Academia and responsible government authorities have joined hands in a multi-dimensional research project to determine and analyze urban solid waste management in Kuwait in a cost-effective manner. In this study, a random sample of 2,000 households were interviewed, and the 11 private-sector companies responsible for the collection, transport, and disposal of household solid waste were coo rdinated, along with the Kuwait Municipality's Department of Environmental Affairs, to facilitate, expedite, and promote accomplishment of research tasks. More than 200 randomly selected solid waste trucks were subjected to a detailed manual waste classification procedure. Measurements of the actual quantity (by type) of daily solid waste from the truck monitoring survey were used to assess households' reported response accuracy. A number of statistical techniques were employed to examine trends and develop relationships between households' socioeconomic traits and solid waste generation. These included descriptive and distributional statistics, correlation, cross-classification, the chi-square test, and variance component analysis.
INTRODUCTIONWhile the pre-invasion data on urban solid waste generation rates and characteristics in Kuwait are sketchy at best, post-invasion information on household solid waste is nonexistent. This paper reports on the results of a research study undertaken to address this critical information gap.