Design of level of service on facilities for crowd evacuation using genetic algorithm optimization

Li, Yapeng; Cai, Wei; Kana, Austin A.

doi:10.1016/j.ssci.2019.06.044

Cited by 27 publications

(7 citation statements)

References 27 publications

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“…For instance, Gao et al [69] implement an optimisation using branch and bound algorithm to reach the optimised location of doors and consequently reduce evacuation time. A genetic algorithm is used to reduce evacuation time for buildings optimisation with regards to the level of service [70]. Liu et al [71] applied Quantum Ant Colony Algorithm (QACA) to optimize evacuation paths to decrease required evacuation time.…”

Section: Application Of Optimization Methods In the Aec Industrymentioning

confidence: 99%

A BIM-Based Solution for the Optimisation of Fire Safety Measures in the Building Design

et al. 2022

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A significant number of injuries and fatalities occur annually due to fire in buildings. The proactive use of fire safety measures at the design stage can potentially lead to a considerable improvement in reducing casualties by assisting occupants in a safe evacuation. In this study, a framework is developed to obtain a set of appropriate fire safety measures while considering their effects on safe evacuation (i.e., increasing the percentage of survived occupants) and budget limits. The framework consists of four phases, namely (1) initial preparation, (2) optimisation with a meta-heuristic algorithm, (3) decision making when the designer should select appropriate measures considering the budget limit, and (4) applying the selected measures into BIM. A binary version of Billiards-inspired Optimisation Algorithm (BOA) is developed and utilised in the optimisation phase. A case study approach is adopted for this research and the performance of the proposed framework is evaluated by implementing it in two case projects: a residential building and a hospital building. The results indicate that the framework is a beneficial approach for designers to modify building designs in terms of safe evacuation at the design stage by using fire safety measures effectively and economically. It is expected that the output of this framework will help decrease fatalities of building users during a fire.

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Section: Application Of Optimization Methods In the Aec Industrymentioning

confidence: 99%

A BIM-Based Solution for the Optimisation of Fire Safety Measures in the Building Design

et al. 2022

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“…The literature was retrieved from the core collection database in the Web of Science (WOS) comprehensive bibliographic database, including the Science Citation Index Expanded, the Social Sciences Citation Index, and Conference Proceedings Citation Index. Initial searches for the topic "application of SC for emergency evacuation" were performed from October 2020 to November 2020 to determine a minimum of 19 benchmark studies (Afshar and Haghani, 2008;Alam and Habib, 2021;Dulebenets et al, 2020;Gerakakis et al, 2019;Ghasemi et al, 2019;Ibrahim et al, 2016;Krasko and Rebennack, 2017;Li et al, 2019a;Li et al, 2019b;Liu et al, 2020;Luh et al, 2012;Mei and Xie, 2019;Peng et al, 2019;Rabbani et al, 2018;S ¸ahin et al, 2019;Sharbini et al, 2021;Shen et al, 2019;Wen et al, 2019;Zhang et al, 2021a) for further research in the WOS. A limited set of keywords was extracted from these benchmark studies.…”

Section: Data Sourcesmentioning

confidence: 99%

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Liang

Wal²,

Xie³

et al. 2023

Safety Science

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“…Additionally, some passengers may get help from staff in the service counters. Obviously, exits and facilities in the station hall play an important role in safety evacuation [27,50]. Meanwhile, previous studies conducted controlled experiments on the effect of obstacle layouts on evacuation and found that different obstacle layouts have different influence on pedestrian flow [51,52].…”

Section: Simulation Scenariosmentioning

confidence: 99%

Analysis of Walking-Edge Effect in Train Station Evacuation Scenarios: A Sustainable Transportation Perspective

et al. 2019

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Due to the highly developed rail transit over the past decades, the phenomena of complex individual self-organized behaviors and mass crowd dynamics have become a great concern in the train station. In order to understand passengers’ walking-edge effect and analyze the relationship between the layout and sustainable service abilities of the train station, a heuristics-based social force model is proposed to elaborate the crowd dynamics. Several evacuation scenarios are implemented to describe the walking-edge effect in a train station with the evacuation efficiency, pedestrian flow, and crowd density map. The results show that decentralizing crowd flow can significantly increase the evacuation efficiency in different scenarios. When the exits are far away from the central axis of the railway station, the walking-edge effect has little influence on the evacuation efficiency. Obstacles can guide the movement of passengers by channelizing pedestrian flows. In addition, a wider side exit of the funnel-shaped corridors can promote walking-edge effect and decrease the pressure among a congested crowd. Besides providing a modified social force model with considering walking-edge effect, several suggestions are put forward for managers and architects of the train station in designing sustainable layouts.

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Design of level of service on facilities for crowd evacuation using genetic algorithm optimization

Cited by 27 publications

References 27 publications

A BIM-Based Solution for the Optimisation of Fire Safety Measures in the Building Design

A BIM-Based Solution for the Optimisation of Fire Safety Measures in the Building Design

Mapping the knowledge domain of soft computing applications for emergency evacuation studies: A scientometric analysis and critical review

Analysis of Walking-Edge Effect in Train Station Evacuation Scenarios: A Sustainable Transportation Perspective

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