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Modelling the running costs of buildings

Author

Listed:
  • Assem Al-Hajj
  • Malcolm Horner

Abstract

The Building Maintenance Cost Information Service (BMCIS) offers a comprehensive and rigorous framework for collecting data about the running costs of buildings. Nevertheless, it is pitched at such a level of detail that the amount of data collected and analysed may be constrained. This paper describes the deveopment and testing of a novel technique which reduces the amount of data to be collected without any unacceptable reduction in utility. It draws on the principle of cost-significance to create a simple model of maintenance and operating costs (together called running costs) from a rare and consistent set of data for 20 buildings at York University. The model contains only 11 elements, yet can predict the total running costs of each of four categories of building to an accuracy of about 21 2%. It can also predict annual costs to about 7%, despite variations in the periodicity of costs such as painting and insurance. The model was tested using the jacknife method and on virgin data. It proved to be extremely robust, predicting the running costs of 12 new buildings to within 5%. The model offers a simple framework for collecting and analysing reliable and consistent data on running costs.

Suggested Citation

  • Assem Al-Hajj & Malcolm Horner, 1998. "Modelling the running costs of buildings," Construction Management and Economics, Taylor & Francis Journals, vol. 16(4), pages 459-470.
    • Handle: RePEc:taf:conmgt:v:16:y:1998:i:4:p:459-470
    DOI: 10.1080/014461998372231
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    Cited by:

    1. Hamid Vahdat–Aboueshagh & Sara Nazif & Ebrahim Shahghasemi, 2014. "Development of an Algorithm for Sustainability Based Assessment of Reservoir Life Cycle Cost Using Fuzzy Theory," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(15), pages 5389-5409, December.
    2. Pascual, R. & Del Castillo, G. & Louit, D. & Knights, P., 2009. "Business-oriented prioritization: A novel graphical technique," Reliability Engineering and System Safety, Elsevier, vol. 94(8), pages 1308-1313.

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