Creating A Model for Evacuation Simulation of Earthquakes in Multi-Storey Buildings using 3D GIS and Agent-Based Model (ABM)

https://doi.org/10.22146/ijg.92295

'Azmiyatul 'Arifati(1*), Ratri Ma'rifatun Nisaa'(2), Acintya Nurmaya(3), Randy Alihusni Wardana(4)

(1) Geoinformation for Spatial Planning and Risk Management, Postgraduate School, Universitas Gadjah Mada, Indonesia
(2) Research Center for Ecology and Ethnobiology, National Research and Innovation Agency, Jakarta, Indonesia
(3) Department of Disaster Management, Politeknik Akbara, Surakarta, Indonesia
(4) Blue Seed Indonesia, Maros, Sulawesi Selatan, Indonesia
(*) Corresponding Author

Abstract


Evacuation simulations in multi-storey building using 3D GIS and ABM require further study. Existing models lack comprehensive input on various building attributes. This research aims to develop a model for simulating earthquake evacuations in multi-storey buildings. The building and its occupants (agents) are modeled in detail, with building dimensions and designs obtained through measurements and field surveys. A field observation was conducted to determine agent's distribution. Agents placed in the building model are given certain behaviors once evacuation begins. The research focuses on a multi-storey building at Universitas Gadjah Mada (UGM). The model can assess the effectiveness of current evacuation facilities. Computer simulation results show that 266 agents require 140.8 seconds to evacuate, with no bottleneck observed at any location. A guest agent, assumed to lack knowledge of the building’s emergency information, is observed to exit last. In contrast, the fastest evacuation is achieved by agents familiar with the building, represented by a group of lecturers/staff. Model validation, through comparison with a drill simulation, shows a time difference of 0.45 seconds. Findings indicate that, under current scenarios, the building’s evacuation facilities have adequate capacity. 



Keywords


Evacuation simulation; 3D GIS; ABM; Multi-storey building



References

Anantsuksomsri, S., & Tontisirin, N. (2022). Agent-based Modeling and Disaster Management. Journal of Architectural/Planning Research and Studies (JARS), 10(2), 1–14. https://doi.org/10.56261/jars.v10i2.16697

Aranha, C., Matsushima, H., & Kanoh, H. (2017). Information Exchange Model for Multi-Agent Earthquake/Tsunami Evacuation Simulation. Journal of Natural Disaster Science, 38(2), 179–200. https://doi.org/10.2328/jnds.38.179

Bandyopadhyay, M., & Singh, V. (2016). Development of agent based model for predicting emergency response time. Perspectives in Science, 8, 138–141. https://doi.org/10.1016/j.pisc.2016.04.017

Bernardini, G. (2015). An agent-based simulation model for earthquake pedestrians’ evacuation in historical urban fabric. Rivista Tema, 01(01). https://doi.org/10.30682/tema0101a

Bernardini, G., Lovreglio, R., & Quagliarini, E. (2019). Proposing behavior-oriented strategies for earthquake emergency evacuation: A behavioral data analysis from New Zealand, Italy and Japan. Safety Science, 116(February 2018), 295–309. https://doi.org/10.1016/j.ssci.2019.03.023

Castro, D. A., & Ford, A. (2021). 3D Agent-Based Model of Pedestrian Movements for Simulating COVID-19 Transmission in University Students. ISPRS International Journal of Geo-Information, 10(8), 509. https://doi.org/10.3390/ijgi10080509

Chandra, N. (2022). Studi Literatur Penggunaan Metode BIM Pada Software Autodesk Revit Structure. Jurnal Teknik Sipil Dan Teknologi Konstruksi, 8(1). https://doi.org/10.35308/jts-utu.v8i1.4555

Chen, Y. (2020). Agent-based research on crowd interaction in emergency evacuation. Cluster Computing, 23(1), 189–202. https://doi.org/10.1007/s10586-017-1134-7

