[HTML][HTML] Crowd simulation for crisis management: The outcomes of the last decade

G Sidiropoulos, C Kiourt, L Moussiades - Machine learning with …, 2020 - Elsevier
The last decades, crowd simulation for crisis management is highlighted as an important
topic of interest for many scientific fields. As the continuous evolution of computational …

Proposing behavior-oriented strategies for earthquake emergency evacuation: A behavioral data analysis from New Zealand, Italy and Japan

G Bernardini, R Lovreglio, E Quagliarini - Safety science, 2019 - Elsevier
Individuals' safety in an earthquake highly depends on human reactions and emergency
behaviours, especially in first evacuation phases and in urban scenarios. To increase …

Terrorist acts and pedestrians' behaviours: first insights on European contexts for evacuation modelling

G Bernardini, E Quagliarini - Safety science, 2021 - Elsevier
Europe has been subject to a significant increase in terrorist acts and their impact in recent
years. In this context, real-world events pointed out how the pedestrians' safety is …

A narrative on the neurobiological roots of attachment-system functioning

A Izaki, WJMI Verbeke, P Vrticka… - Communications …, 2024 - nature.com
Attachment theory is one of the most comprehensive frameworks in social and
developmental psychology. It describes how selective, enduring emotional bonds between …

A highly effective deep learning based escape route recognition module for autonomous robots in crisis and emergency situations

R Buettner, H Baumgartl - 2019 - scholarspace.manoa.hawaii.edu
Using convolutional neural networks we extend the work by Dugdale's group on socially
relevant multi-agent systems in crisis and emergency situations by giving the artificial agent …

ESCAPE: exploring by simulation cities awareness on population evacuation

E Daudé, K Chapuis, P Taillandier, P Tranouez… - ISCRAM, 2019 - hal.science
Partial or total horizontal evacuation of populations in urban areas is an important protection
measure against a natural or technological risk. However, casualties during massive …

[HTML][HTML] Logistic regression vs machine learning to predict evacuation decisions in fire alarm situations

A Balboa, A Cuesta, J González-Villa, G Ortiz, D Alvear - Safety science, 2024 - Elsevier
In this study we assessed logistic regression and machine learning models to explore their
performance in predicting evacuation decisions and to provide readers with insights into the …

Understanding social-force model in psychological principles of collective behavior

P Wang - arXiv preprint arXiv:1605.05146, 2016 - arxiv.org
To well understand crowd behavior, microscopic models have been developed in recent
decades, in which an individual's behavioral/psychological status can be modeled and …

A multi-agent system approach in evaluating human spatio-temporal vulnerability to seismic risk using social attachment

J Bañgate, J Dugdale, E Beck, C Adam - WIT Trans. Eng. Sci, 2018 - books.google.com
The theory of social attachment states that individuals seek the proximity of attachment
figures (eg family members, friends, colleagues, familiar places or objects) when faced with …

Exploring multi-modal evacuation strategies for a landlocked population using large-scale agent-based simulations

K Chapuis, P Minh-Duc, A Brugière… - International Journal …, 2022 - Taylor & Francis
At a time when the impacts of climate change and increasing urbanization are making risk
management more complex, there is an urgent need for tools to better support risk …