Using survival analysis to improve pre-emptive fire engine allocation for emergency response

Yeboah, Godfred; Park, Peter Y.

doi:10.1016/j.firesaf.2018.02.005

Cited by 9 publications

(7 citation statements)

References 15 publications

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“…Але питання руху спеціальної техніки до місця виклику не розглядаються. В [9] розглянуто проблему кількох одночасних викликів в невеликих селах, де на в наявності є лише один пожежний автомобіль. На основі статистичних даних визначено час і райони, з найбільшою ймовірністю одночасних викликів.…”

Section: аналіз літературних даних і постановка проблемиunclassified

“…2. Обираємо довільний початковий розподіл y 1ℓ , y 2ℓ , …, y Mℓ техніки по підрозділам, який задовольняє умовам ( 8), (9).…”

Section: розробка процедури визначення оптимального розподілу техніки...unclassified

“…Обмеження ( 8), ( 9) описують опуклу область припустимих рішень задачі (7)- (9). В сукупності із тим, що функція цілі (7) є монотонно незростаючою, це означає, що розв'язок задачі оптимізації ( 7)-( 9) лежить на межі області припустимих значень.…”

Section: обговорення результатів побудови алгоритму оптимального розп...unclassified

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An algorithm of optimal distribution of equipment for fire stations

Basmanov,

Saveliev,

Melezhyk

et al. 2023

PES

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The object of the study is the process of functioning of fire stations, and the subject of the study is the distribution of equipment between units serving a certain area. An algorithm of the optimal distribution of equipment for fire stations was built. In practice, it opens up opportunities to reduce the time it takes for firefighting units to reach the place of call by changing the service areas of the units. The model is based on the assumption of the sufficiency of forces and means in fire stations to carry out rescue operations and eliminate fires in the area of their service. The model is based on the division of the entire area of responsibility into separate sub-areas or the selection of individual objects for which a list of possible emergency situations related to fires, their frequency, forces and means necessary for their elimination is known. The task of optimally determining the area of responsibility of rescue units is formulated. The optimization criterion is the minimum time for units to follow from the location to the place of call. The objective function includes both the follow-up time and the number of units of equipment involved in eliminating the accident. This allows you to take into account the complexity of the emergency situation, since more complex situations will require the involvement of a larger number of equipment and units. The limitations of the task are determined by the available forces and means in operational and rescue units. An algorithm for the optimal distribution of equipment between existing operational and rescue units has been built. It is shown that the domain of admissible solutions is convex. The built model can be used to determine the service areas of already existing fire stations, as well as when choosing the locations of additional fire stations.

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Section: аналіз літературних даних і постановка проблемиunclassified

Section: розробка процедури визначення оптимального розподілу техніки...unclassified

Section: обговорення результатів побудови алгоритму оптимального розп...unclassified

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An algorithm of optimal distribution of equipment for fire stations

Basmanov,

Saveliev,

Melezhyk

et al. 2023

PES

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“…Due to the essential role of RAFD in improving the performance of FDs in allocating the limited FPS resources (e.g., budget, firefighters, fire engines) among the FDs, the RAFD has been studied at the local or national level [9]. Some of the studies resulted in providing national RAFD models for different countries or cities (e.g., see research about the RAFD Fire 2024, 7, 206 2 of 25 methods in Chile [10], Taiwan [11], the UK [12], China [13], India [14], the US [15], South Korea [16], Iran [7], Ukraine [17], and Canada [18]).…”

Section: Introductionmentioning

confidence: 99%

All Lives Matter: A Model for Resource Allocation to Fire Departments in Portugal

K. Eslamzadeh,

Grilo,

Espadinha-Cruz

2024

Fire

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Optimizing Resource Allocation in Fire Departments (RAFD) is crucial for enhancing Fire Protection Services (FPS) and ultimately saving lives. Efficient RAFD ensures that fire departments have the necessary resources to respond effectively to emergencies. This paper presents a method for optimizing RAFD based on performance assessment results, examining its impact on Fire Department (FD) efficiency in Portugal. Evaluating data from 353 FDs, two RAFD optimization methods were assessed: one adhering to Portuguese regulations and constraints, such as budget allocation limitations, and another without such constraints. Integrating a slack-based data envelopment analysis model and mixed-integer linear programming, the study found that incorporating FD efficiency scores in RAFD improved overall efficiency at national, district, and FD levels. While adherence to Portuguese regulations led to balanced resource allocation and a 4% performance improvement at the national level, relaxing constraints yielded an 8% improvement, albeit with potential performance deterioration in some FDs. The detailed budget and efficiency metric analysis provided in this paper offers actionable insights for fire protection services enhancement. This underscores the importance of diverse optimization strategies to enhance FD efficiency, with implications for decision-makers at the Portuguese National Authority for Emergency and Civil Protection and similar organizations globally.

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“…However, fire service coverage was mainly defined by the spatial relationships between fire stations and fire service demand points in previous studies [10][11][12][13]. In previous studies, "every fire station contained all types of fire apparatus" seems to have been assumed by default [10][11][12][13]. In fact, due to the constraints of economy and land space, the type and quantity of fire apparatus in a fire station are limited.…”

Section: Introductionmentioning

confidence: 99%

Applying Real-Time Travel Times to Estimate Fire Service Coverage Rate for High-Rise Buildings

Liu

Yan

et al. 2020

Applied Sciences

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Frequent high-rise building fires have posed serious threats to urban public safety. In this study, real-time travel times extracted from online maps were applied to estimate fire service coverage rates for high-rise buildings. Firstly, the minimum fire apparatus requirement for high-rise building “at least 1 water fire truck and 1 aerial fire truck should arrive at the fire scene of high-rise building within 240 s” was proposed. Then, a dynamic estimation model of fire service coverage rate for high-rise buildings was established. To validate the model, 5146 high-rise buildings, 61 water fire trucks, and 56 aerial fire trucks in Changsha were selected as case studies. The results show that the total effective coverage rate and total average travel time in Changsha are 20.43% and 421.95 s, respectively. There are 10,840 water fire trucks and 6192 aerial fire trucks in China. Based on the average number of water fire trucks and aerial fire trucks per high-rise building, it can be estimated that the total effective coverage rate in China may not exceed 60.00%. Due to limited fire resources and frequent traffic congestion, only partial high-rise buildings can be effectively covered by fire services, whether in Changsha or China.

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Using survival analysis to improve pre-emptive fire engine allocation for emergency response

Cited by 9 publications

References 15 publications

An algorithm of optimal distribution of equipment for fire stations

An algorithm of optimal distribution of equipment for fire stations

All Lives Matter: A Model for Resource Allocation to Fire Departments in Portugal

Applying Real-Time Travel Times to Estimate Fire Service Coverage Rate for High-Rise Buildings

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