Peter Tucker and Duncan Smith (1999)
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Received: 30-Aug-99 Accepted: 25-Sep-99 Published: 31-Oct-99
The model is aimed at providing decision support for local and regional waste management planning.
|Table 1: Material Flux Classification|
|Paper||Newspaper, magazines, junk mail, catalogues, other paper, card|
|Glass||Green bottles, amber bottles, clear bottles, jars, other glass|
|Plastic||Beverage bottles, other dense plastic, carrier bags, other film|
|Metal||Ferrous cans, other ferrous, aluminium cans, aluminium foil, other|
|Organics||Kitchen veg., other kitchen, garden soft, garden woody, other*|
|Textiles||Second hand clothes/bedding, clean rags, other|
where S are the socio-demographic descriptors and x represents the scale unit (Kg. or strength of attitude etc.). m and n are fixed model parameters, estimated from observational or survey data (Tucker et al., 1998c, 1998d, 1999a), or set through empirical adjustment.
|Table 2: Household Attribute Set|
|Family Life Cycle|
|Pro-recycling attitude||A||Strength of pro-recycling attitudes|
|General recycling barriers||C||Strength of general recycling barriers faced or perceived|
|Norms||N||Susceptibility to normative pressures|
|Threshold weight||W0(j)||Minimum perceived weight worthwhile recycling|
|Threshold weight||W1||Storage capacity of household|
|Save decision 1||D1||To accumulate material until W0 is reached - or to discard|
|Save decision 2||D2||With adverse PD: to save for favourable PD - or to discard|
|Awareness||AS(j)||Knowledge that the scheme exists|
|Lifestyle||LF||Frequency of lifestyle events negating intention to recycle|
|Ignorance||I(k)||Misperceptions of types of material accepted by scheme|
|Forgetfulness||F(k)||Frequency of forgetting to recycle individual items|
|Distaste||DT(k)||Deliberate choice not to divert some items|
|Resilience to setback||R||Susceptibility to change behaviour with adverse experience|
|Intervention susceptibility||X||Susceptibility to respond to external stimuli|
|Pro-composting attitude||A'||Strength of pro-composting attitudes|
|Composting barriers||C'||Strength of general composting barriers faced or perceived|
|Composting proficiency||P||Expertise in producing home compost|
|Scheme appeal||SA(j)||Scheme specific appeal or scheme specific barriers|
|Personal difficulty||PD||Frequency of events stopping intended participation|
|Have bin||HB||Ownership of a compost bin|
|Waste arisings||W'(k)||Average weekly arisings of waste material k|
SA (i,j) = GA(j) + c1(i) * MM(j) + c2(i) * D(i,j) + c3(i) * V(i,j)
|Table 3: Simulation of Collection Frequency Change|
|SCENARIO||2 Week||4 Week|
|Set-out rate (%)||35.0||35.3||44.8||44.1|
|Participation rate (%)||48.5||48.4||44.8||44.1|
|8-week participation (%)||Not measured||55.7||54.0||55.8|
|Table 4: Mean Per-Collection Set Out Rate (%)|
|House Type||Measured||Run 1||Run 2||Run 3|
|B (Semi and small detached)||29.9||32.0||28.4||30.3|
|C (Local authority)||18.9||22.1||21.1||21.7|
|Table 5: Standard Deviation in Per-Collection Set Out Rate (%)|
|House Type||Measured||Run 1||Run 2||Run 3|
|B (Semi and small detached)||5.4||2.6||2.6||3.1|
|C (Local authority)||3.6||1.3||1.1||1.8|
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