Evidence map›Paper›PMID 38404874›Full record

ArticleHeliyon2024

Evaluating sustainable municipal solid waste management scenarios: A multicriteria decision making approach.

M A Mujtaba, Adeel Munir, Shahid Imran, Muhammad Kamran Nasir, M Ghulam Muhayyuddin, Abdullah Javed, Amjad Mehmood, Mohamed A Habila, H Fayaz, Atika Qazi

Abstract read
In one paragraph

Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

M A MujtabaDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore (New Campus), Lahore, 54890, Pakistan.
Adeel MunirDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore (New Campus), Lahore, 54890, Pakistan.
Shahid ImranDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore (New Campus), Lahore, 54890, Pakistan.
Muhammad Kamran NasirLahore Waste Management Company, Lahore, Pakistan.
M Ghulam MuhayyuddinDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore (New Campus), Lahore, 54890, Pakistan.
Abdullah JavedDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore (New Campus), Lahore, 54890, Pakistan.
Amjad MehmoodDepartment of Mechanical Engineering, University of Engineering and Technology, Lahore (New Campus), Lahore, 54890, Pakistan.
Mohamed A HabilaDepartment of Chemistry, College of Science, King Saud University, P. O. Box 2455, Riyadh, 11451, Saudi Arabia.
H FayazModeling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City, Vietnam.
Atika QaziCentre for Lifelong Learning, Universiti Brunei Darussalam, Brunei Darussalam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to increasing urbanization and population growth, municipal solid waste management (MSWM) is a significant environmental concern in developing countries. Inadequate waste management systems lead to environmental pollution, health hazards, and economic losses. While considering the challenges and limitations, policymakers and authorities need to opt for such waste management scenarios that are environmentally friendly and resolve energy issues. Ten MSWM scenarios were developed and evaluated using seven different criteria. Four multi-criteria decision-making (MCDM) techniques, namely fuzzy logic, AHP, TOPSIS, and PROMETHEE II, were employed to rank the scenarios and identify the most appropriate option for solid waste management in Lahore. This study highlights that the optimal waste management approach comprises a composition of 54% anaerobic digestion, 37% gasification, and 9% landfill technologies. These percentages collectively represent the most suitable and effective strategies for the city's waste management needs. All the MCDM techniques consistently produce similar results. These scenarios have broader applicability across cities in Central Asia and beyond. The study's findings are aligned to promote sustainable and environmentally friendly MSWM practices. These findings endorse implementing strategies and measures aimed at fostering environmental sustainability and the responsible handling of waste, serving as a valuable reference for various regions.

Indexed as

MCDMMunicipal solid waste managementPROMETHEE IITOPSISTriangular fuzzy numbersWaste to energy

Identifiers

PMID38404874
PMCPMC10884800

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.