A Markov-chain activity-based model for pedestrians in office buildings

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As the number of people working in office buildings increases, there is an urgent need to improve building services, such as lighting and temperature control, within these buildings to increase energy efficiency and well-being of occupants. A pedestrian behaviour model that simulates office occupants’ movements and locations can provide the high spatial and temporal resolution data required for the testing, evaluation, and optimization of these control systems. However, since most studies in pedestrian research focus on modelling specific actions at the operational level or target situations where movement schedules do not have to modelled, a pedestrian behaviour model that can simulate complex situations over long time periods is missing. Therefore, this paper proposes a tactical level model to generate occupant movement patterns in office buildings. The Markov-chain activity-based model proposed here is data parsimonious, flexible in accepting different levels of information, and can produce high resolution output. The mathematical properties of the methodology are analyzed to understand their impact on the final results. Finally, the tactical level pedestrian behaviour model is face validated using a case study of an imaginary office with a simple layout.
Original languageEnglish
Title of host publicationProceedings of the 9th International Conference on Pedestrian and Evacuation Dynamics (PED2018)
Subtitle of host publicationLund, Sweden – August 21-23, 2018
Number of pages8
Publication statusPublished - 2018


  • pedestrians
  • tactical behaviour level
  • offices
  • buildings
  • activity-based
  • Markov-chain

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