281,345 research outputs found

    Application of a location model to fire stations in Rotterdam

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    This report is an outgrowth of a research project carried out by the Operations Research Group of Twente University of Technology in cooperation with the Department Fire-Brigade Affairs (Home Office) and the Rotterdam Fire Department. The objectives of the project were to determine the minimal number of fire stations, their locations and the number of first attendance pumpers, so that each point in town can be reached within a prescribed attendance time with sufficient equipment.\ud A road network approach was used for determining the set of possible location areas for fire stations followed by a set-covering approach for calculating the minimal number of stations. The hard points to tackle were the construction of robust networks, the determination of the possible location areas and the calculation of all the alternative locations of a minimal number of fire stations.\ud A simulation was carried out to test whether the solutions given by the network approach were realistic

    مکان‌یابی بهينه ایستگاه‌های آتش‌نشانی با استفاده از سیستم اطلاعات جغرافیایی GIS (مطالعۀ موردی: شهرکرمانشاه)

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    Background: With breakdown of the former structures and the acceleration of urbanization process in recent decades, cities need careful planning in order to provide citizens needs including safety city. Thus, one of the major tasks of planners and urban managers is to determine the proper location for the establishment of fire stations. Method: In this descriptive-analytic study, given that most of the criteria have sub-criteria, effective measures were determined in selecting fire stations sites. In the next step, location and descriptive information of each criterion were collected; then by using ArcGIS software, layers needed to shape file format was created after changing urban plans DWG format. However, criteria and sub-criteria weighted based on AHP method and creating layers were reclassified. At the end, by using overlapping indexes the final map site selecting of fire stations in Kermanshah obtained. Conclusion: According to the results, hotel and gas station as the compatible land use have the lowest and highest role in selecting fire stations sites. In addition, intercity terminal and health and care land uses have the lowest and greatest impact in selecting fire stations sites. The results show that the existing stations are not sufficient and some of them have been built in the wrong place. The output plan represents the optimal locations for the establishment of fire stations in Kermansha

    The Research about Fire Prevention of Vehicle Refuelling Stations

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    AbstractFuel oil and gas offered by vehicle refuelling stations have combustion and explosion characteristics, serious casualties and economic losses often caused by fire. The research about oil and gas fire risk, refuelling process and facilities, proposing appropriate fire prevention measures possess great significance for reducing refuelling stations’ fire losses, and ensuring the safety of the station and surrounding environment

    Locating fire-stations: an integrated approach for Belgium

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    This paper demonstrates the potential of a decision-support system developed for Belgium by a consortium of universities and a private firm, in the framework of a public call by the Ministry of the Interior. The system is designed to provide the Belgian emergency management administration with a complete decision-aid tool for the location of fire-stations. The originality of the project is that it includes a risk-modeling approach developed at a national scale. This analysis involves a multiscale GIS system which includes a thorough representation of the physical, human and economic spatial realities, a risk modeling approach, an adequate optimal location and allocation model (taking into account both queuing and staffing problems). The final result is an interactive operational tool for defining locations, equipment allocations, staffing, response times, the cost/efficiency trade-off, etc. which can be used in an assessment as well as a prospective context. It has numerous functionalities including rapid modification of the modeling conditions to allow for quick scenario analysis, multiscale analysis, and prospective analysis.ocation-allocations, GIS, fire-stations, Belgium

    Fire behavior and risk analysis in spacecraft

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    Practical risk management for present and future spacecraft, including space stations, involves the optimization of residual risks balanced by the spacecraft operational, technological, and economic limitations. Spacecraft fire safety is approached through three strategies, in order of risk: (1) control of fire-causing elements, through exclusion of flammable materials for example; (2) response to incipient fires through detection and alarm; and (3) recovery of normal conditions through extinguishment and cleanup. Present understanding of combustion in low gravity is that, compared to normal gravity behavior, fire hazards may be reduced by the absence of buoyant gas flows yet at the same time increased by ventilation flows and hot particle expulsion. This paper discusses the application of low-gravity combustion knowledge and appropriate aircraft analogies to fire detection, fire fighting, and fire-safety decisions for eventual fire-risk management and optimization in spacecraft

    Weather Stations, Donated by UNH, Keep Watch for Fire Danger

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    Optimizing fire station locations for the Istanbul metropolitan municipality

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    Copyright @ 2013 INFORMSThe Istanbul Metropolitan Municipality (IMM) seeks to determine locations for additional fire stations to build in Istanbul; its objective is to make residences and historic sites reachable by emergency vehicles within five minutes of a fire station’s receipt of a service request. In this paper, we discuss our development of a mathematical model to aid IMM in determining these locations by using data retrieved from its fire incident records. We use a geographic information system to implement the model on Istanbul’s road network, and solve two location models—set-covering and maximal-covering—as what-if scenarios. We discuss 10 scenarios, including the situation that existed when we initiated the project and the scenario that IMM implemented. The scenario implemented increases the city’s fire station coverage from 58.6 percent to 85.9 percent, based on a five-minute response time, with an implementation plan that spans three years
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