Agent-Based Model and Empirical Data Integration in Architectural Design Methodology for Corporate Offices

Soungmin Yu, Patrik Schumacher

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


This abstract outlines an ongoing research that uses an agent-based crowd simulation model to evaluate the social performance of a spatial design for corporate office environments within the field of architecture. Instead of focusing on the flow of movement which is the common approach in crowd simulation tools, the research described here aims to simulate occupancy behavior. The outlined methodology focuses on model initialization to calibrate the attributes and behavioral rules of the agents with empirical data for an agent based model with utility based decision making framework. The empirical data is gathered through a survey, CCTV camera footages and space observation in a case study, and the data gathering method is designed to capture organization specific occupancy patterns to inform the agent based model. Agents’ behavioral rules also consider the findings from research precedents in workplace communication patterns in the field of social science and behavioral and policy sciences. Using the agent-based model, probabilities for social interactions are compared in different design alternatives to evaluate spatial configurations. The initial set of experiments revealed nonlinear relationships between different aspects of design elements and frequency of social encounters.

Original languageEnglish
Title of host publicationAdvances in Social Simulation - Proceedings of the 15th Social Simulation Conference, 2019
EditorsPetra Ahrweiler, Martin Neumann
PublisherSpringer Science and Business Media B.V.
Number of pages5
ISBN (Print)9783030615024
Publication statusPublished - 2021
Event15th Social Simulation Conference, SSC 2019 - Mainz, Germany
Duration: 2019 Sept 232019 Sept 27

Publication series

NameSpringer Proceedings in Complexity
ISSN (Print)2213-8684
ISSN (Electronic)2213-8692


Conference15th Social Simulation Conference, SSC 2019

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

All Science Journal Classification (ASJC) codes

  • Applied Mathematics
  • Modelling and Simulation
  • Computer Science Applications


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