A study of population density effects and demographic profiling on recorded customer contacts of sewer flooding

D. Unwin, S. Arthur

    Research output: Contribution to journalArticle

    Abstract

    The reported research focuses on establishing tangible links between a series of interrelated databases, covering four major cities in Scotland, namely Aberdeen, Dundee, Edinburgh and Glasgow (20032006). The databases, containing postcode sector information, customer contacts (relating to sewer flooding complaints) and Multiple Deprivation scoring/Census Data, were supplied in a non-common format and mined so as to reveal patterns of information relating to how complaint density varies with population density and social deprivation scores. The research shows that there are indistinct patterns among the cities and that these patterns may be used to define critical density limits to which targeted asset management modelling approaches may be applied.

    Original languageEnglish
    Pages (from-to)62-67
    Number of pages6
    JournalJournal of Flood Risk Management
    Volume5
    Issue number1
    DOIs
    Publication statusPublished - Mar 2012

    Keywords

    • Asset management
    • critical density
    • data mining
    • flooding
    • maintenance

    Cite this

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    abstract = "The reported research focuses on establishing tangible links between a series of interrelated databases, covering four major cities in Scotland, namely Aberdeen, Dundee, Edinburgh and Glasgow (20032006). The databases, containing postcode sector information, customer contacts (relating to sewer flooding complaints) and Multiple Deprivation scoring/Census Data, were supplied in a non-common format and mined so as to reveal patterns of information relating to how complaint density varies with population density and social deprivation scores. The research shows that there are indistinct patterns among the cities and that these patterns may be used to define critical density limits to which targeted asset management modelling approaches may be applied.",
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    A study of population density effects and demographic profiling on recorded customer contacts of sewer flooding. / Unwin, D.; Arthur, S.

    In: Journal of Flood Risk Management, Vol. 5, No. 1, 03.2012, p. 62-67.

    Research output: Contribution to journalArticle

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    AU - Unwin, D.

    AU - Arthur, S.

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    AB - The reported research focuses on establishing tangible links between a series of interrelated databases, covering four major cities in Scotland, namely Aberdeen, Dundee, Edinburgh and Glasgow (20032006). The databases, containing postcode sector information, customer contacts (relating to sewer flooding complaints) and Multiple Deprivation scoring/Census Data, were supplied in a non-common format and mined so as to reveal patterns of information relating to how complaint density varies with population density and social deprivation scores. The research shows that there are indistinct patterns among the cities and that these patterns may be used to define critical density limits to which targeted asset management modelling approaches may be applied.

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    KW - critical density

    KW - data mining

    KW - flooding

    KW - maintenance

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