Two Lanes 0.28 *** Sociodemographics Age (in 10s of years) Education Driver s License Child in Home Female African-American Attitudes A18. Stubborn -0.053 *** A24. Cyclists unsafe -0.087 *** A28. Cyclists poor -0.030 * Car Dependence -0.033 * Bike Enjoyment 0.20 *** Active Travel 0.11 *** Utilitarian Travel -0.058 *** Risk Taking 0.051 *** Travel Time Usefulness Anti-Exercise # of Responses 6762 R2 0.246 Adj R2 0.244 .P < 0.1, *P < 0.05, **P < 0.01, ***P < 0.001 Safety Willingness to Try Coefficient 3.03 *** 0.30 *** 0.60 *** 1.14 *** 0.96 *** 1.14 *** -0.17 *** -0.07 * 0.43 *** 0.18 ** 0.20 * -0.036 *** 0.029 ** -0.21 *** -0.13 *** P Coefficient 2.43 *** 0.46 *** 0.91 *** 1.71 *** 1.47 *** 1.54 *** -0.25 *** 0.02 0.50 *** 0.32 *** 0.30 *** 0.18 *** -0.082 * P P <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.477 <0.001 0.566 <0.001 0.024 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.002 0.012 <0.001 0.004 <0.001 0.020 <0.001 <0.001 <0.001 <0.001 0.036 0.013 <0.001 <0.001 <0.001 <0.001 -0.036 -0.11 *** -0.055 *** 0.14 *** 0.090 *** -0.039 0.043 ** 0.009 <0.001 -0.033 * -0.15 *** -0.31 * -0.14 *** 0.47 *** 0.11 *** 0.069 *** -0.071 *** -0.069 *** 0.025 <0.001 0.037 <0.001 <0.001 <0.001 <0.001 <0.001 <0.001 0.008 0.002 ** ** 6578 0.290 0.288 <0.001 <0.001 <0.001 6557 0.335 0.332 37

  38. Rider Segmentations Respondents were split into one of four different rider classes: 1. Potential cyclist (N=700) zero miles of biking per month, but able to ride a bike, regardless of confidence level. 2. Recreational cyclist (N=166) non-zero bike distance per month, but do not bike more than once a month for utilitarian purposes, or bike less than a mile a week. 3. Utilitarian cyclist (N=84) bike more than once a month for utilitarian purposes and bike at least a mile a week, on average. 4. Cannot bike (N=163) those who state that they cannot ride a bicycle. 38

  39. Segmented Models (Main Effects) Variable Comfort Main Effects Coefficient Constant 3.14 *** Recreation (2) 0.17 *** Utilitarian (3) -0.54 * Unable (4) -0.09 * Bicycle Infrastructure Types Bike Lane (BL) 0.40 Buffered BL (BB) 0.76 One-way Protected 1.39 Two-way Protected 1.22 Multi-use 1.30 Roadway Characteristics Parking -0.29 Four Lanes 0.02 Framing Effects BL-No Parking 0.41 BB-No Parking 0.24 BL- Two Lanes 0.24 Sociodemographics Age -0.003 Education 0.03 Vehicles per Driver -0.23 Child in Home Driver s License Female African American Safety Willingness to Try Coefficient 3.74 *** -0.65 -0.20 -1.89 *** P Coefficient 2.64 0.15 -0.86 -0.01 P P <0.001 <0.001 0.012 0.031 *** *** *** <0.001 <0.001 <0.001 0.858 <0.001 0.004 0.428 <0.001 ** *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 0.47 0.90 1.72 1.50 1.56 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 0.32 0.59 1.15 1.02 1.19 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 *** <0.001 0.438 -0.28 0.05 *** <0.001 0.099 -0.21 -0.05 *** <0.001 0.152 *** *** ** <0.001 <0.001 0.001 0.51 0.36 0.29 *** *** *** <0.001 <0.001 <0.001 0.44 0.25 0.18 *** *** * <0.001 <0.001 0.043 *** ** *** <0.001 -0.004 0.002 <0.001 *** * ** <0.001 0.032 0.007 0.236 0.015 -0.009 0.03 -0.48 *** * *** <0.001 0.012 <0.001 0.02 -0.17 -0.05 0.22 * -0.19 -0.16 *** *** <0.001 <0.001 39

  40. Segmented Models (Incremental) Variable Comfort Safety Willingness to Try Coefficient Coefficient P Coefficient P P Incremental Effects Utilitarian Segment (3)*BL (3)*BB (3)*One-way Protected (3)*Two-way Protected (3)*Multi-use (3)*Parking (3)*Age (3)*Vehicles/Driver (3)*Child in Home Cannot Bike Segment (4)*Child in Home (4)*Parking (4)*Four Lanes (4)*Age (4)*African American (4)*Vehicles/Driver Recreation Segment (2)*Age (2)*Education # of Responses R2 Adj R2 0.31 0.36 0.44 0.40 0.59 0.29 0.006 0.44 -0.27 * * * 0.041 0.026 0.030 0.072 0.002 0.009 0.095 0.014 0.036 ** ** 0.20 0.009 0.44 * ** ** 0.046 0.008 0.010 0.009 0.50 * * 0.032 0.016 * * -0.25 0.082 0.37 0.24 0.009 0.62 0.40 *** * * *** * <0.001 0.014 0.015 <0.001 0.026 0.008 0.15 ** *** 5966 0.206 0.203 0.009 <0.001 6038 0.212 0.210 5982 0.268 0.265 40

