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There has been little research about incident management decision making within real-life, dynamic emergencies such as urban fire settings. So this research addresses the research problem: how do incident managers make decisions in urban fire settings? These decision behaviours cover five areas: assessment of the fireground situation, selection of a decision strategy, determination of incident objectives, deployment and management of firefighting resources and ongoing review of the incident. The paper aims to discuss these issues.

Case research was used to examine management of different types of fires, through in-depth interviews with a range of incident managers.

This research identified five key behavioural elements associated with incident management in urban fire settings such as their application of a mix of recognition-primed, value based, procedural and formal decision strategies throughout the course of an incident rather than a single style.

The in-depth framework of decision making could provide foundations for later research about other emergency settings. And this research is limited to analytic generalisation (Yin, 2009); so quantitative research such as surveys and large scale interviews could be done to further extend the research for statistical generalisation.

The decision procedures uncovered in this research will assist incident managers in many emergencies, assist policy making and foster the development of future incident managers.

The findings expand the knowledge of how incident managers develop situation awareness, make decisions and plans, implement them, and review the incident as it evolves. Another contribution is the comprehensive framework of decision making developed from these findings.

Provides snapshots of several research and development actions aimed at addressing the question of what characterizes competent command of a fire ground incident. Looks at two aspects of this question: how to describe fire ground command (what is it that fire ground commanders do?) and what qualities should be looked for in prospective fire ground commanders (what are the underlying aptitudes or competences required for effective fire ground command?). Brings together data drawn from cognitive task analysis, teamwork analysis, a recent model of incident command developed for the London Fire Brigade (LFB), job analysis focusing on aptitude requirements for fire ground commanders, and assessment centres designed for selecting fire crew commanders and senior LFB officers.

The purpose of this paper is to present the use of simulation in both the development and assessment of Fire & Rescue Service incident commanders. Continuous development and assessment is required due to a reduction in incident numbers causing skill fade.

This paper details the development and implementation of the “Introspect model” of assessment by Oxfordshire Fire & Rescue Service (OFRS) over a five-year time-span, and discusses its key findings in line with current decision-making ideologies and principles.

The “Introspect model” provides a unique assessment and development tool, which adheres to current national guidelines. It is also an accredited component of incident commander development within OFRS. The authors propose that this model becomes “best practice” for other Fire and Rescue Services.

The national use of the “Introspect model” will ensure that all incident commanders benefit from understanding the rationale behind their decisions, striving towards a universal state of unconscious competence within incident command nationally on the fire-ground.

The originality/value of this paper lies in an in-depth analysis of simulation-based software for the development and assessment of incident commanders. This paper is the first to suggest a model of “best practice” regarding the assessment and development of Fire and Rescue Service incident commanders.

A feed-forward back-propagation neural network (NN) is proposed to model number of firefighters responding to different fire incidents. Such a predictor model can estimate number of firefighter personnel required to tackle new incidents. This a priori information at the time of dispatch can help saving unnecessary efforts in low-risk incidents while focussing on high-risk ones to reduce overall damages and injuries caused by the fire incidents.

A fully connected multilayer NN was adapted as the prediction model. The network was trained on a large number of fire incident records reported in Toronto area between 2000 and 2006 and then its performance was evaluated on another set of never seen records. Two types of prediction were done to model number of responding personnel: a rough category prediction and an exact number prediction.

Results obtained reported a very promising ability of this approach to model number of firefighters responding to a fire incident.

Such a model can significantly reduce uncertainties on the requirements needed for tackling a fire incident once it is reported.

The purpose of this paper is twofold: first is to examine the changing spatio-temporal patterns and regional trends in residential fires; and second is to investigate the likely association of fire risk with seasons, calendar events and socio-economic disadvantage.

Using spatial analytic and predictive techniques, 11 years of fire incident data supplied by the Queensland Fire and Emergency Services are mapped and analysed.

The results show significant spatial and temporal variability in the distribution of residential fires. Residential fire incidents are more likely to occur in the inner city and across more disadvantaged areas. Mapped outputs show some areas in Brisbane at a higher risk of fire than others and that the risk of fire escalates at specific times of the year, in neighbourhoods with a higher disadvantage, during major sporting events and school holidays. The residential fires showed strong seasonal periodicity. There is a continuous yet gradual increase in the number of fire incidents recorded for all five sub-regions within SEQ. Sunshine Coast experienced the highest upward trend whereas Toowoomba and West Moreton show the lowest increase.

This study provides an empirical basis to guide future operational strategies through targeting high fire risk areas at particular times. This, in turn, will help utilise finite resources in areas where and when they need and thus enable minimise emergency management costs.

This paper aims to develop a conceptual model for future theory building and provides guidance to emergency managers by identifying important organizational factors influencing emergency response performance.

