Derive urban scale occupant behavior profiles from mobile position data: A pilot study

Bing Dong, Wenbo Wu, Qi Wang, Sadam Abdelmutaal, Vishnu Prakash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish (US)
Title of host publication16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
EditorsVincenzo Corrado, Enrico Fabrizio, Andrea Gasparella, Francesco Patuzzi
PublisherInternational Building Performance Simulation Association
Pages113-120
Number of pages8
ISBN (Electronic)9781713809418
StatePublished - 2019
Event16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019 - Rome, Italy
Duration: Sep 2 2019Sep 4 2019

Publication series

NameBuilding Simulation Conference Proceedings
Volume1
ISSN (Print)2522-2708

Conference

Conference16th International Conference of the International Building Performance Simulation Association, Building Simulation 2019
Country/TerritoryItaly
CityRome
Period9/2/199/4/19

ASJC Scopus subject areas

  • Building and Construction
  • Architecture
  • Modeling and Simulation
  • Computer Science Applications

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