Modeling and Simulation of the Effects of Social Relation and Emotion on Decision Making in Emergency Evacuation

Ta, Xuan Hien; Longin, Dominique; Gaudou, Benoît; Ho, Tuong Vinh; Nguyễn, Mạnh Hùng

doi:10.14569/ijacsa.2017.080951

Cited by 3 publications

(1 citation statement)

References 34 publications

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“…The crowd level describes whether the agent will follow the movement of the crowd. 16 To study behaviour in lift traffic, passengers are typically counted manually by human observers. If the observers are located on the ground or main entrance floor of the building, they can record only incoming and outgoing traffic.…”

Section: Literature Reviewmentioning

confidence: 99%

A field study and analysis of passengers arriving at lift lobbies in social groups in multi-storey office, hotel and residential buildings

Sorsa¹,

Siikonen²,

Kuusinen³

et al. 2020

Building Services Engineering Research and Technology

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This field study was made to study the size of social groups among passengers travelling with lifts. The group size was observed in three types of buildings located in four countries, totally in nine multi-storey buildings. The observations were carried out manually for 12 hours on a normal weekday. Analysis results show that the daily mean group size was generally low: 1.2–1.3 persons in the offices, 1.3–2.0 persons in the hotels and 1.1–1.4 persons in the residential buildings. Hourly means differed significantly from the daily means for each building. This suggests that group size should be considered on hourly or shorter basis. In addition, goodness-of-fit tests were conducted to determine a statistical model for the group size. A geometric distribution was found to fit the data the best across all building types which simplifies modeling of passenger group arrivals in buildings. Practical application: This article contributes to the understanding of lift passenger tendency to travel in socially connected groups in multi-storey buildings. A unique data set of group size observations around the world is reported on an hourly basis for office, hotel and residential buildings. A geometric distribution is proposed to model the group size statistically, which simplifies the use of socially connected groups when generating passengers in lift traffic simulations. The real-world data and the statistical model of the group size enable more realistic lift traffic simulations that are routinely conducted during the design phase of multi-storey buildings.

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Section: Literature Reviewmentioning

confidence: 99%

A field study and analysis of passengers arriving at lift lobbies in social groups in multi-storey office, hotel and residential buildings

Sorsa¹,

Siikonen²,

Kuusinen³

et al. 2020

Building Services Engineering Research and Technology

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Entropy-Based Crowd Evacuation Modeling With Seeking Behavior of Social Groups

Chen

Wang

2021

IEEE Access

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Review of Agent Based Modelling of Social Attachment in Crisis Situations

Bañgate

Dugdale

Beck

et al. 2019

International Journal of Information Systems for Crisis Response and Management

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Human behaviour during crisis evacuations is social in nature. In particular, social attachment theory posits that proximity of familiar people, places, objects, etc., promotes calm and a feeling of safety, while their absence triggers panic or flight. In closely bonded groups such as families, members seek each other and evacuate as one. This makes attachment bonds necessary in the development of realistic models of mobility during crises. This article presents a review of evacuation behaviour, theories on social attachment, crisis mobility, and agent-based models. It was found that social attachment influences mobility in the different stages of evacuation (pre, during and post). Based on these findings, a multi-agent model of mobility during seismic crises (SOLACE) is being developed, and it is implemented using the belief, desire and intention (BDI) agent architecture.

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Modeling and Simulation of the Effects of Social Relation and Emotion on Decision Making in Emergency Evacuation

Cited by 3 publications

References 34 publications

A field study and analysis of passengers arriving at lift lobbies in social groups in multi-storey office, hotel and residential buildings

A field study and analysis of passengers arriving at lift lobbies in social groups in multi-storey office, hotel and residential buildings

Entropy-Based Crowd Evacuation Modeling With Seeking Behavior of Social Groups

Review of Agent Based Modelling of Social Attachment in Crisis Situations

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