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Agent-Based Simulation of Pedestrian Behaviour in Closed Spaces: A Museum Case Study

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Abstract

In order to analyse the behaviour of pedestrians at the very fine scale, while moving along the streets, in open spaces or inside a building, simulation modelling becomes an essential tool. In these spatial environments, simulation requires the ability to model the local dynamics of individual decision making and behaviour, which is strongly affected by the geometry, social preferences, local and collective behaviour of other individuals. The dy-namics of people visiting and evacuating a museum offers an excellent case study along this line. In this paper we present an agent-based simulation of the Castello Ursino museum in Catania (Italy), evaluating its carrying capacity in terms of both satisfaction of the visitors in regime of non-emergency dynamics and their safety under alarm conditions.

Suggested Citation

  • Alessandro Pluchino & Cesare Garofalo & Giuseppe Inturri & Andrea Rapisarda & Matteo Ignaccolo, 2014. "Agent-Based Simulation of Pedestrian Behaviour in Closed Spaces: A Museum Case Study," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 17(1), pages 1-16.
    • Handle: RePEc:jas:jasssj:2013-22-3
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    Cited by:

    1. Situngkir, Hokky, 2016. "Agent-Based Model for River-Side Land-living: Portrait of Bandung Indonesian Cikapundung Park Case Study," MPRA Paper 71078, University Library of Munich, Germany.
    2. Hassanpour, Sajjad & Rassafi, Amir Abbas & González, Vicente A. & Liu, Jiamou, 2021. "A hierarchical agent-based approach to simulate a dynamic decision-making process of evacuees using reinforcement learning," Journal of choice modelling, Elsevier, vol. 39(C).
    3. Li, Zhenning & Xu, Chengzhong & Bian, Zilin, 2022. "A force-driven model for passenger evacuation in bus fires," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
    4. G. B. Korovin, 2020. "Architecture of the agent-based model for the region’s industrial complex digital transformation," Journal of New Economy, Ural State University of Economics, vol. 21(3), pages 158-174, October.

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