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The purpose of this paper is to conduct a comprehensive study on building, fire and evacuation, so as to effectively improve the efficiency of building fire evacuation and the management level of fire evacuation site. Make up for the difficulties of BIM technology in effectively connecting building information and fire data.

First, this paper establishes a fire model and an evacuation model based on BIM information. Then, the safety index (SI) is introduced as a comprehensive index, and the IRI is established by integrating the SI function to evaluate the safety of evacuation routes. Based on these two indices, the IRI-based fire evacuation model is established.

This study offers an Improved Risk Index (IRI)-based fire evacuation model, which may achieve effective evacuation in fire scenes. And the model is verified by taking the fire evacuation of a shopping center building as an example.

This paper proposes a fire evacuation principle based on IRI, so that the relevant personnel can comprehensively consider the fire factors and evacuation factors to achieve the optimization of building design, thereby improving the fire safety of buildings.

The purpose of this paper is to present the findings of a theoretical calculation for the emergency evacuation of an auditorium facility managed by a university in Saudi Arabia.

The authors reviewed the published literature to identify the sources of fire incidence, guidelines for means of escape in assembly occupancies and human behavior in fire emergencies. The theoretical method of the SFPE handbook to estimate the required evacuation time was subsequently applied to a case study of an auditorium facility managed by a university located in Saudi Arabia. Finally, the authors developed recommendations for the performance-based fire safety evacuation of the auditorium facility under review.

The study showed that a total of 6 minutes 39 seconds is needed to evacuate the whole auditorium. However, reviewed literature for assembly occupancies requires between 4 minutes 30 seconds and 6 minutes 24 seconds for total evacuation. Though, the calculated evacuation time is close to generally acceptable limits. It was noted that overcrowding and bottlenecks may be formed in some of the exit routes.

This paper will stimulate and increase research and industry concern for performance-based design of assembly-type facilities. This will be of significant value to designers, engineers, facilities managers, and owners in ensuring the safety of occupants in assembly-type facilities.

Schools are vulnerable to strong-magnitude earthquakes. The purpose of this study is to develop a seismic evacuation safety index (ESI) to assess school’s safety as a function of the following parameters: means of egress, disaster preparedness and disaster response. Moreover, the study aims to simulate and study an evacuation model to estimate evacuation time for a realistic understanding of the evacuation processes.

The paper used a semi-quantitative risk assessment method in developing the ESI. This was used to evaluate schools and classify them according to their level of evacuation safety. To estimate the evacuation time of each school, cellular automata theory and static floor field were used.

The paper provides primary school stakeholders important parameters that they should consider in preparing pre-disaster plans to ensure safe evacuation of school children.

ESI focuses only on the means of egress, disaster preparedness and disaster response as the contributing factors. The structural conditions of each school building and assessment of non-structural elements are not considered.

The ESI and the evacuation model can be used as a basis for evacuation planning and decision-making. This can help building owners and administrators in strengthening their disaster risk management plan by enforcing mitigating measures.

ESI is an original idea and fills the gap regarding the safe evacuation of school children especially during a major seismic event.

The purpose of this paper is to design a numerical model to calculate the individual evacuation time among secondary students based on Knowledge, Attitude and Practice (KAP), human characteristics and travel distances.

Validated KAP questionnaires were distributed among 290 respondents. The KAP level was obtained based on the assigned scores. During a fire drill, the individual evacuation time was calculated by using personal digital watch while the travel distances were recorded and measured. A linear numerical model was derived by using multiple linear regression to identify the significant variables and the coefficients.

The CVI, CVR and Cronbach’s α value (0.75, 0.59 and 0.7, respectively) which are greater than minimum accepted level proved the reliability and consistency of the instrument. The evacuation time prediction by the developed numerical model showed strong correlation with the actual time (R=0.95). The regression analysis found that 89 per cent proportion of variance in the evacuation time are determined by the predictors. Based on the linear equation, it found that the decrease in weight, knowledge level and walking speed while increase in BMI, flat and stair travel distances could increase evacuation time. From the six significant variables, weight, walking speed, flat and stair distances showed significant correlation in the model with p<0.001, while BMI and knowledge showed p<0.05. The integration with mobility factors expand the formula which applicable within dynamic fire scenario.

