International conference on construction engineering and project management (국제학술발표논문집)

  • 2024.07a
  • /
  • Pages.606-612
  • /
  • 2024
  • /
  • 2508-9048(eISSN)
Korea Institute of Construction Engineering and Management (한국건설관리학회)
권호 표지
DOI QR코드

DOI QR Code

Applications of Agent-Based Modeling (ABM) in Planning and Design of Built Environments

  • Ali Khodabandelu (Department of Civil and Environmental Engineering and Construction, University of Nevada) ;
  • JeeWoong Park (Department of Civil and Environmental Engineering and Construction, University of Nevada) ;
  • Unmesa Ray (Department of Civil and Environmental Engineering and Construction, University of Nevada)
  • Published : 2024.07.29
Download PDF
⟨ Previous Next ⟩

Abstract

The modeling and simulation of built environments are crucial preliminary steps for their design, planning, and management. Among various simulation methods, agent-based modeling (ABM) has recently gained traction for simulating built environments due to its ability to effectively model and capture complex interactions between simulated entities. The increasing applications of ABM for the simulation of built environments necessitate a comprehensive review of past scientific endeavors with positive accomplishments and those that remain unsolved. This study seeks to address this gap by reviewing ABM and its applications in the simulation of built environments, with a specific focus on the planning and design phases. First, the research introduces ABM and its unique features concerning the simulation of built environments. Second, it conducts a systematic review of past studies in the planning (e.g., feasibility analysis, risk management, and scheduling under constraints) and design (e.g., automated design, collaborative design, improving operations, and facilitating evacuation) aspects of built environments. Finally, following the in-depth review and subsequent analysis, the study identifies the strengths and weaknesses of using ABM for simulating the built environments. The study concludes with a remark on potential future research directions to overcome the limitations of the existing studies.

