Bibliometric and text mining approaches to evaluate landfill design standards

• Main Authors: Amy Richter, Kelvin Tsun Wai Ng, Bahareh Fallah
• Format: Article in Journal/Newspaper
• Language: unknown
• Subjects: Northwest Territories
• Online Access: http://link.springer.com/10.1007/s11192-019-03011-4

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 Landfill design guidelines and regulations, Rank–frequency relationship, Radar charts, Lexical quantification, Spearman rank correlation, Bibliometric analysis and text mining