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Agent-based simulation of non-urgent egress from mass events in open public spaces

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dc.contributor.authorAlmeida, Duarte Sampaio de
dc.contributor.authorBrito e Abreu, Fernando
dc.contributor.authorBoavida-Portugal, Inês
dc.date.accessioned2025-01-06T09:59:46Z
dc.date.available2025-01-06T09:59:46Z
dc.date.issued2024
dc.description.abstractPublic mass events require thorough planning on allocating resources such as paramedics, police officers, urban cleaning teams, and their equipment (ambulances, patrol cars, garbage collection trucks, and other urban cleaning vehicles). Testing different scenarios of event venue layout and crowd behavior at the end of an event might be useful to plan the event and said resource allocation. Our main objective is to model the non-urgent egress of participants at the end of an event, with possible applications for event management. That is when some resources are released (police and paramedics) and others are requested (urban cleaning teams). Using the agent-based GAMA platform, we implemented a spatially explicit simulation model upon an extension of the Social Force Model that considers group behavior, and a novel implementation of the ‘‘social retention’’ phenomenon, to simulate non-urgent egress from public space mass gathering events. Focus groups with architecture, geography, and urban ergonomics experts were conducted for face validation and improvement of the model. We present the outcome of a series of simulations of a scenario mimicking a real-life music event that took place in a square in downtown Lisbon, Portugal. Cell phone data captured during the event was used to calibrate the model. We analyzed model performance when the number of pedestrian agents increases, to assess the feasibility of using our approach in participatory discussions with stakeholders responsible for resources management. On average, the egress evolution obtained in the simulations fit well with the evolution of cell phone counts captured during the event. The behavior of groups of agents evidenced real-life phenomena, such as the persistence of group cohesion and repulsion interactions (both with architectural obstacles and other agents). Model performance degradation with the increasing number of agents may hamper the usage of this model/platform for participatory meetings, due to the incurred delay in obtaining results. To mitigate this problem, we plan to explore parallelization strategies for agent-based simulation, such as using GPUs.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationAlmeida, D. S. de, Brito e Abreu, D. S., & Boavida-Portugal, I. (2024). Agent-based simulation of non-urgent egress from mass events in open public spaces. Simulation Modelling Practice and Theory, 136, 103002. https://doi.org/10.1016/j.simpat.2024.103002pt_PT
dc.identifier.doi10.1016/j.simpat.2024.103002pt_PT
dc.identifier.eissn1878-1462
dc.identifier.issn1569-190X
dc.identifier.urihttp://hdl.handle.net/10400.5/96828
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relationInformation Sciences, Technologies and Architecture Research Center
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1569190X24001163?via%3Dihubpt_PT
dc.subjectAgent-based modelingpt_PT
dc.subjectPedestrians simulationpt_PT
dc.subjectNon-urgent egresspt_PT
dc.subjectSocial force modelpt_PT
dc.subjectGroup behaviorpt_PT
dc.subjectSocial retentionpt_PT
dc.titleAgent-based simulation of non-urgent egress from mass events in open public spacespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/04466/2020
oaire.awardNumberUIDP/04466/2020
oaire.awardTitleInformation Sciences, Technologies and Architecture Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04466%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/Concurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017%2F2018) - Financiamento Programático/UIDP%2F04466%2F2020/PT
oaire.citation.startPage103002pt_PT
oaire.citation.titleSimulation Modelling Practice and Theorypt_PT
oaire.citation.volume136pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Programático
person.familyNameBoavida-Portugal
person.givenNameInês
person.identifier.orcid0000-0001-9932-9241
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublicationf8763c8b-3463-4822-a2ae-5a95a5757e19
relation.isAuthorOfPublication.latestForDiscoveryf8763c8b-3463-4822-a2ae-5a95a5757e19
relation.isProjectOfPublication29af39f2-5b6b-46e7-ad24-5edeca81b7db
relation.isProjectOfPublicatione22ed770-1658-4b76-9d28-5b216bf15d7f
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