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Wasteful disposition: Analysis of municipal household waste using geodemographic classification

机译:废物处置:使用地理人口分类法分析城市生活垃圾

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The continuous flow of resources through the economy is the origin of most of the environmental problems evident today. These problems are directly related to production and introduction of wastes and pollutants into the natural environment. The study investigated the relationship between household waste and geodemographic grouping (GDG) at the municipal level across England. A correlation analysis of the GDG and waste data revealed a positive relationship between waste and proportion of different GDG. A robust regression model generated represents 74% of the variation across the dataset, and it shows that there is a significant relationship between municipal waste and GDG. A higher number of GDG (e.g. 3, 4, 6, 7 and 8) displayed a very strong association with increasing total municipal household waste (TMHW). GDG such as 1, 2 and 10, despite their higher disposable incomes, displayed a weak association with TMHW. Furthermore, GDGs such as 8,3,7,4 and 6 generated more household waste in comparison to GDG. This model provides an understanding that can influence the organisation of waste management programmes and forecasting of municipal waste. It also provides essential input for decisions in structuring promotion of sustainable behaviour and implementing local initiatives to support such activities.
机译:资源不断流经经济是当今许多环境问题的根源。这些问题与废物的产生和将废物和污染物引入自然环境直接相关。这项研究调查了英格兰各地市级家庭垃圾与地理人口分组(GDG)之间的关系。对GDG和废物数据的相关分析显示,废物与不同GDG的比例之间呈正相关。生成的健壮回归模型代表了整个数据集中74%的变化,并且表明城市垃圾与GDG之间存在显着的关系。 GDG的数量较高(例如3、4、6、7和8)与城市生活垃圾总量(TMHW)的增加密切相关。 GDG(例如1、2和10)尽管可支配收入较高,但与TMHW的关联性较弱。此外,与GDG相比,诸如8,3,7,4和6的GDG产生了更多的家庭垃圾。该模型提供的理解会影响废物管理计划的组织和城市废物的预测。它还为决策的可持续发展提供了重要信息,以促进可持续行为的制定和实施支持此类活动的地方计划。

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