BIM-based safety design for emergency evacuation of metro stations

Tang, Yuchun; Xia, Nini; Lu, Ying; Varga, Liz; Li, Qiming; Chen, Guangchong; Luo, Juan

doi:10.1016/j.autcon.2020.103511

Cited by 35 publications

(17 citation statements)

References 63 publications

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“…Kaewunruen et al introduced a digital twin to evaluate and manage a subway station in Hefei City [ 26 ]. Tang et al used a building information model to reduce the emergency evacuation risk in subway operations [ 27 ]. More sophisticated safety management methodologies and tools are crucial in improving the scientific level of management and decision-making.…”

Section: Literature Reviewmentioning

confidence: 99%

Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches

Deng

Zhang

Yuan

et al. 2023

IJERPH

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Subway operation safety management has become increasingly important due to the severe consequences of accidents and interruptions. As the causative factors and accidents exhibit a complex and dynamic interrelationship, the proposed subway operation accident causation network (SOACN) could represent the actual scenario in a better way. This study used the SOACN to explore subway operation safety risks and provide suggestions for promoting safety management. The SOACN model was built under 13 accident types, 29 causations and their 84 relationships based on the literature review, grounded theory and association rule analysis, respectively. Based on the network theory, topological features were obtained to showcase different roles of an accident or causation in the SOACN, including degree distribution, betweenness centrality, clustering coefficient, network diameter, and average path length. The SOACN exhibits both small-world network and scale-free features, implying that propagation in the SOACN is fast. Vulnerability evaluation was conducted under network efficiency, and its results indicated that safety management should focus more on fire accident and passenger falling off the rail. This study is beneficial for capturing the complex accident safety-risk–causation relationship in subway operations. It offers suggestions regarding safety-related decision optimization and measures for causation reduction and accident control with high efficiency.

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Section: Literature Reviewmentioning

confidence: 99%

Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches

Deng

Zhang

Yuan

et al. 2023

IJERPH

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“…Malekitabar et al (2016) proposed five sets of safety risk drivers detectable during the design phase that can influence either the probability or the consequences of an accident, the application of which helped identify more than 40% of potential fatalities in construction projects. Tang et al (2021) developed a safety evacuation design toolbox (SEDT) based on the BIM platform to propose strategies for optimizing the station design and improve emergency evacuation safety. Lu et al (2021) developed a plug-in in Autodesk Revit that links BIM with safety risk data, which can automatically calculate construction safety risk to help architects and structural designers quickly select design alternatives while reducing occupational injuries and fatalities at the construction stage.…”

Section: Application Of Bim In Safety Risk Managementmentioning

confidence: 99%

A Bim-Based Identification and Classification Method of Environmental Risks in the Design of Beijing Subway

Zhou

Tang

Huai

et al. 2021

Journal of Civil Engineering and Management

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The subway project safety risk management in China covers design and construction stages. The traditional method for identifying construction safety risks at the design stage requires that engineers work backward, and it relies on engineers having an accurate understanding of complex engineering information, spatial relationships, and rich experience. This paper proposes a Building Information Modeling (BIM) based automatic identification and classification framework for environmental risks at the subway design stage. First, a database of discriminant rules was established in order to achieve the digital expression of the discriminant standards for environmental risks. Second, environmental models and discriminant models were created in order to analyze spatial collisions. Then, the risk discrimination algorithm was embedded in the BIM platform. The program automatically analyzed the collision result-based discrimination rule database and output a list of environmental risks associated with the model. Finally, a shield tunnel was used for practice. As a result, the BIM-based method for automatically identifying environmental risks could improve the efficiency of the special design of safety risks and promote the digital transmission of risk design information throughout the construction process. The method described in this paper provides a reference for the safety risk management technology system in China’s subway projects. This method can also be applied to projects such as underground pipe gallery, power tunnel, and foundation pit, after optimizing the classification rules.

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“…Since a building's geometry and space distribution play a significant role in the propagation of fires and the evacuation of occupants, they should be adequately considered in the building's fire evacuation management [6]. BIM is a powerful tool for risk management [7][8][9][10][11][12], especially disaster and emergency response management [13,14]. BIM has been used together with several technologies to improve safety indoors by: (i) locating and tracking occupants inside a building [15,16]; (ii) generating evacuation paths in real time [17][18][19]; and (iii) guiding users through BIM and mobile applications [14,20].…”

Section: Introductionmentioning

confidence: 99%

“…Research on early fire detection focuses on using the Internet of Things (IoT) and Artificial Intelligence (AI) to improve the evacuation of a building's occupants during Future Internet 2021, 13, 221 2 of 16 a fire emergency and the building's safety. For example, the IoT was used to monitor the temperature and smoke and carbon dioxide levels indoors [23][24][25] and the indoor location of a building's occupants [26].…”

Section: Introductionmentioning

confidence: 99%

A BIM-Based Smart System for Fire Evacuation

Wehbe

Shahrour

2021

Future Internet

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Building fires constitute a significant threat that affects property, the environment, and human health. The management of this risk requires an efficient fire evacuation system for buildings’ occupants. Therefore, a smart fire evacuation system that combines building information modeling (BIM) and smart technologies is proposed. The system provides the following capacities: (i) early fire detection; (ii) the evaluation of environmental data; (iii) the identification of the best evacuation path; and (iv) information for occupants about the best evacuation routes. The system was implemented in a research building at Lille University in France. The results show the system’s capacities and benefits, particularly for the identification of the best evacuation paths.

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BIM-based safety design for emergency evacuation of metro stations

Cited by 35 publications

References 63 publications

Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches

Analyzing Subway Operation Accidents Causations: Apriori Algorithm and Network Approaches

A Bim-Based Identification and Classification Method of Environmental Risks in the Design of Beijing Subway

A BIM-Based Smart System for Fire Evacuation

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