CRITERIA FOR ASSESSING THE OPTIMAL PLACEMENT OF EMERGENCY RESCUE SERVICE UNITS

The article is devoted to the analysis of criteria for assessing the optimal placement of emergency rescue service units. The main scientific approaches are considered, namely: classical location models, covering and maximizing models, models considering survivability and resilience, multicriteria and geospatial methods. Key criteria for assessing optimal placement have been identified, such as response time, coverage of population and infrastructure, economic and financial costs, reliability, risk and vulnerability, and social factors. A comparative analysis of their strengths and weaknesses is carried out. The importance of finding a balance between response speed, costs, and social equity is emphasized, as well as the prospects for applying hybrid models, big data, and AI in emergency rescue service placement planning.

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Publication Details

Journal
NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)
Published
2026-04-10
DOI
https://doi.org/10.61260/2304-0130-2026-1-44-53
Primary Topic
Facility Location and Emergency Management
Type
article
Field-Weighted Citation Impact
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article

CRITERIA FOR ASSESSING THE OPTIMAL PLACEMENT OF EMERGENCY RESCUE SERVICE UNITS

Daria Akhunova
NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)
Facility Location and Emergency Management
article

CRITERIA FOR ASSESSING THE OPTIMAL PLACEMENT OF EMERGENCY RESCUE SERVICE UNITS

Daria Akhunova
article en

Abstract

The article is devoted to the analysis of criteria for assessing the optimal placement of emergency rescue service units. The main scientific approaches are considered, namely: classical location models, covering and maximizing models, models considering survivability and resilience, multicriteria and geospatial methods. Key criteria for assessing optimal placement have been identified, such as response time, coverage of population and infrastructure, economic and financial costs, reliability, risk and vulnerability, and social factors. A comparative analysis of their strengths and weaknesses is carried out. The importance of finding a balance between response speed, costs, and social equity is emphasized, as well as the prospects for applying hybrid models, big data, and AI in emergency rescue service placement planning.

NATURAL AND MAN-MADE RISKS (PHYSICO-MATHEMATICAL AND APPLIED ASPECTS)Vol. 2026(1)
Academy of the State Fire Service EMERCOM of Russia (RU)
Industry, innovation and infrastructure
Openalex Percentile: Top 4%
Facility Location and Emergency Management
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