Exploration of NFIRS protected populations using geocoded fire incidents
The NFIRS database is one of the primary resources for data relevant to fire statistics in the United States. This database is populated by self reported fire incidents by U.S. fire departments. A major criticism of this database for statistical analysis is the problem of reporting bias. One cannot...
Gespeichert in:
Veröffentlicht in: | Fire safety journal 2018-01, Vol.95, p.122-134 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 134 |
---|---|
container_issue | |
container_start_page | 122 |
container_title | Fire safety journal |
container_volume | 95 |
creator | Anderson, Austin Ezekoye, Ofodike A. |
description | The NFIRS database is one of the primary resources for data relevant to fire statistics in the United States. This database is populated by self reported fire incidents by U.S. fire departments. A major criticism of this database for statistical analysis is the problem of reporting bias. One cannot use basic summary statistics and other useful, simple metrics to characterize the U.S. fire problem because the NFIRS database does not mandate reporting from the entire nation. Thus, it only contains data from a subset of fire departments across the nation. Additionally, no major attempts have been made to remedy this problem because U.S. fire data consumers rely on the only other data source (NFPA estimates) at the national level. This paper explores approaches to better characterize the NFIRS reporting population. Public data release records from the NFIRS database were geocoded, and then spatial data processes were applied to obtain a reasonable estimate of the protected populations of NFIRS reporting fire departments. The analysis indicates that between 71 and 83% of the American population is covered by NFIRS reporting fire departments. Additionally, estimates of fire incident, fatality, and injury rates from NFIRS reporting populations appear to be roughly 20%–50% lower than the national rates as reported by the NFPA. These rates are confirmed to be feasible by additional analyses that also supply estimates of the non-NFIRS-reporting population's relevant incident and fatality rates. Regional estimates of the NFIRS-reporting population's fire problem are also generated. Until now, there had been no means of generating an independent assessment of the US fire problem. This new modeling approach provides researchers with a publicly available toolset to conduct rigorous sensitivity analysis on the impact of fire prevention and mitigation approaches at the national level.
•This work defines the characteristics and size of the populations protected by the U.S. NFIRS fire departments.•U.S. fire data for fire incidents, fatalities, and injuries are estimated on a population basis.•Regional differences in fire effects are identified using the population based approach. |
doi_str_mv | 10.1016/j.firesaf.2017.11.013 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2019028052</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0379711217306938</els_id><sourcerecordid>2019028052</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-94c684f992d236c4ab81899753de752635b9c49a927510fb95a654d9682908e63</originalsourceid><addsrcrecordid>eNqFUMtKxDAUDaLgOPoJQsF1a27SJM1KZJgXDAo-1qGTpEPK2NSkFf17M87sXd3Fed1zELoFXAAGft8WjQs21k1BMIgCoMBAz9AEKkFzQQg_RxNMhcwFALlEVzG2OBExlhO0mn_3ex_qwfku8032tFi_vGZ98IPVgzVZ7_tx_4fGbIyu22U767U3CTqEZq7TzthuiNfooqn30d6c7hS9L-Zvs1W-eV6uZ4-bXFMqhlyWmldlIyUxhHJd1tsKKikFo8YKRjhlW6lLWUsiGOBmK1nNWWkkr4jEleV0iu6OvunHz9HGQbV-DF2KVKm9xKTCjCQWO7J08DEG26g-uI86_CjA6jCaatVptINMKACVRku6h6POpgpfzgYVtbOdtiaR9aCMd_84_AJ7U3am</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2019028052</pqid></control><display><type>article</type><title>Exploration of NFIRS protected populations using geocoded fire incidents</title><source>Access via ScienceDirect (Elsevier)</source><creator>Anderson, Austin ; Ezekoye, Ofodike A.</creator><creatorcontrib>Anderson, Austin ; Ezekoye, Ofodike A.</creatorcontrib><description>The NFIRS database is one of the primary resources for data relevant to fire statistics in the United States. This database is populated by self reported fire incidents by U.S. fire departments. A major criticism of this database for statistical analysis is the problem of reporting bias. One cannot use basic summary statistics and other useful, simple metrics to characterize the U.S. fire problem because the NFIRS database does not mandate reporting from the entire nation. Thus, it only contains data from a subset of fire departments across the nation. Additionally, no major attempts have been made to remedy this problem because U.S. fire data consumers rely on the only other data source (NFPA estimates) at the national level. This paper explores approaches to better characterize the NFIRS reporting population. Public data release records from the NFIRS database were geocoded, and then spatial data processes were applied to obtain a reasonable estimate of the protected populations of NFIRS reporting fire departments. The analysis indicates that between 71 and 83% of the American population is covered by NFIRS reporting fire departments. Additionally, estimates of fire incident, fatality, and injury rates from NFIRS reporting populations appear to be roughly 20%–50% lower than the national rates as reported by the NFPA. These rates are confirmed to be feasible by additional analyses that also supply estimates of the non-NFIRS-reporting population's relevant incident and fatality rates. Regional estimates of the NFIRS-reporting population's fire problem are also generated. Until now, there had been no means of generating an independent assessment of the US fire problem. This new modeling approach provides researchers with a publicly available toolset to conduct rigorous sensitivity analysis on the impact of fire prevention and mitigation approaches at the national level.
