TITEL
Household waste collection: factors and variations
FöRFATTARE
Dahlén, Lisa
INSTITUTION
Samhällsbyggnad / Avfallsteknik
SAMMANFATTNING
Ambitious household waste recycling programs have been introduced in Sweden
and several other countries during recent decades. Many different waste-
sorting and collection schemes have been developed, but the evaluation and
comparison of the results is made difficult by the lack of comparable data.
The aim of the research presented in this thesis was to answer the
following questions: How can household waste flows be described and
monitored? Which factors affect the collection results? and, What is a
useful basis for the evaluation of collection systems? Waste flow analysis
and waste component classification were performed in a number of Swedish
municipalities, revealing a wide variation in the amount of waste per
capita. Eleven site-specific variables were investigated and multivariate
data analysis was performed. The study was carried out on three levels: 1)
household waste as the material in itself, classified into physical
components, 2) the householders and their handling of waste, in terms of
average amounts of different waste categories and recyclables per capita,
and 3) the municipalities, as the authority responsible for household waste
management, where local conditions influence waste generation and pathways.
A significant finding was that property-close collection of dry recyclables
led to increased collection of sorted metal, plastic, and paper packaging.
Weight-based billing, i.e. when waste collection is charged per kilogram of
waste collected, showed divergent effects, which are investigated and
discussed. Monitoring methods are suggested regarding the waste flow from
households. A step-by-step method for evaluation and comparisons of
collection systems was outlined, including a set of indicators. Sixteen
sources of error in official waste statistics were identified and the
results of the studies emphasize the importance of reliable waste
generation and composition data to underpin waste management policies.
ISSN 1402-1544 / ISRN LTU-DT--08/33--SE / NR 2008:33
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