A proactive assessment of sick building syndrome

Facilities

Volumn 23, Issue 1-2, 2005, Pages 6-15

  Thomas Mobley, Linda ^a   Roper, Kathy O ^a   Oberle, Rita ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Buildings; Customer satisfaction; Decision making; Neural nets

Indexed keywords

EID: 84993044874     PISSN: 02632772     EISSN: None     Source Type: Journal    
DOI: 10.1108/02632770510575866     Document Type: Article

References (18)

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3. Baechler, M.C. (1991), Sick Building Syndrome: Sources, Health Effects, Mitigation, Noyes Data Corporation, Park Ridge, NJ.
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10. National Research Council (1981), Indoor Pollutants, National Academy Press, Washington, DC.
11. Raw, G.J. (1992), Sick Building Syndrome: A Review of the Evidence on Causes and Solution, HSE Contract Research Report No. 42, Building Research Establishment/HMSO, Watford.
12. Reitze, A.W. and Carof, S.-L. (1998), “The legal control of indoor air pollution”, Boston College Environmental Affairs Law Review, Vol. 25, p. 247.
13. Thomas, L.M. (2000), An Integrated Model for Facility Management: Indoor Environment Evaluation, Georgia Institute of Technology, Atlanta, GA.
14. Thomas-Mobley, L.M. and Oberle, R. (2004), “Managing problem indoor environments by embracing subjective data: a case study for federal facilities”, Federal Facilities Environmental Journal, Vol. 15 No. 2, p. 109.
15. US Environmental Protection Agency (1989), Report to Congress on Indoor Air Quality: Volume II: Assessment and Control of Indoor Air Pollution, Washington, DC.
16. US Environmental Protection Agency (1998), A Guide for Building Owners and Facility Managers, Washington, DC.
17. Ward Systems (1995), Neuroshell Classifier, Ward Systems, Inc., Frederick, MD.
18. World Health Organization (1986), Indoor Air Quality Research, Reports and Studies, No. 103, World Health Organization, Geneva.