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Using regression analysis to model the performance of UK Coastguard centres

  • Case-Oriented Paper
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Journal of the Operational Research Society

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.

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References

  • Donaldson Lord JF (1999). Review of the Five Year Strategy for HM Coastguard. Department of the Environment, Transport and the Regions, London.

    Google Scholar 

  • Van der Meer RB, Quigley J and Storbeck JE (2005). Using data envelopment analysis to model the performance of UK Coastguard centres. J Opl Res Soc, in press.

  • Kennedy P (1998). A Guide to Econometrics, 4th edn. Blackwell: Oxford.

    Google Scholar 

  • Bardhan IR, Cooper WW and Kumbhakar SC (1998). A simulation study of joint uses of data envelopment analysis and statistical regressions for production function estimation and efficiency evaluation. J Prod Anal 9: 249–278.

    Article  Google Scholar 

  • Aigner D, Lovell CAK and Schmidt P (1977). Formulation and estimation of stochastic frontier production models. JEconom 6: 21–37.

    Google Scholar 

  • Coelli T, Rao DSP and Battese GE (1998). An Introduction to Efficiency and Productivity Analysis. Kluwer: Norwell, MA.

    Book  Google Scholar 

  • Coelli T, Perelman S and Romano E (1999). Accounting for environmental influences in stochastic frontier models. J Prod Anal 11: 251–273.

    Article  Google Scholar 

  • Environment, Transport and Regional Affairs Committee (1999). Sixth Report. House of Commons, London.

  • Skyttner L and Fagrell F (1988). Minimising human, economic and ecological losses at sea. TRITA IS-5152, Stockholm University.

    Google Scholar 

  • Beltrami EJ (1977). Models for Public Systems Analysis. Academic Press: New York, NY.

    Google Scholar 

  • Kolesar P and Blum EH (1973). Square-root laws for fire engine response distances. Mngt Sci 19: 1368–1378.

    Article  Google Scholar 

  • Charnes A and Storbeck JE (1980). A goal programming method for the siting of multilevel EMS systems. Socio-Econ Plann Sci 14: 155–161.

    Article  Google Scholar 

  • Brotcorne L, Laporte G and Semet F (2003). Ambulance location and relocation models. Eur J Opl Res 147: 451–463.

    Article  Google Scholar 

  • Church R, Sorensen P and Corrigan W (2001). Manpower deployment in emergency services. Fire Technol 37: 219–234.

    Article  Google Scholar 

  • Hosmer DW and Lemeshow S (2000). Applied Logistic Regression, 2nd edn. Wiley: Chichester.

    Book  Google Scholar 

  • Chen T-y (2002). A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan. J Opl Res Soc 53: 492–500.

    Article  Google Scholar 

  • Abi-Zeid I and Frost JR (2005). A decision support system for Canadian Search and Rescue Operations. Eur J Opl Res 162: 630–653.

    Article  Google Scholar 

Download references

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Correspondence to R B Van der Meer.

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Van der Meer, R., Quigley, J. & Storbeck, J. Using regression analysis to model the performance of UK Coastguard centres. J Oper Res Soc 56, 630–641 (2005). https://doi.org/10.1057/palgrave.jors.2601950

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  • DOI: https://doi.org/10.1057/palgrave.jors.2601950

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