{"title":"Modeling Fire Company Staffing to Investigate its Effect on Effective Response Force Times to Structure Fires Using Local Incident Data","authors":"Evgeniy P. Ivanov","doi":"10.1007/s10694-024-01642-5","DOIUrl":null,"url":null,"abstract":"<p>Fighting structure fires necessitates the deployment of an effective response force (ERF) capable of ensuring both effective firefighting and the safety of firefighters. The article aims to investigate the effect of company staffing on ERF response times and to compare these findings with data from the National Institute of Standards and Technology’s (NIST) Report on residential fireground field experiments. The investigation revolves around modeling the crew size of fire engines and ladder trucks through a 4-step approach. Given the challenges of obtaining publicly available apparatus response data at the national level needed for any ERF time calculations, the approach taken is based on utilizing local incident and apparatus response data from a single fire department. Three datasets are developed, corresponding to 3-person, 4-person, and 5-person crews. Comparison among these datasets hinges on calculating the 90th percentile of ERF assembly times and total response times, as well as assessing the percentage of times the target response times are met. The results show improvements in response times across all up-staffing scenarios, underscoring the direct positive effect of crew size up-staffing on ERF response times. Specifically, when transitioning from 3-person to 4-person crews, the biggest improvements occur in moderate and high-risk structure fire incidents, with moderate-risk fires seeing a reduction of over 2 full minutes in all response time segments. Elevating crew sizes from 4-person to 5-person teams yields the most significant gains in special risk structure fires, resulting in a remarkable 10-min improvement in both ERF assembly time and total response time. In conclusion, this study provides recommendations for optimizing incident data quality and considerations to take into account when making decisions for crew upstaffing.</p>","PeriodicalId":558,"journal":{"name":"Fire Technology","volume":"28 1","pages":""},"PeriodicalIF":2.3000,"publicationDate":"2024-09-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fire Technology","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s10694-024-01642-5","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Fighting structure fires necessitates the deployment of an effective response force (ERF) capable of ensuring both effective firefighting and the safety of firefighters. The article aims to investigate the effect of company staffing on ERF response times and to compare these findings with data from the National Institute of Standards and Technology’s (NIST) Report on residential fireground field experiments. The investigation revolves around modeling the crew size of fire engines and ladder trucks through a 4-step approach. Given the challenges of obtaining publicly available apparatus response data at the national level needed for any ERF time calculations, the approach taken is based on utilizing local incident and apparatus response data from a single fire department. Three datasets are developed, corresponding to 3-person, 4-person, and 5-person crews. Comparison among these datasets hinges on calculating the 90th percentile of ERF assembly times and total response times, as well as assessing the percentage of times the target response times are met. The results show improvements in response times across all up-staffing scenarios, underscoring the direct positive effect of crew size up-staffing on ERF response times. Specifically, when transitioning from 3-person to 4-person crews, the biggest improvements occur in moderate and high-risk structure fire incidents, with moderate-risk fires seeing a reduction of over 2 full minutes in all response time segments. Elevating crew sizes from 4-person to 5-person teams yields the most significant gains in special risk structure fires, resulting in a remarkable 10-min improvement in both ERF assembly time and total response time. In conclusion, this study provides recommendations for optimizing incident data quality and considerations to take into account when making decisions for crew upstaffing.
期刊介绍:
Fire Technology publishes original contributions, both theoretical and empirical, that contribute to the solution of problems in fire safety science and engineering. It is the leading journal in the field, publishing applied research dealing with the full range of actual and potential fire hazards facing humans and the environment. It covers the entire domain of fire safety science and engineering problems relevant in industrial, operational, cultural, and environmental applications, including modeling, testing, detection, suppression, human behavior, wildfires, structures, and risk analysis.
The aim of Fire Technology is to push forward the frontiers of knowledge and technology by encouraging interdisciplinary communication of significant technical developments in fire protection and subjects of scientific interest to the fire protection community at large.
It is published in conjunction with the National Fire Protection Association (NFPA) and the Society of Fire Protection Engineers (SFPE). The mission of NFPA is to help save lives and reduce loss with information, knowledge, and passion. The mission of SFPE is advancing the science and practice of fire protection engineering internationally.