Bibliometric and text mining approaches to evaluate landfill design standards

Amy Richter, Kelvin Tsun Wai Ng () and Bahareh Fallah
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Amy Richter: University of Regina
Kelvin Tsun Wai Ng: University of Regina
Bahareh Fallah: University of Regina

Scientometrics, 2019, vol. 118, issue 3, No 15, 1027-1049

Abstract: Abstract In 2014, Canadians generated 961 kg of waste per capita. Landfilling is a logical choice for many Canadian communities because of land availability. This paper examines and compares five different design criteria from provincial standards and guidelines in British Columbia, Alberta, Manitoba, Nova Scotia, and the Northwest Territories. Text mining including word counts, word frequency analysis, lexical quantification, and the Gunning-Fog Index are used to identify linguistic and stylistic features in the corpora. Results show that design standards and guidelines tend to be driven by climate, demographic, and environmental considerations. Rank–frequency analysis showed that the design standards were non-Zipfian (0.409

Keywords: Landfill design guidelines and regulations; Rank–frequency relationship; Radar charts; Lexical quantification; Spearman rank correlation; Bibliometric analysis and text mining (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s11192-019-03011-4

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