The Effects of Health, Safety and Environmental Criteria on the Performance of Landfilling Process: A Comparative AHP and Fuzzy AHP Analysis.

  • Published In: Journal of Environmental Assessment Policy & Management, 2025, v. 27, n. 1. P. 1 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Abbasi, Soheil; Barzegar, Vahideh; Alizadeh, Seyed Shamseddin; Asgari, Alireza; Gholampour, Akbar 3 of 3

Abstract

Although landfills are among the most important structures for municipal waste disposal worldwide, they are sometimes less preferred due to their impact on people and the environment. This research examines the health, safety and environmental (HSE) factors affecting the municipal solid waste (MSW) landfilling process's performance. Next, it prioritises these factors using the conventional AHP and fuzzy AHP methods. Based on the findings, three main sub-criteria were determined from the 26 sub-criteria, and the environmental, health and safety criteria ranked the first, second and third, respectively. Leachate permeation control, control of pollutant production and hazardous gas monitoring were ranked the highest in terms of relative weight. In the environmental criteria, leachate control, in the health criteria, pollution and in the safety-related criteria, hazardous gas control were ranked the first. In addition, leachate permeation control had the highest global weight. Overall, experts are recommended to pay more attention to environmental issues and prioritise controlling the environmental impact of landfills in their design, construction and operation. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Environmental Assessment Policy & Management. 2025/03, Vol. 27, Issue 1, p1
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2025
  • ISSN:1464-3332
  • DOI:10.1142/S1464333224500170
  • Accession Number:184656580
  • Copyright Statement:Copyright of Journal of Environmental Assessment Policy & Management is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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