Validation of an agent-based building evacuation model with a school drill

Poulos, Alan; Tocornal, Felipe; Llera, Juan Carlos de la; Mitrani-Reiser, Judith

doi:10.1016/j.trc.2018.10.010

Cited by 63 publications

(34 citation statements)

References 34 publications

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“…The city evacuation model used herein is based on the work of Poulos et al (2018). In this ABM, each agent (person) has the objective of reaching a certain location while avoiding collisions with other agents and static obstacles.…”

Section: Evacuation Modelmentioning

confidence: 99%

Modeling the Impact of Earthquake-Induced Debris on Tsunami Evacuation Times of Coastal Cities

et al. 2019

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Tsunami alerts following severe earthquakes usually affect large geographical regions and require people to evacuate to higher safety zones. However, evacuation routes may be hindered by building debris and vehicles, thus leading to longer evacuation times and an increased risk of loss of life. Herein, we apply an agent-based model to study the evacuation situation of the coastal city of Iquique, north Chile, where most of the population is exposed to inundation from an incoming tsunami. The study evaluates different earthquake scenarios characterized by different ground motion intensities in terms of the evacuation process within a predefined inundation zone. Evacuating agents consider the microscale interactions with cars and other people using a collision avoidance algorithm. Results for the no ground shaking scenario are compared for validation with those of a real evacuation drill done in 2013 for the entire city. Finally, a parametric analysis is performed with ten different levels of ground motion intensity, showing that evacuation times for 95% of the population increase in 2.5 min on average when considering the effect of building debris.

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Section: Evacuation Modelmentioning

confidence: 99%

Modeling the Impact of Earthquake-Induced Debris on Tsunami Evacuation Times of Coastal Cities

et al. 2019

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“…This simulation certified via comparing the real event, which shot video of the event, and expected a result from the developed model simulation, errors between the real and expected was the only % 7.6. Hence, output said that utilizing a mathematical model in evacuation for adapting logistical issues in an emergency arrangement is fair [95].…”

Section: Agent-based Modelmentioning

confidence: 99%

A Comprehensive Study on Pedestrians’ Evacuation

Muhammed¹,

Saeed²,

Rashid³

2019

Int. J. Recent Contrib. Eng. Sci. IT

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Human beings face threats because of unexpected happenings, which can be avoided through an adequate crisis evacuation plan, which is vital to stop wound and demise as its negative results. Consequently, different typical evacuation pedestrians have been created. Moreover, through applied research, these models for various applications, reproductions, and conditions have been examined to present an operational model. Furthermore, new models have been developed to cooperate with system evacuation in residential places in case of unexpected events. This research has taken into account an inclusive and a 'systematic survey of pedestrian evacuation' to demonstrate models methods by focusing on the applications' features, techniques, implications, and after that gather them under various types, for example, classical models, hybridized models, and generic model. The current analysis assists scholars in this field of study to write their forthcoming papers about it, which can suggest a novel structure to recent typical intelligent reproduction with novel features.

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“…Although many studies have been conducted, most studies on emergency evacuation were restricted to single building [23,24] or large-scale evacuations [22,25], while few studies focused on community-scale evacuation [6]. In addition, in the existing study of emergency evacuation of urban communities, there are two important issues rarely considered by researchers.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Flood Evacuation Process in Vulnerable Community with Mutual Aid Mechanism: An Agent-Based Simulation Framework

Wang

Huang

Wang

et al. 2020

IJERPH

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Timely and secure evacuation of residents during flood disasters or other emergency events is an important issue in urban community flood risk management, especially in vulnerable communities. An agent-based modeling framework was proposed in order to indicate how the community properties (e.g., community density and percentage of vulnerable residents), residents’ psychological attributes (e.g., flood risk tolerance threshold) and mutual aid mechanism affect the flood evacuation process. Results indicated that: (1) The community density negatively affected the flood evacuation efficiency. The greater the density of the community, the longer the evacuation time. (2) There was a negative correlation between the flood risk tolerance threshold of residents and evacuation efficiency. (3) The proportion of vulnerable resident agents had opposite effects on the evacuation efficiency of different types of communities, which was to negatively affect low-density communities and positively affect high-density communities. (4) Mutual aid mechanism can reduce evacuation time in low-density communities, and the effect was more pronounced with a higher proportion of vulnerable resident agents in the community. These findings can help managers to develop better emergency evacuation management for urban communities.

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Validation of an agent-based building evacuation model with a school drill

Cited by 63 publications

References 34 publications

Modeling the Impact of Earthquake-Induced Debris on Tsunami Evacuation Times of Coastal Cities

Modeling the Impact of Earthquake-Induced Debris on Tsunami Evacuation Times of Coastal Cities

A Comprehensive Study on Pedestrians’ Evacuation

Analysis of Flood Evacuation Process in Vulnerable Community with Mutual Aid Mechanism: An Agent-Based Simulation Framework

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