The involvement of examination students in the study is restricted by the Ministry of Education Malaysia to avoid interruption of learning session which limited the data representation.

Instead of using the traditional direct measurement of the evacuation time, the developed numerical model is an alternative convenient approach which could be used as one of the pre-assessment tool to identify the level of safety among students. The low cost and shorter time application of this model become one of the greatest advantages compared to other available approaches. The calculated individual evacuation time could be used directly to develop a better fire safety policy.

Metro stations have become a crucial aspect of urban rail transportation, integrating facilities, equipment and pedestrians. Impractical physical layout designs and pedestrian psychology impact the effectiveness of an evacuation during a metro fire. Prior research on emergency evacuation has overlooked the complexity of metro stations and failed to adequately consider the physical heterogeneity of stations and pedestrian psychology. Therefore, this study aims to develop a comprehensive evacuation optimization strategy for metro stations by applying the concept of design for safety (DFS) to an emergency evacuation. This approach offers novel insights into the management of complex systems in metro stations during emergencies.

Physical and social factors affecting evacuations are identified. Moreover, the social force model (SFM) is modified by combining the fire dynamics model (FDM) and considering pedestrians' impatience and panic psychology. Based on the Nanjing South Metro Station, a multiagent-based simulation (MABS) model is developed. Finally, based on DFS, optimization strategies for metro stations are suggested.

The most effective evacuation occurs when the width of the stairs is 3 meters and the transfer corridor is 14 meters. Additionally, a luggage disposal area should be set up. The exit strategy of the fewest evacuees is better than the nearest-exit strategy, and the staff in the metro station should guide pedestrians correctly.

Previous studies rarely consider metro stations as sociotechnical systems or apply DFS to proactively reduce evacuation risks. This study provides a new perspective on the evacuation framework of metro stations, which can guide the designers and managers of metro stations.

The purpose of this paper is to investigate human behaviour under a situation of fire in high-rise residential buildings and identify the factors that motivate people to evacuate.

A literature review was conducted to identify different factors of human behaviour during a situation of fire and identify challenges during the evacuation. Through a mixed research method approach, the paper identifies human background, experience and knowledge with fire safety. The paper discusses the challenges occupants face during evacuation based on previous evacuation experience and what occupants were doing during the fire alarm.

The paper has identified the challenges and the factors that affect occupants’ decision during fire emergency in high-rise residential buildings. It is clear from the findings that occupants have limited knowledge and skills on how to deal with fire emergencies. Occupants tend to depend on other evacuation routes. Occupants tend to ignore the fire alarm and usually they investigate if it is true or false.

The paper provides the knowledge and findings of occupants during fire emergency to fire engineers, facility managers, owners, and other professionals to assist during the design phase, and modify designs based on this findings of this research.

The purpose of this paper is to propose a theoretical framework of applying the Internet of Things (IoT) technologies to the intelligent evacuation protocol in libraries at emergency situations.

The authors conducted field investigations on eight libraries in Wuhan, China, analyzed the characteristics of crowd gathering in libraries and the problems of the libraries’ existing evacuation plans. Therefore, an IoT-based intelligent evacuation protocol in libraries was proposed. Its basic structure consisted of five components: the information base, the protocol base, the IoT sensors, the information fusion system and the intelligent evacuation protocol generation system. In the information fusion system, Dempster–Shafer (D-S) evidence theory was employed as the information fusion algorithm to fuse the multi-sensor information at multiple time points, so as to reduce the uncertainty of disaster prediction. The authors also conducted a case study on the Library L in Wuhan, China. A specific evacuation route was generated for a fire and the crowd evacuation was simulated by the software Patherfind.

