The Potentials and Limitations of Agent-Based Models for Urban Digital Twins
Insights From a Surveillance and Behavioral Nudging Simulation
Dados Bibliográficos
| ID | 22017972 |
|---|---|
| Autores | Sarah Shtaierman (Technical University of Munich), Ana Catarina Fontes (0000-0002-1341-8671, Technical University of Munich), Christoph Lütge (0000-0002-3870-4789, Technical University of Munich) |
| Ano | 2025 |
| Volume | 10 |
| Data de publicação | 2025-01-21 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Urban Planning (JOURNAL) |
| Identificadores do periódico | ISSN: 2183-7635 • E-ISSN: 2183-7635 |
| Editora | Cogitatio (PUBLISHER • PT) |
| DOI | 10.17645/up.8613 |
| OpenAlex | W4403942197 |
| Idioma | EN |
| Citações recebidas | 2 |
| Referências citadas | 52 |
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
Agent-based model · Cognitive psychology · Data science · Human–computer interaction · Computer Science · Economic and Technological Systems Analysis · Human Mobility and Location-Based Analysis · Psychology · Smart Cities and Technologies · Artificial Intelligence
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Smart cities of the future
Should Governments Invest More in Nudging?
Modeling civil violence
The Burnout Society
Human digital twins unlocking Society 5.0? Approaches, emerging risks and disruptions
Artificial intelligence and smart cities
Between security and convenience
Postscript on the Societies of Control
Crowd Detection in Mass Gatherings Based on Social Media Data
Nonlinear Dynamics of Crime and Violence in Urban Settings
The spectrum of control
Crowdsourcing Homeland Security
Protesters’ Reactions to Video Surveillance of Demonstrations
How to Watch the Watchers? Democratic Oversight of Algorithmic Police Surveillance in Belgium
Resistance against Cyber-Surveillance within Social Movements and how Surveillance Adapts
Legalizing Illegal Mass Surveillance
Governing AI during a pandemic crisis
AI-powered public surveillance systems
Questioning the EU proposal for an Artificial Intelligence Act
Vigilância e Relações de Poder - O Uso de Tecnologias de Reconhecimento Facial e Identificação Biométrica a Distância em Espaço Público e Impactos na Vida Pública
The `Surveillance Society
The Chilling Effects of Digital Dataveillance
The Nation-State and Violence
| Obras citantes distintas | 2 |
|---|---|
| Citações por ano | 2 |
| Intervalo de citações | 2025 - 2025 (1) |
| Velocidade de citação | recent |
| Altamente citado | Não |
| Tipos de citação | Neutras: 2 |