Development and application of a multiple linear regression model to consider the impact of weekly waste container capacity on the yield from kerbside recycling programmes in Scotland

Jim Baird, Robin Curry, Tim Reid

    Research output: Contribution to journalArticle

    Abstract

    This article describes the development and application of a multiple linear regression model to identify how the key elements of waste and recycling infrastructure, namely container capacity and frequency of collection, affect the yield from municipal kerbside recycling programmes. The overall aim of the research was to gain an understanding of the factors affecting the yield from municipal kerbside recycling programmes in Scotland with an underlying objective to evaluate the efficacy of the model as a decision-support tool for informing the design of kerbside recycling programmes.
    Original languageEnglish
    Pages (from-to)306-314
    Number of pages9
    JournalWaste Management and Research
    Volume31
    Issue number3
    Early online date11 Jan 2013
    DOIs
    Publication statusPublished - Mar 2013

    Fingerprint

    Linear regression
    Containers
    Recycling
    recycling
    infrastructure
    container
    programme

    Keywords

    • recycling behaviour
    • household waste
    • linear regression model
    • Scotland

    Cite this

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    abstract = "This article describes the development and application of a multiple linear regression model to identify how the key elements of waste and recycling infrastructure, namely container capacity and frequency of collection, affect the yield from municipal kerbside recycling programmes. The overall aim of the research was to gain an understanding of the factors affecting the yield from municipal kerbside recycling programmes in Scotland with an underlying objective to evaluate the efficacy of the model as a decision-support tool for informing the design of kerbside recycling programmes.",
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