Abstract
This study proposes a method for including metabolic energy as a variable in a user behavior model for urban railway stations which the author developed, and verifies that the interpretability of this model is greatly improved. This model targets user behavior between a ticket gate of the boarding station and a ticket gate of the alighting station, and assumes that this series of behavior is hierarchized by pedestrian facilities choice of the boarding station, coach choice, pedestrian facilities choice of the alighting station, and the utility function (choice criterion) as linear function of moving time and additionally metabolic energy, form, and formulates this choice set using the Nested Logit model based on random utility theory for the individual attribute unit.
