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Cargo Bikes as an
Opportunity for Mode
Substitution Behavior
William Riggs, PhD, AICP
What is a cargo bike
❖ A human powered vehicle / bicycle designed and
constructed specifically for transporting loads.
❖ Other frequently terms used are freight bicycles,
carrier cycles, freight tricycles, box bikes, cycletrucks
or long johns.
Outline
❖ Literature
❖ Hypothesis
❖ Methods
❖ Results: Quantitative
❖ Results: Qualitative
❖ Conclusions
Literature
❖ Ample body of work on bicycles, mode choice and programs to
promote cycling (Pinjari, Pendyala, Bhat, & Waddell, 2008; J. Pucher,
Buehler, & Seinen, 2011; Pucher, Dill, & Handy, 2010b)
❖ Young adults and men are more likely to cycle for utilitarian purposes,
e.g. trips for errands, to school, or work vs. for leisure (Winters, Friesen,
Koehoorn, & Teschke, 2007)
❖ Some discussion of cargo bikes for logistics & courier service
(Shaheen, Guzman, & Zhang, 2010; Gruber, Kihm, & Lenz, 2013; Lenz &
Riehle, 2013). For example, Berlin banned car courier services within the
city center as a trial (Gössling, 2013; J. Pucher & Buehler, 2008).
Hypothesis
Problem: Lack of understanding of
how individuals interact with platform.
• Potential to impact active
transportation; especially
for families?
• Possible insights mode
substitution behavior?
Methods
❖ Stated preference survey exploring
❖ 1) Trip mode before and after
purchase
❖ 2) Trip Type (work, school, other)
❖ 3) Individual characteristics and
preferences & open ended
qualitative responses
❖ Statistical evaluation & qualitative
coding
❖ Roughly 300 responses (N=299)
+/-5.6 at the 95% confidence
interval
Results: Descriptive Highlights
❖ Descriptive Highlights
❖ Prior to ownership 60% percent traveled via car.
❖ Most trips (68%) work related; 53% dropped kids on these trips.
❖ After purchase of cargo bike, 19% reported their car / auto as
primary mode; a potential 41% reduction in auto trips. (69%
used their cargo bike as primary mode.)
❖ Total number of auto trips appeared to decline by 1-2 trips per
day for these individuals (on average 3-10 miles per day)
❖ 62% had at least considered giving up a vehicle.
Value Count Percent
Percent
Change
Car / Truck /
Auto
37 19.1% -40.4%
Bus / Transit 2 1.0% -4.6%
Traditional
Bicycle
21 10.8% -17.2%
Cargo / Utility
Bicycle
133 68.6% 68.6%
Walking 0 0.0% -3.9%
Other 1 0.5% -2.5%
Results: Primary Travel Mode After
Purchasing a Cargo Bike
Results: Inferential Statistics
❖ Significant negative correlation with
auto, transit and bike indicates potential
mode substitution; strongest pull on
autos and traditional bikes
❖ Purchase of cargo bike significant
positive correlation with increased bike
trips
❖ In every model kids are positively
correlated with cargo bike use at the .05
threshold or higher
B Sig.
Primary Mode Auto -0.465***
Primary Mode Transit -0.111**
Primary Mode Traditional
Bicycle
-0.349***
After Other -0.079----
Drop Kids 0.115**
Trip Purpose Work --------
Trip Purpose School 0.017----
Trip Purpose Other -0.093*
Increase Bike Trips 0.348***
Car to Cargo | R = .57
Statistical Significance:
*** (p < 0.05)
** (0.05 < p < 0.10)
* (0.10 < p < 0.20)
Results: Qualitative
Results: Qualitative
Conclusions
• Positive relationship between
cargo bikes / kids
• More research needed on mode
substitution behavior
• Potential policy implications if
cargo bikes continue to be
adopted more widely
Follow-On?
• Built environment perception
of safety & street design
• Gender-norming benefits
• Caloric Benefit Cargo vs.
Traditional / e-Bike
Dutch / Step Through French / Mixed
Road / Touring / City
Follow-On?
• Mode substitution behavior
and getting beyond ‘hardcore’
users
• Social vs. market behavioral
nudges
– EDWARD TUFTE
“There is no such thing as information overload,
only bad design.”
30.1%
34.5%
13.3%
42.5%
69.9%
77.0%
74.3%
67.3%
0.0%
10.0%
20.0%
30.0%
40.0%
50.0%
60.0%
70.0%
80.0%
90.0%
A B C D
Percentage
Percentage of Responses by Treatment Group
Success
Failure
Cargo Bikes as an Opportunity for Mode Substitution Behavior
Questions William Riggs
Calpoly, San Luis Obispo
wriggs@calpoly.edu

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Cargo Bikes Mode Shift Potential

  • 1. Cargo Bikes as an Opportunity for Mode Substitution Behavior William Riggs, PhD, AICP
  • 2. What is a cargo bike ❖ A human powered vehicle / bicycle designed and constructed specifically for transporting loads. ❖ Other frequently terms used are freight bicycles, carrier cycles, freight tricycles, box bikes, cycletrucks or long johns.
