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  • 标题:Initial PLS Model of Construction Waste Factors
  • 本地全文:下载
  • 作者:Ismail Abdul Rahman ; Ismail Abdul Rahman ; Sasitharan Nagapan
  • 期刊名称:Procedia - Social and Behavioral Sciences
  • 印刷版ISSN:1877-0428
  • 出版年度:2014
  • 卷号:129
  • 页码:469-474
  • DOI:10.1016/j.sbspro.2014.03.702
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractHuge amount of construction wastes generate annually and affecting our environment. To reduce this impact, construction practitioners need to determine significant contributory factors of waste generation before engaging with construction works. Hence, this study determines significant factors and groups of factors affecting on construction waste generation. Vigorous literature review identified 81 factors for causing construction waste and clustered in 7 groups of factors namely Design, Handling of Materials and Equipment, Workers, Management, Site Condition and Procurement and External. A structures questionnaire designed based on these factors was surveyed and interviewed among 30 experts in construction industry. Respondents need to ranks the factors and also to conform whether the factors belong to the assigned group. Analysis indicated that all the respondents agreed with the factors assigned with the group and mean rank analysis found that 77 factors are above significant level to Malaysian construction environment. These 7 groups of factors were developed into PLS-SEM model to determine significant level in contributing to construction waste. Outcome from the model identified that Procurement group has highest impact on construction waste generation with path coefficient value of 1.188. This model will be useful to entire construction players and help the country to minimize construction waste generation.
  • 关键词:Construction industry;construction waste factors;PLS-SEM model
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