对都市固体废物管理的回收态度和行为的统计分析:南非约翰内斯堡大学的个案研究

Olusola Olaitan Ayeleru , Nick Fewster-Young , Sefater Gbashi , Ayooluwa Tomiwa Akintola , Ishmael Matala Ramatsa , Peter Apata Olubambi
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引用次数: 3

摘要

由于人口的持续增长,城市固体废物的快速产生已成为全球关注的问题,尽管如此,南非对城市固体废物行为态度的研究却很少。本文旨在评估约翰内斯堡大学教职员工和学生对废物管理的态度和行为。编制了一份结构化问卷,并通过在线谷歌表格调查和纸质调查对约翰内斯堡大学校园的学生和教职员工进行了随机抽样。参与调查的受访者总数为2591人,其中在线谷歌表格得到956份回复,纸质表格得到1635份回复。通过Logistic回归模型调查了公众对城市固体废物产生的看法、意见和改变态度的可能性。探索性数据分析和依赖性卡方检验用于分析α_0.05的数据,并开发了Logistic回归模型。与垃圾箱收集状态和受访者的学生学习模式相关的定性数据显示出显著的依赖关系,以及他们在p值小于0.05时支持回收的意愿。定量数据的统计分析为数据之间的关系提供了足够的统计证据,此外,从调查和分析中获得的变量允许开发逻辑模型预测,以评估行为态度模式。所提出的逻辑模型解释了支持回收意愿的“是”概率和属性反应的中位得分。就所收集数据的可靠性而言,这是使用Cronbachα进行确认的,主要显著α水平在0.72和0.93之间。这启动了对行为态度的评估,可能会扩展到长期研究,并在即将进行的研究中扩展到邻国。总体而言,数据分析显示,受访者支持回收的意愿得到了显著而积极的结论。
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A statistical analysis of recycling attitudes and behaviours towards municipal solid waste management: A case study of the University of Johannesburg, South Africa

Rapid generation of municipal solid waste (MSW) has become an issue of global concern due to continuous population growth and despite this, there has been a dearth of study on behavioural attitude towards municipal solid waste in South Africa. This paper aims to evaluate the attitudes and behaviour of staff and students at the University of Johannesburg towards waste management. A structured questionnaire was formulated and administered to a random sample of students and staff at the University of Johannesburg campuses via online Google form survey and paper-based survey. A total number of respondents who took part in the survey were 2591 where the online Google form generated 956 responses and the paper-based gave 1635 responses. Perception, opinions, and the likelihood of the public changing their attitudes toward municipal solid waste generation were investigated via a Logistic regression model. Exploratory data analysis, and Chi-squared tests for dependency were used to analyse data at α_0.05 and the development of a Logistic regression model was carried out. The qualitative data associated to the collection status of bins and a student’s study mode of the respondents showed a significant dependent relationship, and their willingness to support recycling where the p-values were less than 0.05. The statistical analysis of the quantitative data produced enough statistical evidence of relationships between the data, and in addition, the variables obtained from the survey and the analysis allowed for the development of a logistic model prediction for the assessment of behavioural attitudinal patterns. The logistic model presented explains the probability of “yes” and median score of attribute responses towards willingness to support recycling. In terms of the reliability of the data collected, this was confirmed using Cronbach’s alpha with a major significant α level between 0.72 and 0.93. This initiates the assessment of behavioural attitude may be widened to long-term research and extended to neighbouring nations in upcoming study. Overall, the data analysis showed there is a significant and positive conclusion to the willingness to support recycling by the respondents.

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