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Occupant behavior is known as a key factor impacting building energy consumption and stochastic in nature. It is a challenge to model and simulates occupant behavior at an urban scale. This paper develops occupant behavior profile based on mobile position data for 456 buildings and compares commonly used occupant schedules from the U.S. Department of Energy Commercial Building Reference Model. In addition, a new statistical method is developed to quantify such difference. The result shows significant differences up to 50% for large office buildings and 30% for strip malls.

Derive Urban Scale Occupant Behavior Profiles From Mobile Position Data: A Pilot Study