A conceptual framework is developed linking organizational characteristics and incident types to emergency response performance, focusing on the “prepare” and “respond” stages in emergency management. Archival data are used to test the framework, using ANOVA to analyze 12,057 incidents over a nine-year period.

The results indicate that organizational characteristics impact emergency response performance through Knowledge of Location. Several organizational factors impact Knowledge of Location, which then serves, with incident type, as a significant indicator for emergency response performance.

Researchers are constrained by the data collected in the database used for the study; however, the use of this commonly collected data to operationalize our variables for model testing facilitates analysis of other emergency management organizations for validation. Future model extension is possible by identifying other important variables.

The analysis emphasizes the importance of area familiarization training in improving emergency response as well as the impact of organizational structure changes on response. Emergency managers should ensure clear lines of authority and communication during times of change.

This is one of the few studies to use empirical data from a large-scale, real-world database to study emergency response performance. In contrast to previous modeling-based research, this study emphasizes organizational characteristics with an empirical perspective.

Incidents requiring command and control require all personnel from firefighters (FFs) to the incident commander (IC) to make continuous decisions often with limited information and under acute time-pressure. Therefore, the purpose of this paper is to explore the stress reactivity of specific roles during the command and control of an immersive, computer-based incident.

Experienced firefighting personnel undergoing incident command training participated in this study. Participants completed measures of state anxiety and stress immediately before and after taking part in a computer-based simulation of a large-scale incident run in real time. During the simulation personnel assumed one of four roles: IC, sector commander, entry control officer (ECO), and command support officer. Following the simulation personnel then completed measures of perceived workload.

No significant changes in state anxiety were observed, but levels of stress and perceived workload were related to task roles. Specifically, ICs reported the greatest levels of mental and temporal demands and stress when compared with ECOs.

Limitations include the lack of environmental factors (such as rain, darkness, and noise), a relatively small sample size, and the use of self-reported questionnaires.

The application of immersive training environments as a method of developing FFs experience of incident command roles and skills pertinent to high-acuity, low-frequency events.

The paper represents one of the first attempts to identify the self-reported anxiety, stress, and perceived workload of specific role demands during the command and control of simulated incidents.

This research aims to provide optimization and route safety planning employing the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) technique.

This research combines the use of graphical, communication tools and simulated models based on building information modeling (BIM) technology and agent-based modeling (ABM) to identify a safe evacuation route. Adopting the multi-criteria decision-making (MCDM) approach, the proposed rescue plan can reduce potential hazards along the evacuation route by selecting a safe route for evacuating residents and entering firefighters to the scene of the incident.

The results show that the use of simulated models along with MCDM methods in the selection of safe routes improves the performance of safe evacuation operations for both relief groups and residents.

The introduced model can improve the performance management of different groups at the time of the incident and reduce casualties and property losses using the information received from sensors at the scene. Moreover, the proposed rescue plan prevents group and individual reactivation at the time of the incident.

Despite many advances in the architecture, engineering and construction (AEC) industry, the number of victims of fire incidents in buildings is increasing compared to other natural disasters. Improving decision management based on effective parameters at the time of incident reduces casualties of residents and rescue workers.

Almost every year the nation was shocked by the fire incident at school and hostel. The Fire and Rescue Department of Malaysia (2020) recorded 216 fires that have occurred at the private Islamic religious schools from 2015 until 2019, where several fires have killed many students, such as accidents in 1985, 1998, 2013, 2014 and 2017. As a result, the public began questioning the level of awareness among the school administrators. Addressing these issues, a survey has been conducted on the private Islamic religious schools that had experienced fire incidents in order to identify the awareness level among the administrators and students and to investigate whether aspects of compliance with fire safety procedures are enhanced. Four groups of respondents were selected, in which the Department of Fire and Rescue acts as a focus group. The other three groups are the victims who have faced the fire itself in their respective schools. The findings highlighted that the awareness level among victims towards the fire prevention practices is very low. Evidence has revealed there is no periodic supervision towards fire safety equipment, and only 35% comply with the standard procedure. Experts suggest sustainable school building should introduce to meet the criteria in performance-based fire management solutions. This reflects the fact that building continuity and fire safety can be complementary, not contradictory, if the two disciplines engage in meaningful dialogue at the beginning of the design process.

The critical decision method (CDM) is a technique for obtaining data on real decision making in natural settings. It has been applied in a number of civilian and military settings, and generates data that are rich in content (what happened?), context (when and where did it happen?) and process (why did it happen?). The application described is part of a larger research and development project concerned with developing and maintaining the competence of London Fire Brigade officers. Uses a case study of one recent incident to provide an example of the data generated by CDM, and discusses further steps in exploiting this data for the purpose of simulation‐based assessment.