  • 3. Outline ❖ Literature ❖ Hypothesis ❖ Methods ❖ Results: Quantitative ❖ Results: Qualitative ❖ Conclusions
  • 4. Literature ❖ Ample body of work on bicycles, mode choice and programs to promote cycling (Pinjari, Pendyala, Bhat, & Waddell, 2008; J. Pucher, Buehler, & Seinen, 2011; Pucher, Dill, & Handy, 2010b) ❖ Young adults and men are more likely to cycle for utilitarian purposes, e.g. trips for errands, to school, or work vs. for leisure (Winters, Friesen, Koehoorn, & Teschke, 2007) ❖ Some discussion of cargo bikes for logistics & courier service (Shaheen, Guzman, & Zhang, 2010; Gruber, Kihm, & Lenz, 2013; Lenz & Riehle, 2013). For example, Berlin banned car courier services within the city center as a trial (Gössling, 2013; J. Pucher & Buehler, 2008).
  • 5. Hypothesis Problem: Lack of understanding of how individuals interact with platform. • Potential to impact active transportation; especially for families? • Possible insights mode substitution behavior?
  • 6. Methods ❖ Stated preference survey exploring ❖ 1) Trip mode before and after purchase ❖ 2) Trip Type (work, school, other) ❖ 3) Individual characteristics and preferences & open ended qualitative responses ❖ Statistical evaluation & qualitative coding ❖ Roughly 300 responses (N=299) +/-5.6 at the 95% confidence interval
  • 7. Results: Descriptive Highlights ❖ Descriptive Highlights ❖ Prior to ownership 60% percent traveled via car. ❖ Most trips (68%) work related; 53% dropped kids on these trips. ❖ After purchase of cargo bike, 19% reported their car / auto as primary mode; a potential 41% reduction in auto trips. (69% used their cargo bike as primary mode.) ❖ Total number of auto trips appeared to decline by 1-2 trips per day for these individuals (on average 3-10 miles per day) ❖ 62% had at least considered giving up a vehicle.
  • 8. Value Count Percent Percent Change Car / Truck / Auto 37 19.1% -40.4% Bus / Transit 2 1.0% -4.6% Traditional Bicycle 21 10.8% -17.2% Cargo / Utility Bicycle 133 68.6% 68.6% Walking 0 0.0% -3.9% Other 1 0.5% -2.5% Results: Primary Travel Mode After Purchasing a Cargo Bike
  • 9. Results: Inferential Statistics ❖ Significant negative correlation with auto, transit and bike indicates potential mode substitution; strongest pull on autos and traditional bikes ❖ Purchase of cargo bike significant positive correlation with increased bike trips ❖ In every model kids are positively correlated with cargo bike use at the .05 threshold or higher B Sig. Primary Mode Auto -0.465*** Primary Mode Transit -0.111** Primary Mode Traditional Bicycle -0.349*** After Other -0.079---- Drop Kids 0.115** Trip Purpose Work -------- Trip Purpose School 0.017---- Trip Purpose Other -0.093* Increase Bike Trips 0.348*** Car to Cargo | R = .57 Statistical Significance: *** (p < 0.05) ** (0.05 < p < 0.10) * (0.10 < p < 0.20)
  • 12. Conclusions • Positive relationship between cargo bikes / kids • More research needed on mode substitution behavior • Potential policy implications if cargo bikes continue to be adopted more widely
  • 13. Follow-On? • Built environment perception of safety & street design • Gender-norming benefits • Caloric Benefit Cargo vs. Traditional / e-Bike
  • 14. Dutch / Step Through French / Mixed Road / Touring / City
  • 15.
  • 16. Follow-On? • Mode substitution behavior and getting beyond ‘hardcore’ users • Social vs. market behavioral nudges
  • 17. – EDWARD TUFTE “There is no such thing as information overload, only bad design.”
  • 18. 30.1% 34.5% 13.3% 42.5% 69.9% 77.0% 74.3% 67.3% 0.0% 10.0% 20.0% 30.0% 40.0% 50.0% 60.0% 70.0% 80.0% 90.0% A B C D Percentage Percentage of Responses by Treatment Group Success Failure
  • 19.
  • 20. Cargo Bikes as an Opportunity for Mode Substitution Behavior Questions William Riggs Calpoly, San Luis Obispo wriggs@calpoly.edu