Do people use the shortest path? An empirical test of Wardrop's first principle.
Most recent route choice models, following either the random utility maximization or rule-based paradigm, require explicit enumeration of feasible routes. The quality of model estimation and prediction is sensitive to the appropriateness of the consideration set. However, few empirical studies of revealed route characteristics have been reported in the literature. This study evaluates the widely applied shortest path assumption by evaluating routes followed by residents of the Minneapolis-St. Paul metropolitan area. Accurate Global Positioning System (GPS) and Geographic Information System (GIS) data were employed to reveal routes people used over an eight to thirteen week period. Most people did not choose the shortest path. Using three weeks of that data, we find that current route choice set generation algorithms do not reveal the majority of paths that individuals took. Findings from this study may guide future efforts in building better route choice models.
Department of Civil, Environmental, and Infrastructure Engineering, George Mason University, 4400 University Drive, MS 6C1 Fairfax, Virginia, 22030, United States of America.
Shanjiang
S
Zhu
Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, 500 Pillsbury Drive SE, Minneapolis, Minnesota, 55455, United States of America.
David
D
Levinson
D000465:Algorithms; D001290:Attitude; D001519:Behavior; D003657:Decision Making; D040362:Geographic Information Systems; D006801:Humans; D008962:Models, Theoretical