Chu, Y., Liu, Z., Liu, T., Zhao, Y., & Chai, Y. (2022). Seismic evacuation simulation in a dynamic indoor environment. Computer Animation and Virtual Worlds, 33(3–4). https://doi.org/10.1002/cav.2074

Cimellaro, G. P., Ozzello, F., Vallero, A., Mahin, S., & Shao, B. (2017). Simulating earthquake evacuation using human behavior models. Earthquake Engineering & Structural Dynamics, 46(6), 985–1002. https://doi.org/10.1002/eqe.2840

Diambama, A. D., Anggraini, A., Nukman, M., Lühr, B.-G., & Suryanto, W. (2019). Velocity structure of the earthquake zone of the M6.3 Yogyakarta earthquake 2006 from a seismic tomography study. Geophysical Journal International, 216(1), 439–452. https://doi.org/10.1093/gji/ggy430

Ding, Y., & Weng, F. (2016). A comparative study of evacuation strategies for high-rise building via combination of stair and elevator based on computer simulation. International Journal of Emergency Management, 12(1), 41. https://doi.org/10.1504/IJEM.2016.074885

Guo, R., Li, C., & Guo, H. (2023). Indoor Navigation Network Model Construction Method Based on Building Information Model. Journal of Geographic Information System, 15(04), 367–378. https://doi.org/10.4236/jgis.2023.154018

Gwynne, S., Galea, E. R., Owen, M., & Lawrence, P. J. (2019). An investigation of the aspects of occupant behavior required for evacuation modeling. In Evacuation from Fires (pp. 31–71). Routledge. https://doi.org/10.4324/9781315228006-4

Hajji, R., Yaagoubi, R., Meliana, I., Laafou, I., & Gholabzouri, A. El. (2021). Development of an Integrated BIM-3D GIS Approach for 3D Cadastre in Morocco. ISPRS International Journal of Geo-Information, 10(5), 351. https://doi.org/10.3390/ijgi10050351

Hassanpour, S., Gonzalez, V., Liu, J., Zou, Y., & Cabrera-Guerrero, G. (2022). A hybrid hierarchical agent-based simulation approach for buildings indoor layout evaluation based on the post-earthquake evacuation. Advanced Engineering Informatics, 51, 101531. https://doi.org/10.1016/j.aei.2022.101531

He, J. (2021). Earthquake evacuation simulation of multi-story buildings during earthquakes. Earthquake Spectra, 37(1), 95–113. https://doi.org/10.1177/8755293020957353

Hendriatiningsih, S., Hernandi, A., Saptari, A. Y., Widyastuti, R., & Saragih, D. (2019). Building Information Modeling (BIM) Utilization for 3D Fiscal Cadastre. Indonesian Journal of Geography, 51(3), 285. https://doi.org/10.22146/ijg.41783

Jumadi, Carver, S., & Quincey, D. (2016). ABM and GIS-based multi-scenarios volcanic evacuation modelling of Merapi. AIP Conference Proceeding The 5th International Symposium on Earthhazard and Disaster Mitigation, 050005. https://doi.org/10.1063/1.4947401

Kim, J.-S., & Li, K.-J. (2019). Simplification of geometric objects in an indoor space. ISPRS Journal of Photogrammetry and Remote Sensing, 147, 146–162. https://doi.org/10.1016/j.isprsjprs.2018.11.017

Kobayashi, Y., Kaneda, T., Tamada, M., Shimura, T., & Hata, K. (2014). Evacuation Agent Simulation in an Underground Shopping Street Adding a Floor Field Approach and Its Three Dimensional Expression. In Pedestrian and Evacuation Dynamics 2012 (pp. 673–681). Springer International Publishing. https://doi.org/10.1007/978-3-319-02447-9_56

Lee, Y. S., & Malkawi, A. M. (2014). Simulating multiple occupant behaviors in buildings: An agent-based modeling approach. Energy and Buildings, 69, 407–416. https://doi.org/10.1016/j.enbuild.2013.11.020

