Fire truck relocation during major incidents

Abstract

The effectiveness of a fire department is largely determined by its ability to respond to incidents in a timely manner. To do so, fire departments typically have fire stations spread evenly across the region, and dispatch the closest truck(s) whenever a new incident occurs. However, large gaps in coverage may arise in the case of a major incident that requires many nearby fire trucks over a long period of time, substantially increasing response times for emergencies that occur subsequently. We propose a heuristic for relocating idle trucks during a major incident in order to retain good coverage. This is done by solving a mathematical program that takes into account the location of the available fire trucks and the historic spatial distribution of incidents. This heuristic allows the user to balance the coverage and the number of truck movements. Using extensive simulation experiments we test the heuristic for the operations of the Fire Department of Amsterdam-Amstelland, and compare it against three other benchmark strategies in a simulation fitted using 10 years of historical data. We demonstrate substantial improvement over the current relocation policy, and show that not relocating during major incidents may lead to a significant decrease in performance.

Statistical regulations of the occurrence of fires in cities during marital state

“…Отже, в деяких з проаналізованих робіт [6,7] процес виникнення небезпечних подій та надзвичайних ситуацій у населених пунктах описується законом розподілу Пуассона. В окремих роботах [10,11] для прогнозування їх кількості застосовуються методи нейромережевого прогнозування, але вони мають достатньо низьку точність.…”

Development of a method of completing emergency rescue units with emergency vehicles

“…Consequently, this makes it possible to use mathematical models based on the Poisson distribution law to describe the process of calls coming to the ERUs. The method proposed in [15] is designed to solve the problem of redistribution of forces and means, provided that the operational situation in the territory of a settlement changes. The specified method cannot be used to determine the required number of EVs in ERUs.…”

“…According to the results of the literature review [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19], it has been found that the known methods for determining the number of EVs with the purpose of equipping ERUs and redeploying the available forces and means are developed mainly for million-plus cities. Such cities are characterized by a higher population density than other types of settlements, which is why the happening of hazardous events and emergencies on their territories is accompanied by a large number of victims and casualties.…”