Modeling Spatial Variation in the Demand for Waste Collection Service

Abstract

Three models were developed for spatially projecting the demand for waste collection service by manufacturing, retail, and service businesses, and were compared with a model commonly used for this purpose. Model I is similar to most earlier work in which unit demand rates (kg employee^-1 wk^-1) are estimated for a variety of businesses. These rates are then multiplied by the number of employees in the area being modeled. Model II differs from Model I in that unit demand rates are estimated for businesses of different sizes (number of employees), rather than activities. In Model III businesses are cross-classified by both activity and size, and then unit demand rates are estimated within each class. Data for model estimation were obtained by weighing waste deposited for collection by 435 businesses over a 25-wk period in the Portland, Oregon metropolitan region. Business size accounted for significantly more of the variation in unit demand rate than did business activity. This suggests that demand models used in planning solid waste collection and disposal systems can be improved by including indicators of business size.

Keywords

Waste collection solid waste models demand for service unit demand rates waste production waste produced per employee.

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References

Barnard, R. & Olivetti, G. (1990) Rapid assessment of industrial waste production based on available employment statistics. Waste Management & Research 8, 139-144.

DeGeare, T.V. & Ongerth, J.E. (1971) Empirical analysis of commercial solid waste generation . Journal of the Sanitary Engineering Division, ASCE Proceeding 17 (SA6), 843-850.

Delin, M. (1992) Source sampling for waste characterization. BioCycle July, 76-79.

Efron, B. (1982) The Jackknife, the Bootstrap, and Other Resampling Plans No.38. SIAM, CBMS-NSF Regional Conference Series in Applied Mathematics, Philadelphia, Pennsylvania , U.S.A.

Efron, B. & Gong, G. (1983) A leisurely look at the bootstrap, the jackknife and cross-validation. The American Statistician 37, 36-48.

Esri (1991) Address Geocoding , Environmental Systems Research Institute, Inc., Redlands, California, U.S.A.

Golueke, C.G. (1971) Comprehensive Studies of Solid Waste Management. Third Annual Report. U.S. Environmental Protection Agency , Philadelphia, Pennsylvania, U.S.A.

Golueke, C.G. & McGauhey, P.H. (1970) Comprehensive Studies of Solid Waste Management. Second Annual Report. U.S. Department of Health, Education, and Welfare, Bureau of Solid Waste Management, Washington, D.C., U.S.A.

Grossman, D.S. , Hudson, J.F. & Marks, D.H. (1973) Analysis Models for Solid Waste Collection. R73-47, Vol. 1. Massachusetts Institute of Technology, Department of Civil Engineering, Cambridge, Massachusetts, U.S.A.

10.

Joyner, S.P. , ed. (1985) SAS/STAT Guide for Personal Computers. Version 6 Edition. SAS Institute, Inc., Cary, North Carolina, U.S.A.

11.

Maclaren, V.W. (1988) Modeling the energy, environmental, and fiscal impacts of an urban waste management system. Papers of the Regional Science Association 65, 115-134.

12.

Monahan, D.J. (1990) Estimation of hazardous wastes from employment statistics: Victoria, Australia. Waste Management & Research 8, 145-149.

13.

Niessen, W.R. (1977) Estimation of solid-waste-production rates. In: Handbook of Solid-Waste Management ( D. G. Wilson , ed.) New York, U.S.A.: Van Nostrand Reinhold Company, pp. 544-574.

14.

Niessen, W.R. & Alsobrook, A.F. (1972) Municipal and industrial refuse: composition and rates. In: Proceedings of the 1972 National American Society of Mechanical Engineers Incineration Conference, pp. 319-337.

15.

Snedecor, G.W. & Cochran, W.G. (1976) Statistical Methods. Ames, U.S.A.: Iowa State University Press.

16.

Steiker, G. (1973) Solid Waste Generation Coefficients: Manufacturing Sectors. Regional Science Research Institute, Philadelphia, Pennsylvania, U.S.A.

17.

U.S. Office of Management and Budget (1987 ) Standard Industrial Classification Manual. U.S. Government Printing Office, Washington, D.C.

18.

U.S. Public Health Service (1969) Technical-Economic Study of Solid Waste Disposal Needs and Practices. U.S. Public Health Service Publication No. 1886. U.S. Government Printing Office, Washington, D.C.