Leonita, F., Sakti, H., & Nugroho, Y. S. (2017). Study of the Occupant Characteristics During Evacuation in Medium- and High-Rise Buildings in Indonesia. In K. Harada, K. Matsuyama, K. Himoto, Y. Nakamura, & K. Wakatsuki (Eds.), Fire Science and Technology 2015 (pp. 123–132). Springer Singapore. https://doi.org/10.1007/978-981-10-0376-9_12

Liu, R., Jiang, D., & Shi, L. (2016). Agent-based simulation of alternative classroom evacuation scenarios. Frontiers of Architectural Research, 5(1), 111–125. https://doi.org/10.1016/j.foar.2015.12.002

Liu, X., & Lim, S. (2016). Integration of spatial analysis and an agent-based model into evacuation management for shelter assignment and routing. Journal of Spatial Science, 61(2), 283–298. https://doi.org/10.1080/14498596.2016.1147393

Liu, Z., Jacques, C. C., Szyniszewski, S., Guest, J. K., Schafer, B. W., Igusa, T., & Mitrani-Reiser, J. (2016). Agent-Based Simulation of Building Evacuation after an Earthquake: Coupling Human Behavior with Structural Response. Natural Hazards Review, 17(1). https://doi.org/10.1061/(ASCE)NH.1527-6996.0000199

Manley, M., Kim, Y. S., Christensen, K., & Chen, A. (2016). Airport Emergency Evacuation Planning: An Agent-Based Simulation Study of Dirty Bomb Scenarios. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 46(10), 1390–1403. https://doi.org/10.1109/TSMC.2015.2497213

Marzouk, M., & Al Daoor, I. (2018). Simulation of labor evacuation: The case of housing construction projects. HBRC Journal, 14(2), 198–206. https://doi.org/10.1016/j.hbrcj.2016.07.001

Medina, N., Sanchez, A., & Vojinovic, Z. (2016). The Potential of Agent Based Models for Testing City Evacuation Strategies Under a Flood Event. Procedia Engineering, 154, 765–772. https://doi.org/10.1016/j.proeng.2016.07.581

Mesutoğlu, M., & Tok, H. (2021). Numerical Evaluation of the Performance for a Different Structural System Against Seismic Movements in Multi-Storey Reinforced Concrete Buildings. Turkish Journal of Geosciences, 2(1), 12–17. https://doi.org/10.48053/turkgeo.800364

Nguyen, N., Griffin, J., Cipta, A., & Cummins, P. R. (2015). Indonesia’s Historical Earthquakes: Modelled examples for improving the national hazard map. Geoscience Australia. https://doi.org/10.11636/record.2015.023

Ninatin, N., Widjajanti, N., & Pratama, C. (2020). Estimation of Strain Rate in the Opak Fault with Postseismic Correction After the 2006 Yogyakarta Earthquake. 2020 6th International Conference on Science and Technology (ICST), 01–05. https://doi.org/10.1109/ICST50505.2020.9732854

No, W., Choi, J., Park, S., & Lee, D. (2020). Balancing Hazard Exposure and Walking Distance in Evacuation Route Planning during Earthquake Disasters. ISPRS International Journal of Geo-Information, 9(7), 432. https://doi.org/10.3390/ijgi9070432

Pagou, E. S., Kamla, V. C., Tchappi, I., Mualla, Y., Najjar, A., & Galland, S. (2023). Shapefile-based multi-agent geosimulation and visualization of building evacuation scenario. Procedia Computer Science, 220, 519–526. https://doi.org/10.1016/j.procs.2023.03.066

Pandita, H., Isnawan, D., Winarti, Pambudi, S., Isjudarto, A., & Sukartono. (2023). Study of potential for earthquake acceleration around NYIA, Kulon Progo based on the history of seismicity in Yogyakarta. IOP Conference Series: Earth and Environmental Science, 1151(1), 012017. https://doi.org/10.1088/1755-1315/1151/1/012017

