DYNAMIC ASSESSMENT OF THE ADEQUACY OF FORCES AND RESOURCES FOR FIRE SUPPRESSION IN PUBLIC BUILDINGS AND FORECASTING THE RESOURCE-DEFICIT PERIOD
DOI:
https://doi.org/10.17605/Keywords:
fire and rescue forces, forces and resources, dynamic resource adequacyAbstract
The effectiveness of fire suppression in public buildings is determined not only by how quickly the first unit arrives, but also by the time at which the forces and resources required for a particular tactical scenario become fully available. Although current operational fire-fighting plans specify the required number of personnel and units and their arrival schedules, these two types of information are generally not integrated within a single dynamic criterion. The aim of this study is to develop a method for assessing the time-dependent adequacy of resources required for fire suppression in public buildings and for scenario-based forecasting of the resource-deficit period. Based on approved operational plans for six public facilities in the Samarkand and Tashkent garrisons, the following indicators were calculated: required resource R_req, cumulative available resource over time R_avail(t), resource deficit D(t), deficit window W, time to full requirement coverage t_cov, initial coverage coefficient K_0, and delay in full resource formation Δt_form. For scenarios with an explicitly specified requirement, t_cov ranged from 8.6 to 27 min. At the O-1 religious complex, although the first unit arrived in 2.5 min, the requirement of 24 personnel was fully met only at minute 27; at the O-3 hotel, an initial shortage of only one person prolonged the deficit period to minute 12. Within the garrisons, up to six identical units were found to recur in the plans for certain pairs of facilities, indicating that facility-level estimates may be optimistic under simultaneous multi-incident scenarios. The proposed approach quantitatively distinguishes between first-response time and the time required to assemble the full tactical resource and enables resource adequacy to be evaluated as a function of time in operational planning.References
1. Law of the Republic of Uzbekistan No. ZRU-226 of 30 September 2009 “On Fire Safety.”
2. Resolution of the Cabinet of Ministers of the Republic of Uzbekistan No. 649 of 20 October 2020 “On Approval
of Fire Safety Rules.”
3. SHNQ 2.01.02-04. Fire Safety of Buildings and Structures. Tashkent: Ministry of Construction of the Republic
of Uzbekistan, 2004.
4. SHNQ 2.08.02-23. Public Buildings and Structures. Tashkent.
5. Ivannikov V.P., Klyus P.P. Handbook for the Fire Suppression Commander. Moscow: Stroyizdat, 1987. [in
Russian].
6. GOST 12.1.004-91. Occupational Safety Standards System. Fire Safety. General Requirements. Appendix 2.
7. Hurley M.J. et al. (eds.). SFPE Handbook of Fire Protection Engineering. 5th ed. New York: Springer, 2016.
8. Predtechenskii V.M., Milinskii A.I. Planning for Foot Traffic Flow in Buildings. New Delhi: Amerind Publishing,
1978.
9. Kuligowski E.D., Peacock R.D., Hoskins B.L. A Review of Building Evacuation Models. 2nd ed. NIST Technical
Note 1680. Gaithersburg: NIST, 2010.
10. ISO 16730-1:2015. Fire safety engineering — Procedures and requirements for verification and validation of
calculation methods — Part 1: General.
11. Convention on the Rights of Persons with Disabilities, Article 11.
12. Approved operational fire-fighting plans for the study facilities and their tables of forces and resources.
Samarkand and Tashkent garrisons, 2020–2026. Service documents.
13. Eslamzadeh M.K., Grilo A., Espadinha-Cruz P. A Framework for Resource Allocation in Fire Departments: A
Structured Literature Review. Fire. 2022;5(4):109. https://doi.org/10.3390/fire5040109
14. Hassler J., Andersson Granberg T., Ceccato V. Socio-spatial Inequities of Fire and Rescue Services in Sweden:
An Analysis of Real and Estimated Response Times. Fire Technology. 2024;60:193–212.
https://doi.org/10.1007/s10694-023-01496-3
15. Zhou Y., Liu H., Wang N., Gu Y. Lagrangian relaxation-based approaches for cooperative location and
assignment of emergency responders. Alexandria Engineering Journal. 2024;107:225–234.
https://doi.org/10.1016/j.aej.2024.07.030
16. Montagna G.M., van den Berg P.L., Oskam V., Jagtenberg C.J., Oosterveen V., van der Mei R.D., Klooster J.
Effect of fire department response time on fire damage in the Netherlands. Fire Safety Journal.
2025;157:104517. https://doi.org/10.1016/j.firesaf.2025.104517
17. Amirdadi M., Mohammadi A., Park P.Y., Nourinejad M., Solis A.O. A GIS-based queuing location-allocation and
robust optimization framework for urban fire emergency response. Safety Science. 2026;203:107327.
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