The proposed IoT-based evacuation protocol has four distinguishing features: scenario corresponding, precise evacuation, dynamic correction and intelligent decision-making. The case study shows that the proposed protocol is feasible in practice, indicating that the IoT technologies have great potential to be successfully applied to the safety management in libraries.

The software and hardware requirements as well as the Internet network requirements of IoT technologies need to be further discussed.

The proposed IoT-based intelligent evacuation protocol can be widely used in libraries, which is one of the inspirations for the use of IoT technologies in modern constructers.

The application of IoT technologies in libraries is a brand-new topic that has drawn much attention in academia recently. The crowd safety management in libraries is of great significance, and there is little professional literature on it. This paper proposes an IoT-based intelligent evacuation protocol, aiming at improving the safety management in libraries at emergency situations.

Modern subway transportation systems need to satisfy increasing safety demands to rapidly evacuate passengers under hazardous emergency circumstances, such as fires, accidents or terrorist attacks, to reduce passenger injuries or life losses. The emergency evacuation capacity (EEC) of a subway station needs to be revised timely, in case passenger demand increases or the evacuation route changes in the future. However, traditional ways of estimating EEC, e.g. fire drills are time- and resource-consuming and are difficult to revise from time to time. The purpose of this study is to establish an intuitive modelling approach to increase the EEC of subway stations in a stepwised manner.

This study develops an approach to combine agent-based evacuation modelling and building information modelling (BIM) technology to estimate the total evacuation time of a subway station.

Evacuation time can be saved (33% in the studied case) from iterative improvements including stopping escalators running against the evacuation flow and modifying the geometry around escalator exits. Such iterative improvements rely on integrating agent-based modelling and BIM.

The agent-based model can provide a more realistic simulation of intelligent individual movements under emergency circumstances and provides precise feedback on locations of evacuation bottlenecks. This study also examined the effectiveness of two rounds of stepwise improvements in terms of operation or design to increase the EEC of the station.

The development of urban underground complexes (UUCs) has great positive significance for improving urban safety. Therefore, it is necessary to identify the key factors of the people's behavior of evacuation route selection (BERS) for fire emergencies and UUCs’ development. This study aims to find out the factors affecting people's BERS in the evacuation process of UUCs.

This study aims to find out the factors affecting people's BERS in the evacuation process of UUCs. To achieve this goal, the authors conducted a field experiment in F City. Furthermore, the people's BERS are obtained by using a structural equation model and compared with the field test results.

The authors found that the key factors for people's BERS are lighting conditions, route distance, flow direction guidance and indication. The results of this study contribute to the safety field by providing key factors for fire emergencies. It can also be used to improve fire safety management, evacuation strategies and assist in the development of intelligent evacuation systems.

The results of this study contribute to the safety field by providing key factors for fire emergencies. It can also be used to improve fire safety management, evacuation strategies and assist in the development of intelligent evacuation systems.

This paper aims to investigate the effectiveness of early warning and community cooperation for evacuation preparedness from mega-risk type coastal hazard in childcare centers, focusing in the evacuation of childcare centers from tsunami at the time of the Great East Japan Earthquake occurred on March 11, 2011.

As the research method, surveys were conducted in public childcare centers affected by tsunami in Kesennuma city in Miyagi Prefecture and Kamaishi city in Iwate Prefecture.

As the main findings, facilities, where teachers and children started evacuation immediately after the earthquake, could have more conditions to get cooperation from the local community to evacuate children in wide-scale urban environment. Children 3-5 years old tended to be instructed to walk two abreast under the lead of teachers, and children 0-2 years old tended to be carried by the piggyback ride and multi-passenger baby strollers. The destination of evacuation needed to be changed several times because of the risks for higher tsunami and fire outbreaks.

As future issues, it is necessary to analyze the walking capability of children and the transportation capability of multi-passenger baby strollers by teachers, to address strategies to quantify the necessary community cooperation based on the severity of early warning.

Most of the past studies regarding disaster preparedness of nursery children are limited within the facility in case of fire. This work has importance as it focused on the emergency responses that require urban-scale evacuation in ascending route that differ from that which are required in the case of fire.