The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation

Although urban digital twins are still at an embryonic stage of development, their use cases are multiple, ranging from big data aggregation to simulations. Additionally, predictions can be rendered and quickly implemented using actuators to transform physical environments and influence urban life....

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Main Authors: Sarah Shtaierman, Catarina Fontes, Christoph Lütge
Format: Article
Language:English
Published: Cogitatio 2025-01-01
Series:Urban Planning
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Online Access:https://www.cogitatiopress.com/urbanplanning/article/view/8613
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author Sarah Shtaierman
Catarina Fontes
Christoph Lütge
author_facet Sarah Shtaierman
Catarina Fontes
Christoph Lütge
author_sort Sarah Shtaierman
collection DOAJ
description Although urban digital twins are still at an embryonic stage of development, their use cases are multiple, ranging from big data aggregation to simulations. Additionally, predictions can be rendered and quickly implemented using actuators to transform physical environments and influence urban life. In this article, we investigate the potential of an agent-based model in a smart city setting to predict emergent behavior in relation to the suppression of civil violence by implementing crowd management practices. To this end, we designed a simulation environment that includes cameras in public spaces and wearable sensors, and considers nudging and self-nudging processes supported by a surveillance apparatus. Building on Epstein’s threshold-based model of civil violence, the proposed simulation is informed by surveillance theories and contemplates methods for crowd monitoring and social control. The experiments’ results provide insights into how specific measures and combined actions may influence the suppression of civil violence in public spaces and can be useful to inform crowd management activities and policymaking. Moreover, we use the simulation to reflect upon the potentials and limitations of integrating agent-based models into urban digital twins and emphasize the imminent risks for individuals and democratic societies of employing a ubiquitous surveillance apparatus endowed with the autonomy to trigger actuators.
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spelling doaj-art-1bf853a7c4e347d4a3e85d95f2bf24f22025-01-21T10:43:37ZengCogitatioUrban Planning2183-76352025-01-0110010.17645/up.86133837The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging SimulationSarah Shtaierman0Catarina Fontes1Christoph Lütge2Institute for Ethics in Artificial Intelligence, Technical University of Munich, GermanyInstitute for Ethics in Artificial Intelligence, Technical University of Munich, GermanyInstitute for Ethics in Artificial Intelligence, Technical University of Munich, GermanyAlthough urban digital twins are still at an embryonic stage of development, their use cases are multiple, ranging from big data aggregation to simulations. Additionally, predictions can be rendered and quickly implemented using actuators to transform physical environments and influence urban life. In this article, we investigate the potential of an agent-based model in a smart city setting to predict emergent behavior in relation to the suppression of civil violence by implementing crowd management practices. To this end, we designed a simulation environment that includes cameras in public spaces and wearable sensors, and considers nudging and self-nudging processes supported by a surveillance apparatus. Building on Epstein’s threshold-based model of civil violence, the proposed simulation is informed by surveillance theories and contemplates methods for crowd monitoring and social control. The experiments’ results provide insights into how specific measures and combined actions may influence the suppression of civil violence in public spaces and can be useful to inform crowd management activities and policymaking. Moreover, we use the simulation to reflect upon the potentials and limitations of integrating agent-based models into urban digital twins and emphasize the imminent risks for individuals and democratic societies of employing a ubiquitous surveillance apparatus endowed with the autonomy to trigger actuators.https://www.cogitatiopress.com/urbanplanning/article/view/8613agent-based modelcrowd modelingsmart citysurveillance systemsurban digital twinurban planning
spellingShingle Sarah Shtaierman
Catarina Fontes
Christoph Lütge
The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation
Urban Planning
agent-based model
crowd modeling
smart city
surveillance systems
urban digital twin
urban planning
title The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation
title_full The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation
title_fullStr The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation
title_full_unstemmed The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation
title_short The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation
title_sort potentials and limitations of agent based models for urban digital twins insights from a surveillance and behavioral nudging simulation
topic agent-based model
crowd modeling
smart city
surveillance systems
urban digital twin
urban planning
url https://www.cogitatiopress.com/urbanplanning/article/view/8613
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