Keywords

References

  1. A. Khodabandelu and J. Park, "Agent-based modeling and simulation in construction," Autom Constr, vol. 131, no. August, p. 103882, 2021, doi: 10.1016/j.autcon.2021.103882.
  2. E. Bonabeau, "Agent-based modeling: Methods and techniques for simulating human systems," Proceedings of the National Academy of Sciences, vol. 99, no. suppl 3, pp. 7280-7287, 2002, doi: 10.1073/pnas.082080899.
  3. G. del C. Nava Guerrero, G. Korevaar, H. H. Hansen, and Z. Lukszo, "Agent-based modeling of a thermal energy transition in the built environment," Energies (Basel), vol. 12, no. 5, 2019, doi: 10.3390/en12050856.
  4. C. Macal and M. North, "Introductory tutorial: Agent-based modeling and simulation," in Proceedings of the Winter Simulation Conference 2014, IEEE, 2014, pp. 6-20. doi: 10.1109/WSC.2014.7019874.
  5. C. M. Macal and M. J. North, "Agent-based modeling and simulation: ABMS examples," in 2008 Winter Simulation Conference, IEEE, 2008, pp. 101-112. doi: 10.1109/WSC.2008.4736060.
  6. A. Khodabandelu, J. Park, and C. Arteaga, "Crane operation planning in overlapping areas through dynamic supply selection," Autom Constr, vol. 117, no. April, p. 103253, 2020, doi: 10.1016/j.autcon.2020.103253.
  7. A. Khodabandelu, and J. Park, (2022). Applications of Agent-Based Modeling (ABM) in Enhancing Facility Operation and Management, Proceeding of the 2022 International Conference on Construction Engineering and Project Management, Las Vegas, NV, USA, 20-23"
  8. S. Norouziasl, A. Jafari, and Y. Zhu, "Modeling and simulation of energy-related human-building interaction: A systematic review," Journal of Building Engineering, vol. 44, no. February, p. 102928, 2021, doi: 10.1016/j.jobe.2021.102928.
  9. P. Zhang, N. Li, Z. Jiang, D. Fang, and C. J. Anumba, "An agent-based modeling approach for understanding the effect of worker-management interactions on construction workers' safety-related behaviors," Autom Constr, vol. 97, pp. 29-43, 2019, doi: 10.1016/j.autcon.2018.10.015.
  10. K. Kim and K. J. Kim, "Multi-agent-based simulation system for construction operations with congested flows," Autom Constr, vol. 19, no. 7, pp. 867-874, 2010, doi: 10.1016/j.autcon.2010.05.005.
  11. A. Jabri and T. Zayed, "Agent-based modeling and simulation of earthmoving operations," Autom Constr, vol. 81, pp. 210-223, 2017, doi: 10.1016/j.autcon.2017.06.017.
  12. M. Will, J. Groeneveld, K. Frank, and B. Muller, "Combining social network analysis and agent-based modelling to explore dynamics of human interaction: A review," Socio-Environmental Systems Modelling, vol. 2, p. 16325, 2020, doi: 10.18174/sesmo.2020a16325.
  13. Q. Zou, D. S. Fernandes, and S. Chen, "Agent-based evacuation simulation from subway train and platform," Journal of Transportation Safety and Security, vol. 0, no. 0, pp. 1-22, 2019, doi: 10.1080/19439962.2019.1634661.
  14. H. Jo, H. Lee, Y. Suh, J. Kim, and Y. Park, "A dynamic feasibility analysis of public investment projects: An integrated approach using system dynamics and agent-based modeling," 2015, doi: 10.1016/j.ijproman.2015.07.002.
  15. F. Taillandier, P. Taillandier, F. Hamzaoui, and D. Breysse, "European Journal of Environmental and Civil Engineering A new agent-based model to manage construction project risks-application to the crossroad of Bab El Karmadine at Tlemcen A new agent-based model to manage construction project risks-application to the crossroad of Bab El Karmadine at Tlemcen," 2016, doi: 10.1080/19648189.2015.1134675.
  16. A. Senouci, K. A. Warith, and N. Eldin, "Resource-Constrained Construction Scheduling Using Agent Based Modeling Technique," Journal of Civil Engineering and Construction, vol. 8, no. 1, pp. 25-33, Feb. 2019, doi: 10.32732/JCEC.2019.8.1.25.
  17. V. J. L. Gan and J. C. P. Cheng, "Formulation and analysis of dynamic supply chain of backfill in construction waste management using agent-based modeling," 2015, doi: 10.1016/j.aei.2015.01.004.
  18. V. Ha and G. Lykotrafitis, "Agent-based modeling of a multi-room multi-floor building emergency evacuation," Physica A: Statistical Mechanics and its Applications, vol. 391, no. 8, pp. 2740-2751, 2012, doi: 10.1016/j.physa.2011.12.034.
  19. C. Arteaga and J. Park, "Building design and its effect on evacuation efficiency and casualty levels during an indoor active shooter incident," Saf Sci, vol. 127, no. January, p. 104692, 2020, doi: 10.1016/j.ssci.2020.104692.
  20. C. J. Andrews, D. Yi, U. Krogmann, J. A. Senick, and R. E. Wener, "Designing buildings for real occupants: An agent-based approach," IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans, vol. 41, no. 6, pp. 1077-1091, 2011, doi: 10.1109/TSMCA.2011.2116116.
  21. D. J. Gerber, E. Pantazis, and A. Wang, "A multi-agent approach for performance based architecture: Design exploring geometry, user, and environmental agencies in facades," Autom Constr, vol. 76, pp. 45-58, 2017, doi: 10.1016/j.autcon.2017.01.001.