Pathfinder. (2021). Pathfinder Technical Reference Manual. In Thunderhead Engineering. https://support.thunderheadeng.com/docs/pathfinder/2021-1/technical-reference-manual/?_ga=2.103489536.122923135.1614546982-1581860049.1594780880

Pax, R., & Pavón, J. (2017). Agent architecture for crowd simulation in indoor environments. Journal of Ambient Intelligence and Humanized Computing, 8(2), 205–212. https://doi.org/10.1007/s12652-016-0420-1

Rahman, S. A. F. S. A., & Maulud, K. N. A. (2019). Approaching BIM-GIS Integration for 3D Evacuation Planning Requirement Using Multipatch Geometry Data Format. IOP Conference Series: Earth and Environmental Science, 385(1), 012033. https://doi.org/10.1088/1755-1315/385/1/012033

Rathinam, Y. (2022). Agents.jl: a performant and feature-full agent-based modeling software of minimal code complexity. SIMULATION, 003754972110688. https://doi.org/10.1177/00375497211068820

Ronchi, E., Uriz, F. N., Criel, X., & Reilly, P. (2016). Modelling large-scale evacuation of music festivals. Case Studies in Fire Safety, 5, 11–19. https://doi.org/10.1016/j.csfs.2015.12.002

Saputra, A., Gomez, C., Delikostidis, I., Zawar-Reza, P., Hadmoko, D., Sartohadi, J., & Setiawan, M. (2018). Determining Earthquake Susceptible Areas Southeast of Yogyakarta, Indonesia—Outcrop Analysis from Structure from Motion (SfM) and Geographic Information System (GIS). Geosciences, 8(4), 132. https://doi.org/10.3390/geosciences8040132

Singhal, R., Choudhary, L., Sarawagi, A., & Makkar, M. (2023). Effective Evacuation Planning by Leveraging Building Information. 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT), 1–6. https://doi.org/10.1109/ICCCNT56998.2023.10307588

Spearpoint, M., Arnott, M., Xie, H., Gwynne, S., & Templeton, A. (2024). Comparative analysis of two evacuation simulation tools when applied to high-rise residential buildings. Safety Science, 175, 106515. https://doi.org/10.1016/j.ssci.2024.106515

Takabatake, T., Shibayama, T., Esteban, M., Ishii, H., & Hamano, G. (2017). Simulated tsunami evacuation behavior of local residents and visitors in Kamakura, Japan. International Journal of Disaster Risk Reduction, 23, 1–14. https://doi.org/10.1016/j.ijdrr.2017.04.003

Tang, F., & Ren, A. (2012). GIS-based 3D evacuation simulation for indoor fire. Building and Environment, 49, 193–202. https://doi.org/10.1016/j.buildenv.2011.09.021

Tashakkori, H., Rajabifard, A., & Kalantari, M. (2015). A new 3D indoor/outdoor spatial model for indoor emergency response facilitation. Building and Environment, 89, 170–182. https://doi.org/10.1016/j.buildenv.2015.02.036

Teo, T.-A., & Cho, K.-H. (2016). BIM-oriented indoor network model for indoor and outdoor combined route planning. Advanced Engineering Informatics, 30(3), 268–282. https://doi.org/10.1016/j.aei.2016.04.007

Turgut, Y., & Bozdag, C. E. (2023). A framework proposal for machine learning-driven agent-based models through a case study analysis. Simulation Modelling Practice and Theory, 123, 102707. https://doi.org/10.1016/j.simpat.2022.102707

Wu, H., Nie, R., Zeng, X., Cheng, C., Pan, J., Han, D., & Hosamo, H. (2024). Review of advanced emergency evacuation procedures in hospital buildings: comprehensive analysis and insights. Frontiers in Built Environment, 10. https://doi.org/10.3389/fbuil.2024.1381813




DOI: https://doi.org/10.22146/ijg.92295

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