A fuzzy assessment method to airport waste management: A case study of Congonhas Airport, Brazil. (August 2020)
- Record Type:
- Journal Article
- Title:
- A fuzzy assessment method to airport waste management: A case study of Congonhas Airport, Brazil. (August 2020)
- Main Title:
- A fuzzy assessment method to airport waste management: A case study of Congonhas Airport, Brazil
- Authors:
- Santos, Alexsander José dos
Mancini, Sandro Donnini
Frutuoso Roveda, José Arnaldo
Ewbank, Henrique
Roveda, Sandra Regina Monteiro Masalskiene - Abstract:
- Abstract: This study presents a fuzzy mathematical model to support and evaluate airport waste management. The model generates a waste management index, composed of three dimensions, and it was applied in a case study of Congonhas Airport, located in Brazil. In addition to the mathematical model, the nonparametric Mann-Kendall test was applied to verify the existence of bias in the obtained results. The results showed that there is a concern on the part of the airport regarding waste management, reflected in the Fuzzy Waste Management Index (FWMI) results. They also indicated that there was an improvement in waste management in 2015 compared to 2014, resulting from increased accounting for recyclables and awareness of the airport community. The developed model proved to be an important tool to support the decision making of airport managers, including aspects related to waste management steps, and there may be adjustments that may be made to include new indicators. Highlights: Waste Management Index to support and evaluate airport waste management was developed. The index measured the improvements in recycling and disposal of waste identified in Congonhas Airport. The model proposed was able to reflect the improvement of the airport in waste management at the airport studied. The increase in accounting for recyclable materials contributed to the improvement of waste management at Congonhas Airport. The proposed model can be an important tool for decision making by airportAbstract: This study presents a fuzzy mathematical model to support and evaluate airport waste management. The model generates a waste management index, composed of three dimensions, and it was applied in a case study of Congonhas Airport, located in Brazil. In addition to the mathematical model, the nonparametric Mann-Kendall test was applied to verify the existence of bias in the obtained results. The results showed that there is a concern on the part of the airport regarding waste management, reflected in the Fuzzy Waste Management Index (FWMI) results. They also indicated that there was an improvement in waste management in 2015 compared to 2014, resulting from increased accounting for recyclables and awareness of the airport community. The developed model proved to be an important tool to support the decision making of airport managers, including aspects related to waste management steps, and there may be adjustments that may be made to include new indicators. Highlights: Waste Management Index to support and evaluate airport waste management was developed. The index measured the improvements in recycling and disposal of waste identified in Congonhas Airport. The model proposed was able to reflect the improvement of the airport in waste management at the airport studied. The increase in accounting for recyclable materials contributed to the improvement of waste management at Congonhas Airport. The proposed model can be an important tool for decision making by airport managers. … (more)
- Is Part Of:
- Journal of air transport management. Volume 87(2020)
- Journal:
- Journal of air transport management
- Issue:
- Volume 87(2020)
- Issue Display:
- Volume 87, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 87
- Issue:
- 2020
- Issue Sort Value:
- 2020-0087-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-08
- Subjects:
- Fuzzy modeling -- Solid waste management -- Airports -- Systems based on fuzzy rules -- Airport waste
Airlines -- Management -- Periodicals
Aeronautics, Commercial -- Management -- Periodicals
387.7068 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09696997 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jairtraman.2020.101838 ↗
- Languages:
- English
- ISSNs:
- 0969-6997
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4926.550000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 13695.xml