4,263 research outputs found

    Attitudes towards waste minimisation amongst labour only sub-contractors

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    Waste generation by the construction industry is a significant issue for the industry and for society generally. The paper examines previous studies of attitudes to waste management within the industry and by means of a small questionnaire study sets out to examine: the extent of labour only sub-contractors’ awareness and understanding of waste as an issue, their perceptions of the causes of waste and their attitudes towards the allocation of financial responsibility for waste minimisation. The survey shows that the results of previous studies can be extended to labour only sub-contractors and it identifies a willingness, beyond what might have been anticipated for this group, to accept some of the costs of waste reduction

    Mortgage valuation report forms and the identification of subsidence

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    This paper examines whether surveyors engaged in mortgage valuation inspections using questionnaire style report forms supplied by lending institutions, are subject to an increased risk of liability in respect of identifying the present and future threat of subsidence to domestic properties. Analysis of the mortgage valuation report forms used by 34 different lending institutions, showed that 20% failed to ask any subsidence related questions, only 6% asked about the geology or soil type of the site, and only 9% asked about the location of trees relative to the building. Evaluation of the report forms showed that the type, quality and quantity of questioning were such that 24 out of the 34 were inadequate and unreliable, leaving the surveyor at an increased risk of litigation

    Empirical geodesic graphs and CAT(k) metrics for data analysis

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    A methodology is developed for data analysis based on empirically constructed geodesic metric spaces. For a probability distribution, the length along a path between two points can be defined as the amount of probability mass accumulated along the path. The geodesic, then, is the shortest such path and defines a geodesic metric. Such metrics are transformed in a number of ways to produce parametrised families of geodesic metric spaces, empirical versions of which allow computation of intrinsic means and associated measures of dispersion. These reveal properties of the data, based on geometry, such as those that are difficult to see from the raw Euclidean distances. Examples of application include clustering and classification. For certain parameter ranges, the spaces become CAT(0) spaces and the intrinsic means are unique. In one case, a minimal spanning tree of a graph based on the data becomes CAT(0). In another, a so-called "metric cone" construction allows extension to CAT(kk) spaces. It is shown how to empirically tune the parameters of the metrics, making it possible to apply them to a number of real cases.Comment: Statistics and Computing, 201
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