IDEAS home Printed from https://ideas.repec.org/a/spr/scient/v118y2019i3d10.1007_s11192-019-03011-4.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11192-019-03011-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11192-019-03011-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. J. Scott Armstrong, 1980. "Unintelligible Management Research and Academic Prestige," Interfaces, INFORMS, vol. 10(2), pages 80-86, April.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kamaladdin Fataliyev & Aneesh Chivukula & Mukesh Prasad & Wei Liu, 2021. "Stock Market Analysis with Text Data: A Review," Papers 2106.12985, arXiv.org, revised Jul 2021.
    2. Bailliu, Jeannine & Han, Xinfen & Kruger, Mark & Liu, Yu-Hsien & Thanabalasingam, Sri, 2019. "Can media and text analytics provide insights into labour market conditions in China?," International Journal of Forecasting, Elsevier, vol. 35(3), pages 1118-1130.
    3. Alejandro Avenburg & John Gerring & Jason Seawright, 2023. "How do social scientists reach causal inferences? A study of reception," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 257-275, February.
    4. Makarichi, Luke & Jutidamrongphan, Warangkana & Techato, Kua-anan, 2018. "The evolution of waste-to-energy incineration: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 812-821.
    5. Stella D. Juventia & Sarah K. Jones & Marie-Angélique Laporte & Roseline Remans & Chiara Villani & Natalia Estrada-Carmona, 2020. "Text Mining National Commitments towards Agrobiodiversity Conservation and Use," Sustainability, MDPI, vol. 12(2), pages 1-19, January.
    6. Bhanu Pratap & Nalin Priyaranjan, 2023. "Macroeconomic effects of uncertainty: a Google trends-based analysis for India," Empirical Economics, Springer, vol. 65(4), pages 1599-1625, October.
    7. Mikhaylov, Dmitry, 2023. "Macroeconomic Forecasting with the Use of News Data," Working Papers w20220250, Russian Presidential Academy of National Economy and Public Administration.
    8. Zhou, Jianli & Wu, Yunna & Tao, Yao & Gao, Jianwei & Zhong, Zhiming & Xu, Chuanbo, 2021. "Geographic information big data-driven two-stage optimization model for location decision of hydrogen refueling stations: An empirical study in China," Energy, Elsevier, vol. 225(C).
    9. Dolnicar, Sara & Chapple, Alexander, 2015. "The readability of articles in tourism journals," Annals of Tourism Research, Elsevier, vol. 52(C), pages 161-166.
    10. Song, Jinbo & Sun, Yan & Jin, Lulu, 2017. "PESTEL analysis of the development of the waste-to-energy incineration industry in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 276-289.
    11. Green, Kesten C. & Armstrong, J. Scott, 2015. "Simple versus complex forecasting: The evidence," Journal of Business Research, Elsevier, vol. 68(8), pages 1678-1685.
    12. Gillmann, Niels & Kim, Alisa, 2021. "Quantification of Economic Uncertainty: a deep learning approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242421, Verein für Socialpolitik / German Economic Association.
    13. Massoud Sofi & Ylias Sabri & Zhiyuan Zhou & Priyan Mendis, 2019. "Transforming Municipal Solid Waste into Construction Materials," Sustainability, MDPI, vol. 11(9), pages 1-22, May.
    14. Alasdair Reid, 2023. "Closing the Affordable Housing Gap: Identifying the Barriers Hindering the Sustainable Design and Construction of Affordable Homes," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    15. Tsai, Ming-Feng & Wang, Chuan-Ju, 2017. "On the risk prediction and analysis of soft information in finance reports," European Journal of Operational Research, Elsevier, vol. 257(1), pages 243-250.
    16. David F. Larcker & Anastasia A. Zakolyukina, 2012. "Detecting Deceptive Discussions in Conference Calls," Journal of Accounting Research, Wiley Blackwell, vol. 50(2), pages 495-540, May.
    17. Mengke Qiao & Ke-Wei Huang, 2021. "Correcting Misclassification Bias in Regression Models with Variables Generated via Data Mining," Information Systems Research, INFORMS, vol. 32(2), pages 462-480, June.
    18. Santiago Alzate-Arias & Álvaro Jaramillo-Duque & Fernando Villada & Bonie Restrepo-Cuestas, 2018. "Assessment of Government Incentives for Energy from Waste in Colombia," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    19. Ingrid E. Fisher & Margaret R. Garnsey & Mark E. Hughes, 2016. "Natural Language Processing in Accounting, Auditing and Finance: A Synthesis of the Literature with a Roadmap for Future Research," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 23(3), pages 157-214, July.
    20. Xiang Gou & Yang Fu & Imran Ali Shah & Yamei Li & Guoyou Xu & Yue Yang & Enyu Wang & Liansheng Liu & Jinxiang Wu, 2016. "Research on a Household Dual Heat Source Heat Pump Water Heater with Preheater Based on ASPEN PLUS," Energies, MDPI, vol. 9(12), pages 1-16, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-019-03011-4. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.