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Bibliometric and text mining approaches to evaluate landfill design standards

Author

Listed:
  • Amy Richter

    (University of Regina)

  • Kelvin Tsun Wai Ng

    (University of Regina)

  • Bahareh Fallah

    (University of Regina)

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

Suggested Citation

  • Amy Richter & Kelvin Tsun Wai Ng & Bahareh Fallah, 2019. "Bibliometric and text mining approaches to evaluate landfill design standards," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1027-1049, March.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-019-03011-4
    DOI: 10.1007/s11192-019-03011-4
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    References listed on IDEAS

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    1. Li, Shunxi & Su, Bowen & St-Pierre, David L. & Sui, Pang-Chieh & Zhang, Guofang & Xiao, Jinsheng, 2017. "Decision-making of compressed natural gas station siting for public transportation: Integration of multi-objective optimization, fuzzy evaluating, and radar charting," Energy, Elsevier, vol. 140(P1), pages 11-17.
    2. J. Scott Armstrong, 1980. "Unintelligible Management Research and Academic Prestige," Interfaces, INFORMS, vol. 10(2), pages 80-86, April.
    3. Dongliang Zhang & Guangqing Huang & Yimin Xu & Qinghua Gong, 2015. "Waste-to-Energy in China: Key Challenges and Opportunities," Energies, MDPI, vol. 8(12), pages 1-15, December.
    4. Tobback, Ellen & Naudts, Hans & Daelemans, Walter & Junqué de Fortuny, Enric & Martens, David, 2018. "Belgian economic policy uncertainty index: Improvement through text mining," International Journal of Forecasting, Elsevier, vol. 34(2), pages 355-365.
    5. Balakrishnan, Ramji & Qiu, Xin Ying & Srinivasan, Padmini, 2010. "On the predictive ability of narrative disclosures in annual reports," European Journal of Operational Research, Elsevier, vol. 202(3), pages 789-801, May.
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    Cited by:

    1. Abhijeet Ghosh & Kelvin Tsun Wai Ng, 2021. "Temporal and Spatial Distributions of Waste Facilities and Solid Waste Management Strategies in Rural and Urban Saskatchewan, Canada," Sustainability, MDPI, vol. 13(12), pages 1-14, June.

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