  41. Wave 2 Results

  42. General Perceptions of Change Bike Safety Bike Lane / Trail Availability Bike Lane / Trail Quality *denotes treatment 42

  43. Recognition of New Bike Facilities *** Have you seen it? * * *** *** * * * * ** * * * pre-existing or nearby, ** modified version implemented in study area, *** implemented in study area * * * 43

  44. Recognition of New Bike Facilities *** If so have you used it? * * *** *** * * * * ** * * * pre-existing or nearby, ** modified version implemented in study area, *** implemented in study area * * * 44

  45. Recognition of New Bike Facilities *** do you like it? * * *** *** * * * * ** * * * pre-existing or nearby, ** modified version implemented in study area, *** implemented in study area * * * 45

  46. Difference-in-Difference Results

  47. Changes in User Preferences Variable Comfort (Wave 2) Safety (Wave 2) Willingness to Try (Wave 2) Coefficient 1.33 *** 0.58 *** 0.003 2,468 0.349 0.348 Coefficient 1.58 0.53 0.10 2,516 0.267 0.266 P <0.001 <0.001 0.011 Coefficient 1.53 0.53 0.083 2,507 0.301 0.300 P <0.001 <0.001 0.040 P <0.001 <0.001 0.941 Constant Wave 1 Treatment Responses R2 Adjusted R2 .P < 0.1, *P < 0.05, **P < 0.01, ***P < 0.001 *** *** * *** *** * 47

  48. Changes in User Preferences Variable Comfort (Wave 2) Safety (Wave 2) Willingness to Try (Wave 2) Coefficient 1.33 *** 0.55 *** 0.009 Coefficient 1.70 0.40 0.082 P <0.001 <0.001 0.038 Coefficient 1.62 0.41 0.069 P <0.001 <0.001 0.084 P <0.001 <0.001 0.841 Constant Wave 1 Treatment Bicycle Facility Type Bike Lane Buffered Bike Lane One-way Protected Two-way Protected Multi-use Roadway Characteristics Parking Four Lanes Framing Effects BL-No Parking BB-No Parking BL-Two Lanes Responses R2 Adjusted R2 .P < 0.1, *P < 0.05, **P < 0.01, ***P < 0.001 *** *** * *** *** . 0.31 0.53 1.02 0.74 0.78 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 0.30 0.53 0.98 0.74 0.78 *** *** *** *** *** <0.001 <0.001 <0.001 <0.001 <0.001 0.11 0.23 0.57 0.44 0.43 *** *** *** *** 0.149 <0.001 <0.001 <0.001 <0.001 -0.27 -0.04 *** <0.001 0.362 -0.22 -0.02 *** <0.001 0.733 -0.24 0.06 *** <0.001 0.245 0.13 0.14 -0.05 2,516 0.356 0.353 . 0.234 0.090 0.698 0.21 0.14 -0.09 2,507 0.384 0.381 . . 0.063 0.092 0.471 0.005 0.03 0.08 2,468 0.379 0.376 0.971 0.751 0.519 48

  49. Changes in Bicycling Frequency First Wave Bike Commute Frequency Treatments (N=70) Controls (N=85) Decreased No change Increased Decreased No change Increased Never NA 1 0 0 2 0 3 58 0 1 1 0 0 60 5 1 0 0 1 NA 3 3 1 0 0 7 69 3 0 0 0 0 72 6 0 0 0 0 <1 day a month 1 3 days a month 1 2 days a week 3 4 days a week 5 days a week Total NA 7 NA 6 First Wave Bike Other Trip Frequency Treatments (N=181) Controls (N=181) Decreased No change Increased Decreased No change Increased Never NA 8 1 1 0 3 13 142 5 4 2 1 0 154 8 4 0 2 0 NA 8 2 4 3 0 17 138 7 3 1 1 0 150 11 2 1 0 0 NA 14 <1 day a month 1 3 days a month 1 2 days a week 3 4 days a week 5 days a week Total NA 14 49

  50. Conclusions This project made major contributions by using a quasi-experimental design to assess the impact of bicycle facilities in places where cycling is limited. Both current and potential cyclists prefer separated facilities. Parking was a clear deterrent for all measures of preference, while the effects of the number of traffic lanes were mixed. Facility treatments were associated with perceptions of improved measures of bikeability. Even after the treatments, the number of bicyclists was still small, though there is anecdotal evidence of a small number adopting cycling. Likely a result of the minimal impact of projects in expanding bicycle networks 50

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