Developing a Bicyclist Route Choice Model Using GPS Data
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Developing a bicyclist route choice model Urban Studies and Planning Joe Broach, PhD Student John Gliebe, Professor Jennifer Dill, Professor
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Transcript of Developing a Bicyclist Route Choice Model Using GPS Data
Developing a bicyclist route choice model
Urban Studies and PlanningJoe Broach, PhD StudentJohn Gliebe, ProfessorJennifer Dill, Professor
Random Utility Model
AlternativeRoutes
Attributes Weights
Choice
Stated Preference
Tilahun et al. (2007)
Revealed Preference
GPS TrackBike Network
no facilityAttributes
signed bike routeon-street bike lanebike boulevardoff-street path
Cyclists 154Women 44%Year-round 96%
Trips 1464Commute 30%
Miles 5169Portland 83%
GPS Data used for model (2007)
Alternative generation
GPS TrackBike Network
no facilityAttributes
signed bike routeon-street bike lanebike boulevardoff-street path
Calibrated Labeling Method
Optimize key attributes
Subject to…
Maximize bike lane use, subject to distance constraint
Sample Alternative (1)observed
alternative
Sample Alternative (2)
Relaxing distance constraint results in 2nd
unique alternative.
2nd alternative
Sample Alternative (3)
Relaxing distance constraint further results in 3rd unique alternative.
3rd alternative
Attributes
Facility Intersection Physical
Bike FacilityFunctional ClassTraffic VolumeOne-way
TurnsSignal/StopCross Volume
DistanceSlope
Bridge path
Bridge bike lane
Bike path
Bike boulevard
Bike lane
Minor arterial
Major arterial
Highway
Equivalent Distances by Facility (90 percent random param. intervals)
