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Bike Network Equity:
A GIS & Qualitative Analysis of
Several American Cities
Rachel Pierstorff
Acknowledgements
Introduction
● Nonwhite and low income individuals are more likely to bike to work
than wealthier and white individuals
● Protected bike lanes decrease cyclist injuries and bikers travel out of
their way to reach them
● Cycling = health benefits, cost savings, energy efficient
Research Goal: quantify bike network distribution equity in comparison
to practical planning approaches across cities renowned for high cycling
rates and lengthy trail systems
Methods
● Equity as a concept
○ Horizontal: equal
distribution of resources
across a population,
regardless of people’s needs
or preferences
○ Vertical: seeks to
compensate for historical,
social, or economic
differences between groups
● Mapping equity and GIS
○ Sum of bikeway within
block group
Methods: Quantifying Equity
● Lorenz curves graph
relationship between
the proportion of bike
network available to
various proportions of
the population
● Gini coefficient
represents gap
between perfect
equitable and actual
data distributions
Methods: Planner Interviews
● Equity in the planning process
○ Do cities with more equitable bike networks plan specifically for them?
○ As an expert, could such methods be useful in the planning process?
○ How do you consider equity when planning bike lanes?
Big Cities: Bike Network Distributions
Big Cities
Results: Horizontal Equity
College Towns: Bike Network Distributions
College Towns
Results: Horizontal Equity
Interview Results
COLLEGE STATION,
TEXAS
● Does not explicitly
plan for equity
● But plans bikeways on
all new roads
● Gini coefficient slightly
behind Boulder &
ahead of Madison
Interview Results
MADISON, WISCONSIN
● Least equitable Gini
coefficient
● Focus on low traffic
stress roads
● Consider transport
vulnerable groups
Interview Results
MINNEAPOLIS, MINNESOTA
● More equitable than
Chicago and San Francisco
● Prioritizes comfortable bike
rides for broad segment of
population
● Considers equity in
implementation rather than
planning
Discussion
THEMES
● New interpretation of city bike
networks
● We mapped areas of unusually high
population with unusually low bike
network access
● Interviews revealed complex
incorporations of equity in planning
● The city that most explicitly planned
for equity received the best Gini score
LIMITATIONS
● Assumption of even
distribution of homes
within block groups
● More refined network
sums could be achieved
at block level, though
demographic statistics
would be lost
Questions? Comments?
Want to hire me?
Rachel Pierstorff
rachelpierstorff12@gmail.com

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GISCO Fall 2018: Bike Network Equity: A GIS and Qualitative Analysis of American Cities – Rachel Pierstorff

  • 1. Bike Network Equity: A GIS & Qualitative Analysis of Several American Cities Rachel Pierstorff
  • 3. Introduction ● Nonwhite and low income individuals are more likely to bike to work than wealthier and white individuals ● Protected bike lanes decrease cyclist injuries and bikers travel out of their way to reach them ● Cycling = health benefits, cost savings, energy efficient Research Goal: quantify bike network distribution equity in comparison to practical planning approaches across cities renowned for high cycling rates and lengthy trail systems
  • 4. Methods ● Equity as a concept ○ Horizontal: equal distribution of resources across a population, regardless of people’s needs or preferences ○ Vertical: seeks to compensate for historical, social, or economic differences between groups ● Mapping equity and GIS ○ Sum of bikeway within block group
  • 5. Methods: Quantifying Equity ● Lorenz curves graph relationship between the proportion of bike network available to various proportions of the population ● Gini coefficient represents gap between perfect equitable and actual data distributions
  • 6. Methods: Planner Interviews ● Equity in the planning process ○ Do cities with more equitable bike networks plan specifically for them? ○ As an expert, could such methods be useful in the planning process? ○ How do you consider equity when planning bike lanes?
  • 7. Big Cities: Bike Network Distributions Big Cities
  • 9. College Towns: Bike Network Distributions College Towns
  • 11. Interview Results COLLEGE STATION, TEXAS ● Does not explicitly plan for equity ● But plans bikeways on all new roads ● Gini coefficient slightly behind Boulder & ahead of Madison
  • 12. Interview Results MADISON, WISCONSIN ● Least equitable Gini coefficient ● Focus on low traffic stress roads ● Consider transport vulnerable groups
  • 13. Interview Results MINNEAPOLIS, MINNESOTA ● More equitable than Chicago and San Francisco ● Prioritizes comfortable bike rides for broad segment of population ● Considers equity in implementation rather than planning
  • 14. Discussion THEMES ● New interpretation of city bike networks ● We mapped areas of unusually high population with unusually low bike network access ● Interviews revealed complex incorporations of equity in planning ● The city that most explicitly planned for equity received the best Gini score LIMITATIONS ● Assumption of even distribution of homes within block groups ● More refined network sums could be achieved at block level, though demographic statistics would be lost
  • 15. Questions? Comments? Want to hire me? Rachel Pierstorff rachelpierstorff12@gmail.com