•This work defines the characteristics and size of the populations protected by the U.S. NFIRS fire departments.•U.S. fire data for fire incidents, fatalities, and injuries are estimated on a population basis.•Regional differences in fire effects are identified using the population based approach.</description><identifier>ISSN: 0379-7112</identifier><identifier>EISSN: 1873-7226</identifier><identifier>DOI: 10.1016/j.firesaf.2017.11.013</identifier><language>eng</language><publisher>Lausanne: Elsevier Ltd</publisher><subject>Estimates ; Feasibility studies ; Fire ; Fire department ; Fire prevention ; Fire problem ; Fire reporting ; Fires ; Geocoding ; GIS processing ; Impact analysis ; Mitigation ; National estimates ; NFIRS ; NFIRS non-reporting ; NFIRS underreporting ; NFPA ; Population (statistical) ; Protected population ; Sensitivity analysis ; Spatial data ; Statistical analysis</subject><ispartof>Fire safety journal, 2018-01, Vol.95, p.122-134</ispartof><rights>2017 Elsevier Ltd</rights><rights>Copyright Elsevier BV Jan 2018</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-94c684f992d236c4ab81899753de752635b9c49a927510fb95a654d9682908e63</citedby><cites>FETCH-LOGICAL-c337t-94c684f992d236c4ab81899753de752635b9c49a927510fb95a654d9682908e63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.firesaf.2017.11.013$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Anderson, Austin</creatorcontrib><creatorcontrib>Ezekoye, Ofodike A.</creatorcontrib><title>Exploration of NFIRS protected populations using geocoded fire incidents</title><title>Fire safety journal</title><description>The NFIRS database is one of the primary resources for data relevant to fire statistics in the United States. This database is populated by self reported fire incidents by U.S. fire departments. A major criticism of this database for statistical analysis is the problem of reporting bias. One cannot use basic summary statistics and other useful, simple metrics to characterize the U.S. fire problem because the NFIRS database does not mandate reporting from the entire nation. Thus, it only contains data from a subset of fire departments across the nation. Additionally, no major attempts have been made to remedy this problem because U.S. fire data consumers rely on the only other data source (NFPA estimates) at the national level. This paper explores approaches to better characterize the NFIRS reporting population. Public data release records from the NFIRS database were geocoded, and then spatial data processes were applied to obtain a reasonable estimate of the protected populations of NFIRS reporting fire departments. The analysis indicates that between 71 and 83% of the American population is covered by NFIRS reporting fire departments. Additionally, estimates of fire incident, fatality, and injury rates from NFIRS reporting populations appear to be roughly 20%–50% lower than the national rates as reported by the NFPA. These rates are confirmed to be feasible by additional analyses that also supply estimates of the non-NFIRS-reporting population's relevant incident and fatality rates. Regional estimates of the NFIRS-reporting population's fire problem are also generated. Until now, there had been no means of generating an independent assessment of the US fire problem. This new modeling approach provides researchers with a publicly available toolset to conduct rigorous sensitivity analysis on the impact of fire prevention and mitigation approaches at the national level.
•This work defines the characteristics and size of the populations protected by the U.S. NFIRS fire departments.•U.S. fire data for fire incidents, fatalities, and injuries are estimated on a population basis.•Regional differences in fire effects are identified using the population based approach.</description><subject>Estimates</subject><subject>Feasibility studies</subject><subject>Fire</subject><subject>Fire department</subject><subject>Fire prevention</subject><subject>Fire problem</subject><subject>Fire reporting</subject><subject>Fires</subject><subject>Geocoding</subject><subject>GIS processing</subject><subject>Impact analysis</subject><subject>Mitigation</subject><subject>National estimates</subject><subject>NFIRS</subject><subject>NFIRS non-reporting</subject><subject>NFIRS underreporting</subject><subject>NFPA</subject><subject>Population (statistical)</subject><subject>Protected population</subject><subject>Sensitivity analysis</subject><subject>Spatial data</subject><subject>Statistical analysis</subject><issn>0379-7112</issn><issn>1873-7226</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNqFUMtKxDAUDaLgOPoJQsF1a27SJM1KZJgXDAo-1qGTpEPK2NSkFf17M87sXd3Fed1zELoFXAAGft8WjQs21k1BMIgCoMBAz9AEKkFzQQg_RxNMhcwFALlEVzG2OBExlhO0mn_3ex_qwfku8032tFi_vGZ98IPVgzVZ7_tx_4fGbIyu22U767U3CTqEZq7TzthuiNfooqn30d6c7hS9L-Zvs1W-eV6uZ4-bXFMqhlyWmldlIyUxhHJd1tsKKikFo8YKRjhlW6lLWUsiGOBmK1nNWWkkr4jEleV0iu6OvunHz9HGQbV-DF2KVKm9xKTCjCQWO7J08DEG26g-uI86_CjA6jCaatVptINMKACVRku6h6POpgpfzgYVtbOdtiaR9aCMd_84_AJ7U3am</recordid><startdate>201801</startdate><enddate>201801</enddate><creator>Anderson, Austin</creator><creator>Ezekoye, Ofodike A.