Psychology of Route Choice in Familiar Networks: Minimizing Turns and Embracing Signals

AbstractIt is widely accepted that path choice of a trip is dependent on trip characteristics, network attributes, and a traveler’s personal characteristics. The best-known network variables that influence route choice are travel distance and travel time. This research attempts to study the influence of other network variables, namely signals, turns, and roadway classification on route choice. Real-world trip data from path trajectories tracked by a global positioning system (GPS) in an urban area are used to isolate nearly 5,700 unique real paths. Procedures to compute the theoretical shortest time path (STP) and shortest distance path (SDP) based on travel time and distance as impedance variables, respectively, are developed. Street network data are augmented with data on signalized intersections. Procedures to identify turns and road classes along the real and theoretical paths, and methods to quantify turn penalties are developed. The real paths are compared to their STP and SDP counterparts to identi...

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