Modeling Response Time to Structure Fires

Madison Arnsbarger, Joshua Goldstein, Claire Kelling, Gizem Korkmaz and Sallie Keller

The American Statistician, 2021, vol. 75, issue 1, 92-100

Abstract: It is important to reduce fire department response times to incidents to improve communities’ general safety, to make the allocation of emergency resources more efficient, and to improve situational awareness. In this article, we identify which factors affect turnout times and travel times for the Arlington County Fire Department in Virginia by applying both linear and spatial models to the U.S. National Fire Incident Reporting System (NFIRS) data. The uniformity of NFIRS data makes this article’s methodological innovations applicable to other participating fire departments in the United States and advances the effort to incorporate scientific evidence into government-level policy-making.

Date: 2021
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/00031305.2019.1695664 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:amstat:v:75:y:2021:i:1:p:92-100

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTAS20

DOI: 10.1080/00031305.2019.1695664

Access Statistics for this article

The American Statistician is currently edited by Eric Sampson

More articles in The American Statistician from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().