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The paper "Simulating dynamical features of escape panic" by Helbing, Farkas, and Vicsek, published over two decades ago in Nature, has left an indelible mark on the field of crowd dynamics. With nearly 3,000 citations to date, according to the Web of Science records, and significant influence, it has shaped the crowd dynamics field. This analysis investigates the overall influence of this paper through a variety of indicators, mapping its reach across research areas. The intellectual foundation of the paper is traced, examining the references cited. The terminological impact is also explored, showing how the paper made use of terms like "panic" and "herding". Moreover, the alignment of the assumptions of the paper with empirical evidence is discussed, finding discrepancies in key assertions about panic behaviour. The numerical simulations of the paper and observations have significantly influenced the field, such as for the case of the "faster-is-slower" phenomenon. The paper remains a key pillar in crowd dynamics, nevertheless, we advocate for a new course of the field shifting away from the terminology adopted in the paper and focusing more on empirical evidence., Comment: Submission to the Special Issue of the Pedestrian and Evacuation Dynamics conference 2023

This article presents experimental data sets about the evacuation movement and behaviour of preschool children observed during 15 evacuation drills in 10 nursery schools in the Czech Republic involving 970 children (3-7 years of age) and 87 staff members. The movement characteristics and behaviour of the children were studied in 100 measurement areas defined on evacuation routes in corridors, on staircases, and in doorways. A total of 23000 data points were gathered to investigate travel speeds, specific flows, densities, and their relationships, as well as movement behaviour and procedures during the evacuation drills. Variables of interest included the levels of physical assistance provided to children, hand holding behaviour, use of handrails, and footstep patterns on staircases (i.e., marking time patterns). The observations revealed that the movement characteristics of preschool-age children were age-dependent. On horizontal routes, higher travel speeds were measured in corridors (mean value 1.9 m/s) than for landings of straight staircases (mean value 0.96 m/s) and doorways (mean value 0.99 m/s). Nine behavioural statements summarising the evacuation movement behaviour of preschool children observed in this study are presented in order to enrich future applicability of the findings in engineering applications (e.g., evacuation modelling).

This article presents experimental data sets and information about the pre-movement behaviour and specific evacuation conditions observed in 15 evacuation drills in 10 nursery schools in the Czech Republic involving 970 children (3-7 years of age) and 87 staff members. Based on the analysis of video recordings, over 1800 data points describing pre-movement times, the interpretation of warning signals, the reactions and activities of staff members and children, levels of physical assistance provided to the children, and exiting strategies were gathered, interpreted, and compared to key literature findings. Our observations showed that pre-movement times measured during the drills ranged from 3 to 59 s, depending on experimental conditions, and physical help was provided to 25% of the participating children. The pre-movement behaviour of the participants was strongly influenced by the instructions provided to children as well as the daily routines, rules, and educational practices employed in the nursery schools. In addition, the principles of the affiliation model and role-rule model were identified as applicable to preschool children. To enable engineering applications (e.g., in evacuation modeling studies), findings are presented together with a set of nine behavioural statements regarding the pre-movement behaviour of preschool children.

Crowd models can be used for the simulation of people movement in the built environment. Crowd model outputs have been used for evaluating safety and comfort of pedestrians, inform crowd management and perform forensic investigations. Microscopic crowd models allow the representation of each person and the obtainment of information concerning their location over time and interactions with the physical space/other people. Pandemics such as COVID-19 have posed several questions on safe building usage, given the risk of disease transmission among building occupants. Here we show how crowd modelling can be used to assess occupant exposure in confined spaces. The policies adopted concerning building usage and social distancing during a pandemic can vary greatly, and they are mostly based on the macroscopic analysis of the spread of disease rather than a safety assessment performed at a building level. The proposed model allows the investigation of occupant exposure in buildings based on the analysis of microscopic people movement. Risk assessment is performed by retrofitting crowd models with a universal model for exposure assessment which can account for different types of disease transmissions. This work allows policy makers to perform informed decisions concerning building usage during a pandemic.

In today's terrorism-prone and security-focused world, evacuation emergencies, drills, and false alarms are becoming more and more common. Compliance to an evacuation order made by an authority in case of emergency can play a key role in the outcome of an emergency. In case an evacuee experiences repeated emergency scenarios which may be a false alarm (e.g., an evacuation drill, a false bomb threat, etc.) or an actual threat, the Aesop's cry wolf effect (repeated false alarms decrease order compliance) can severely affect his/her likelihood to evacuate. To analyse this key unsolved issue of evacuation research, a game-theoretic approach is proposed. Game theory is used to explore mutual best responses of an evacuee and an authority. In the proposed model the authority obtains a signal of whether there is a threat or not and decides whether to order an evacuation or not. The evacuee, after receiving an evacuation order, subsequently decides whether to stay or leave based on posterior beliefs that have been updated in response to the authority's action. Best-responses are derived and Sequential equilibrium and Perfect Bayesian Equilibrium are used as solution concepts (refining equilibria with the intuitive criterion). Model results highlight the benefits of announced evacuation drills and suggest that improving the accuracy of threat detection can prevent large inefficiencies associated with the cry wolf effect., Comment: To be published in Physica A