  22. D. Simeone and A. Fioravanti, "An ontology-based system to support agent-based simulation of building use," Electronic Journal of Information Technology in Construction. Accessed: Jun. 05, 2020. [Online]. Available: https://www.researchgate.net/publication/263046322_An_ontology-based_system_to_support_agent-based_simulation_of_building_use
  23. D. Schaumann, N. Putievsky Pilosof, H. Sopher, J. Yahav, and Y. E. Kalay, "Simulating multi-agent narratives for pre-occupancy evaluation of architectural designs," Autom Constr, vol. 106, no. March, p. 102896, 2019, doi: 10.1016/j.autcon.2019.102896.
  24. H. Jo, H. Lee, Y. Suh, J. Kim, and Y. Park, "A dynamic feasibility analysis of public investment projects: An integrated approach using system dynamics and agent-based modeling," International Journal of Project Management, vol. 33, no. 8, pp. 1863-1876, 2015, doi: 10.1016/j.ijproman.2015.07.002.
  25. F. Taillandier, P. Taillandier, F. Hamzaoui, and D. Breysse, "A new agent-based model to manage construction project risks - application to the crossroad of Bab El Karmadine at Tlemcen," European Journal of Environmental and Civil Engineering, vol. 20, no. 10, pp. 1197-1213, 2016, doi: 10.1080/19648189.2015.1134675.
  26. F. Hamzaoui, M. Amine Allal, F. Taillandier, and M. Achoui, "Risk management in construction projects by coupling the SMACC agent with the MADS MOSAR method - application to the dam project in Mascara, Algeria," International Journal of Construction Management, vol. 0, no. 0, pp. 1-15, 2019, doi: 10.1080/15623599.2019.1641890.
  27. C. Molinero and M. Nunez, "Planning of work schedules through the use of a hierarchical multi-agent system," Autom Constr, vol. 20, no. 8, pp. 1227-1241, 2011, doi: 10.1016/j.autcon.2011.05.006.
  28. M. M. Farshchian, G. Heravi, and S. Abourizk, "Optimizing the owner's scenarios for budget allocation in a portfolio of projects using agent-based simulation," J Constr Eng Manag, vol. 143, no. 7, pp. 1-10, 2017, doi: 10.1061/(ASCE)CO.1943-7862.0001315.
  29. Z. Ding, R. Liu, Y. Wang, V. W. Tam, and M. Ma, "An agent-based model approach for urban demolition waste quantification and a management framework for stakeholders," J Clean Prod, no. xxxx, p. 124897, 2020, doi: 10.1016/j.jclepro.2020.124897.
  30. V. J. L. Gan and J. C. P. Cheng, "Formulation and analysis of dynamic supply chain of backfill in construction waste management using agent-based modeling," Advanced Engineering Informatics, vol. 29, no. 4, pp. 878-888, 2015, doi: 10.1016/j.aei.2015.01.004.
  31. C. Knoeri, I. Nikolic, H.-J. Althaus, and C. R. Binder, "Enhancing recycling of construction materials: An agent based model with empirically based decision parameters," Journal of Artificial Societies and Social Simulation. Accessed: Apr. 06, 2020. [Online]. Available: http://eprints.whiterose.ac.uk/82726/
  32. Y. Su, "Multi-agent evolutionary game in the recycling utilization of construction waste," Science of the Total Environment, vol. 738, p. 139826, 2020, doi: 10.1016/j.scitotenv.2020.139826.
  33. M. S. Eid and I. H. El-adaway, "Integrating the Social Vulnerability of Host Communities and the Objective Functions of Associated Stakeholders during Disaster Recovery Processes Using Agent-Based Modeling," Journal of Computing in Civil Engineering, vol. 31, no. 5. p. 04017030, 2017. doi: 10.1061/(asce)cp.1943-5487.0000680.
  34. A. Nejat and I. Damnjanovic, "Agent-Based Modeling of Behavioral Housing Recovery Following Disasters," Computer-Aided Civil and Infrastructure Engineering, vol. 27, no. 10. pp. 748-763, 2012. doi: 10.1111/j.1467-8667.2012.00787.x.
  35. M. Y. Cheng and Y. W. Wu, "Multi-agent-based data exchange platform for bridge disaster prevention: A case study in Taiwan," Natural Hazards, vol. 69, no. 1, pp. 311-326, 2013, doi: 10.1007/s11069-013-0708-9.
  36. D. I. Inan, G. Beydoun, and S. Opper, "Agent-Based Knowledge Analysis Framework in Disaster Management," Information Systems Frontiers, vol. 20, no. 4, pp. 783-802, 2018, doi: 10.1007/s10796-017-9792-9.
  37. S. Moradi and A. Nejat, "Recovus: An agent-based model of post-disaster household recovery," Jasss, vol. 23, no. 4, pp. 1-23, 2020, doi: 10.18564/jasss.4445.
  38. T. Kanno, S. Koike, T. Suzuki, and K. Furuta, "Human-centered modeling framework of multiple interdependency in urban systems for simulation of post-disaster recovery processes," Cognition, Technology and Work, vol. 21, no. 2, pp. 301-316, 2019, doi: 10.1007/s10111-018-0510-2.
  39. J. B. Coles, J. Zhang, and J. Zhuang, "Scalable simulation of a Disaster Response Agent-based network Management and Adaptation System (DRAMAS)," J Risk Res, vol. 22, no. 3, pp. 269-290, 2019, doi: 10.1080/13669877.2017.1351463.