</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7T2</scope><scope>7TB</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>201801</creationdate><title>Exploration of NFIRS protected populations using geocoded fire incidents</title><author>Anderson, Austin ; Ezekoye, Ofodike A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-94c684f992d236c4ab81899753de752635b9c49a927510fb95a654d9682908e63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Estimates</topic><topic>Feasibility studies</topic><topic>Fire</topic><topic>Fire department</topic><topic>Fire prevention</topic><topic>Fire problem</topic><topic>Fire reporting</topic><topic>Fires</topic><topic>Geocoding</topic><topic>GIS processing</topic><topic>Impact analysis</topic><topic>Mitigation</topic><topic>National estimates</topic><topic>NFIRS</topic><topic>NFIRS non-reporting</topic><topic>NFIRS underreporting</topic><topic>NFPA</topic><topic>Population (statistical)</topic><topic>Protected population</topic><topic>Sensitivity analysis</topic><topic>Spatial data</topic><topic>Statistical analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Anderson, Austin</creatorcontrib><creatorcontrib>Ezekoye, Ofodike A.</creatorcontrib><collection>CrossRef</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Fire safety journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Anderson, Austin</au><au>Ezekoye, Ofodike A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploration of NFIRS protected populations using geocoded fire incidents</atitle><jtitle>Fire safety journal</jtitle><date>2018-01</date><risdate>2018</risdate><volume>95</volume><spage>122</spage><epage>134</epage><pages>122-134</pages><issn>0379-7112</issn><eissn>1873-7226</eissn><abstract>The NFIRS database is one of the primary resources for data relevant to fire statistics in the United States. This database is populated by self reported fire incidents by U.S. fire departments. A major criticism of this database for statistical analysis is the problem of reporting bias. One cannot use basic summary statistics and other useful, simple metrics to characterize the U.S. fire problem because the NFIRS database does not mandate reporting from the entire nation. Thus, it only contains data from a subset of fire departments across the nation. Additionally, no major attempts have been made to remedy this problem because U.S. fire data consumers rely on the only other data source (NFPA estimates) at the national level. This paper explores approaches to better characterize the NFIRS reporting population. Public data release records from the NFIRS database were geocoded, and then spatial data processes were applied to obtain a reasonable estimate of the protected populations of NFIRS reporting fire departments. The analysis indicates that between 71 and 83% of the American population is covered by NFIRS reporting fire departments. Additionally, estimates of fire incident, fatality, and injury rates from NFIRS reporting populations appear to be roughly 20%–50% lower than the national rates as reported by the NFPA. These rates are confirmed to be feasible by additional analyses that also supply estimates of the non-NFIRS-reporting population's relevant incident and fatality rates. Regional estimates of the NFIRS-reporting population's fire problem are also generated. Until now, there had been no means of generating an independent assessment of the US fire problem. This new modeling approach provides researchers with a publicly available toolset to conduct rigorous sensitivity analysis on the impact of fire prevention and mitigation approaches at the national level.
•This work defines the characteristics and size of the populations protected by the U.S. NFIRS fire departments.•U.S. fire data for fire incidents, fatalities, and injuries are estimated on a population basis.•Regional differences in fire effects are identified using the population based approach.</abstract><cop>Lausanne</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.firesaf.2017.11.013</doi><tpages>13</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0379-7112 |
ispartof | Fire safety journal, 2018-01, Vol.95, p.122-134 |
issn | 0379-7112 1873-7226 |
language | eng |
recordid | cdi_proquest_journals_2019028052 |
source | Access via ScienceDirect (Elsevier) |
subjects | Estimates Feasibility studies Fire Fire department Fire prevention Fire problem Fire reporting Fires Geocoding GIS processing Impact analysis Mitigation National estimates NFIRS NFIRS non-reporting NFIRS underreporting NFPA Population (statistical) Protected population Sensitivity analysis Spatial data Statistical analysis |
title | Exploration of NFIRS protected populations using geocoded fire incidents |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T09%3A49%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Exploration%20of%20NFIRS%20protected%20populations%20using%20geocoded%20fire%20incidents&rft.jtitle=Fire%20safety%20journal&rft.au=Anderson,%20Austin&rft.date=2018-01&rft.volume=95&rft.spage=122&rft.epage=134&rft.pages=122-134&rft.issn=0379-7112&rft.eissn=1873-7226&rft_id=info:doi/10.1016/j.firesaf.2017.11.013&rft_dat=%3Cproquest_cross%3E2019028052%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2019028052&rft_id=info:pmid/&rft_els_id=S0379711217306938&rfr_iscdi=true |