Using regression analysis to model the performance of UK Coastguard centres

R B Van der Meer (), J Quigley and J E Storbeck
Additional contact information
R B Van der Meer: University of Strathclyde
J Quigley: University of Strathclyde
J E Storbeck: University of Texas at Brownsville

Journal of the Operational Research Society, 2005, vol. 56, issue 6, 630-641

Abstract: Abstract This paper combines the use of (binary) logistic regression and stochastic frontier analysis to assess the operational effectiveness of the UK Coastguard (Maritime Rescue) coordination centres over the period 1995–1998. In particular, the rationale for the Government's decision—confirmed in 1999—to close a number of coordination centres is scrutinized. We conclude that the regression models developed in this paper represent a performance measurement framework that is considerably more realistic and complex than the one apparently used by the UK Government. Furthermore, we have found that the coordination centres selected for closure were not necessarily the ones that were least effective in their primary purpose—that is, to save lives. In a related paper, we demonstrate how the regression models developed here can be used to inform the application of data envelopment analysis to this case.

Keywords: accidents; shipping; government; performance measurement; regression (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
http://link.springer.com/10.1057/palgrave.jors.2601950 Abstract (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:pal:jorsoc:v:56:y:2005:i:6:d:10.1057_palgrave.jors.2601950

Ordering information: This journal article can be ordered from
http://www.springer. ... search/journal/41274

DOI: 10.1057/palgrave.jors.2601950

Access Statistics for this article

Journal of the Operational Research Society is currently edited by Tom Archibald and Jonathan Crook

More articles in Journal of the Operational Research Society from Palgrave Macmillan, The OR Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().