Fire Departments

Author(s):  
Amy S. Greenberg
Keyword(s):  
2012 ◽  
Author(s):  
Dirk Degel ◽  
Sebastian Rachuba ◽  
Brigitte Werners ◽  
Lara Wiesche

Author(s):  
Julia Gonschorek ◽  
Anja Langer ◽  
Benjamin Bernhardt ◽  
Caroline Räbiger

This article gives insight in a running dissertation at the University in Potsdam. Point of discussion is the spatial and temporal distribution of emergencies of German fire brigades that have not sufficiently been scientifically examined. The challenge is seen in Big Data: enormous amounts of data that exist now (or can be collected in the future) and whose variables are linked to one another. These analyses and visualizations can form a basis for strategic, operational and tactical planning, as well as prevention measures. The user-centered (geo-) visualization of fire brigade data accessible to the general public is a scientific contribution to the research topic 'geovisual analytics and geographical profiling'. It may supplement antiquated methods such as the so-called pinmaps as well as the areas of engagement that are freehand constructions in GIS. Considering police work, there are already numerous scientific projects, publications, and software solutions designed to meet the specific requirements of Crime Analysis and Crime Mapping. By adapting and extending these methods and techniques, civil security research can be tailored to the needs of fire departments. In this paper, a selection of appropriate visualization methods will be presented and discussed.


Author(s):  
Emily J. Haas ◽  
Alexa Furek ◽  
Megan Casey ◽  
Katherine N. Yoon ◽  
Susan M. Moore

During emergencies, areas with higher social vulnerability experience an increased risk for negative health outcomes. However, research has not extrapolated this concept to understand how the workers who respond to these areas may be affected. Researchers from the National Institute for Occupational Safety and Health (NIOSH) merged approximately 160,000 emergency response calls received from three fire departments during the COVID-19 pandemic with the CDC’s publicly available Social Vulnerability Index (SVI) to examine the utility of SVI as a leading indicator of occupational health and safety risks. Multiple regressions, binomial logit models, and relative weights analyses were used to answer the research questions. Researchers found that higher social vulnerability on household composition, minority/language, and housing/transportation increase the risk of first responders’ exposure to SARS-CoV-2. Higher socioeconomic, household, and minority vulnerability were significantly associated with response calls that required emergency treatment and transport in comparison to fire-related or other calls that are also managed by fire departments. These results have implications for more strategic emergency response planning during the COVID-19 pandemic, as well as improving Total Worker Health® and future of work initiatives at the worker and workplace levels within the fire service industry.


2020 ◽  
Vol 62 (1) ◽  
pp. e13-e16
Author(s):  
Marcos O. Marimon ◽  
Katerina M. Santiago ◽  
Alberto J. Caban-Martinez ◽  
Natasha Schaefer Solle ◽  
Manuel Fonseca ◽  
...  

1985 ◽  
Vol 1 (3) ◽  
pp. 675-685 ◽  
Author(s):  
Charles Scawthorn ◽  
Gilles Bureau ◽  
Craig Jessup ◽  
Robert Delgado

Fire following the April 24, 1984, Morgan Hill earthquake (M 6.2) was a primary cause of damage in the cities of Morgan Hill and San Jose, California. Delays in telephone dial tones, perceived as telephone outages, resulted in delayed reports of structural fires to fire departments. A fire at a shopping center in San Jose was the largest single loss in the earthquake, totaling approximately $1 million. Multiple non-fire specific incidents which fire departments were called upon to respond to, such as gas investigations, structural damage checks, downed power wires and medical aid, placed additional heavy demand on limited resources.


2006 ◽  
Vol 31 (1) ◽  
pp. 62-69
Author(s):  
Sisi Zlatanova ◽  
Peter van Oosterom ◽  
Edward Verbree

Within the management of urban disasters, geo-information systems (GIS) are used in any of the phases of mitigation, preparedness, response and recovery as most of the required data have a spatial component. Examples of GIS-based decision support systems on mitigation are found in simulation models of floods and earthquakes. In the preparation phase all kinds of spatial observations and models can be used to predict which areas will be threatened. To prepare for adequately responding in case of an actual disaster, these systems are capable of developing realistic scenarios that are used within training and virtual reality (VR) systems. During the actual response phase geo-information is used intensively: for getting an impression of the environment, for routing, for obtaining up-to-date information about the actual situation, etc. In the recovery phase, there is often a high public and political interest to judge the situation - comparing the pre- and post-disaster situation - and to set priorities for the rebuilding. Despite this potential of GIS-based support for urban disaster management, the use of these systems or even the utilisation of geo-information itself is still very limited in countries in Africa, Asia and Latin America. The emergency management is usually done with paper maps that are seldom up-to-date. Useful systems to support decision makers in any of the phases of disaster management are nearly completely lacking. To improve the work of decision makers and rescue teams, different premises have to be archived in relation to: meta-information to provide insight on the availability and usefulness of the geo-information itself, the technical equipment of the rescue teams (i.e. communication devices and field computers), and the up-to-date information from the affected areas (images, observations, reports). This paper suggests a framework for “urban and urgent” disaster management to facilitate the work of police forces, fire departments, ambulances and government coordinators in disaster situations by extending and improving the utilisation of geo-information. Within a pre-disaster situation, geo-information support management further can assist planning for prevention and mitigation.


2020 ◽  
Vol 20 (2) ◽  
pp. 133-145 ◽  
Author(s):  
Hyeongho Choi ◽  
Euipyeong Lee

32,000 fire fighters from 451 fire departments in 41 prefectures were mobilized to support and assist fire extinguishing and lifesaving in the Hyogo Prefecture Nanbu Earthquake that occurred on January 17, 1995. Based on this experience, the emergency fire response team for disaster response (EFRT) was established by the Fire and Disaster Management Agency (FDMA) on June 30, 1995. When large scale disasters occur over wide areas, EFRTs in Japan are dispatched to the disaster places to assist fire fighting on demand or by the order of the commissioner of the FDMA. This study analyzed the background required for establishing the EFRT; the process and details of the legislation; the establishment of basic plans, organizations, and operation plans; and assistance dispatch along with the plan for receiving outside support; registration and the plan for reinforcing equipment; the status of training for preparing assistance dispatch; and activity results in order to provide basic information to prepare large scale disasters and establish coping policies in Korea.


2020 ◽  
Vol 20 (2) ◽  
pp. 79-87
Author(s):  
Euipyeong Lee

The problems and measures were analyzed through the case analysis of metal fire as there was not enough research on metal fire. The problems included ① not having metal fires in the classification of fires, ② the lack of safety measures, ③ not having grounds for the specified quantity of the hazard, ④ an inadequate interim treatment of waste recycling and inappropriate notification by the Ministry of Environment. And the measures included ① the enactment of a metal fire guideline, ② establishment of preparedness and response system of fire departments, ③ strengthening fire prevention activities, ④ review of reduction of specified quantity such as iron, magnesium, etc.


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