PMID- 37807792
OWN - NLM
STAT- MEDLINE
DCOM- 20240311
LR  - 20240311
IS  - 1875-9270 (Electronic)
IS  - 1051-9815 (Linking)
VI  - 77
IP  - 3
DP  - 2024
TI  - Evaluating airports' Sustainable Development Goals by using multi-criteria 
      decision making methodologies.
PG  - 851-864
LID - 10.3233/WOR-220385 [doi]
AB  - BACKGROUND: The recent growth of the aviation industry, which poses significant 
      environmental challenges, has heightened the pressure on the sustainability of 
      airports. Airport sustainability requires a holistic approach that encompasses 
      economic, social, environmental, and operational aspects. In this regard, the 
      United Nations' 17 Sustainable Development Goals (SDGs) Agenda provides a roadmap 
      for the aviation industry. However, despite recognizing the importance of SDGs, 
      aviation authorities and airports often fail to effectively integrate them into 
      their activities and annual reports. OBJECTIVE: This study aims to evaluate the 
      significance of SDGs for airports and select the airport that prioritizes SDGs 
      the most using Multi-Criteria Decision Making (MCDM) methodologies. METHODS: This 
      study introduces a novel approach that integrates Step-wise Weight Assessment 
      Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) 
      methods, which are MCDM techniques, to enhance airport sustainability. The SWARA 
      method is employed to evaluate and assign weights to the SDGs in the context of 
      airports. RESULTS: SDG 8 holds the highest level of significance among the goals 
      concerning airports, while SDG 14 falls outside the scope of airport 
      sustainability aspects. Then, five international airports that have been 
      designated as green airports by aviation authorities and assessment organizations 
      are selected, and the optimal alternative is determined using the WASPAS method, 
      considering the weights obtained through SWARA. CONCLUSION: Dallas/Fort Worth 
      International Airport is the top choice due to its successful implementations and 
      reports aligning with the SDGs.
FAU - Durmaz, Vildan
AU  - Durmaz V
AD  - Department of Aviation Management, Eskisehir Technical University, Eskisehir, 
      Turkey.
FAU - Yazgan, Ebru
AU  - Yazgan E
AD  - Department of Airframe and Powerplant Maintenance, Eskisehir Technical 
      University, Eskisehir, Turkey.
FAU - Delice, Elif Kilic
AU  - Delice EK
AD  - Department of Industrial Engineering, Ataturk University, Erzurum, Turkey.
FAU - Celem, Beste Pelin
AU  - Celem BP
AD  - Department of Aviation Management, Eskisehir Technical University, Eskisehir, 
      Turkey.
LA  - eng
PT  - Journal Article
PL  - Netherlands
TA  - Work
JT  - Work (Reading, Mass.)
JID - 9204382
SB  - IM
MH  - Humans
MH  - *Airports
MH  - Sustainable Development
MH  - *Aviation
MH  - Decision Making
MH  - Goals
OTO - NOTNLM
OT  - MCDM
OT  - SDGs
OT  - SWARA
OT  - WASPAS
OT  - airports
OT  - ergonomics
EDAT- 2023/10/09 06:42
MHDA- 2024/03/11 06:43
CRDT- 2023/10/09 03:43
PHST- 2024/03/11 06:43 [medline]
PHST- 2023/10/09 06:42 [pubmed]
PHST- 2023/10/09 03:43 [entrez]
AID - WOR220385 [pii]
AID - 10.3233/WOR-220385 [doi]
PST - ppublish
SO  - Work. 2024;77(3):851-864. doi: 10.3233/WOR-220385.