Enhancing the discussion of alternatives in EIA using principle component analysis leads to improved public involvement

作者: Tetsuya Kamijo , Guangwei Huang

DOI: 10.1016/J.EIAR.2017.04.009

关键词:

摘要: Abstract The purpose of this study is to show the effectiveness principle component analysis (PCA) as a method alternatives useful for improving discussion and public involvement. This examined consultations by applying quantitative text (QTA) minutes meetings showed positive correlation between sense may improve A table multiple criteria with detailed scores exclude from involvement due general public's limited capacity understand mathematical algorithm process too much information. PCA allowed reduction down small number uncorrelated variables (principle components), display merits demerits alternatives, potentially made identification preferable stakeholders easier. likely enhance result, lead improved

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