Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
A sustainable aviation sector index to benchmark the landside and airside based on airport-airline pairs
Date
2017-01-01
Author
Kilkis, San
Kılkış, Şiir
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
196
views
0
downloads
Cite This
This paper develops and applies a sustainable aviation sector index to benchmark the performance of airport and airline pairs. The index is composed of two subindices that address the landside and airside of the aviation sector. These indices involve 5 dimensions and 25 indicators on the landside and 4 dimensions and 20 indicators on the airside, respectively. The sum of the products of the normalised values of the related dimensions on the landside and airside are then used to obtain single composite indicator values for each airport and airline pair. The airport and airline pairs to which these subindices are applied represent the main airport hubs of major international airlines. In total, 20 airport and airline pairs are subjugated to the analyses that contain 15 different airports and 13 different airlines. The results indicate the pairs that have above average performances in multiple aspects of aviation services and quality, energy consumption, carbon dioxide emissions, and sustainable aviation measures in a comprehensive manner. According to the results, the airport and airline pairs that are in the top 5 are those that are marked as P-1, P-5, P-19, P-14 and P-16 in the sample. These leading pairs attain values between 8.8 and 7.2 in the integrated index whereas the average value for all pairs is 5.6. The research work contributes to the literature by providing an integrated approach to benchmark the landside and airside of the aviation sector. Such an integrated approach is useful for allowing airport and airline managers in partnering across the landside and airside to excel toward a more sustainable aviation sector to challenge the future.
Subject Keywords
airlines
,
airports
,
airside
,
aviation
,
composite indicator
,
landside
,
ranking
,
AIR-QUALITY
,
UK
,
EFFICIENCY
,
IMPACT
,
PERFORMANCE
,
CONSUMPTION
,
EMISSIONS
,
TRANSPORT
,
INDUSTRY
,
SYSTEMS
URI
https://hdl.handle.net/11511/94795
Journal
INTERNATIONAL JOURNAL OF SUSTAINABLE AVIATION
DOI
https://doi.org/10.1504/ijsa.2017.10007970
Collections
Graduate School of Natural and Applied Sciences, Article
Suggestions
OpenMETU
Core
Benchmarking airports based on a sustainability ranking index
Kilkis, San; Kılkış, Şiir (2016-09-01)
This paper develops and applies a Sustainability Ranking of Airports Index to benchmark the performance of airports across multiple factors. The index is a composite indicator with 5 dimensions and 25 indicators. The dimensions are airport services and quality, energy consumption and generation, carbon dioxide emissions and mitigation planning, environmental management and biodiversity, and atmosphere and low emission transport. The index is applied to a sample of 9 airports that take place among the busies...
An integrated approach for airline scheduling, aircraft fleeting and routing with cruise speed control
Gurkan, Huseyin; Gürel, Sinan; Akturk, M. Selim (2016-07-01)
To place an emphasis on profound relations among airline schedule planning problems and to mitigate the effect of unexpected delays, we integrate schedule design, fleet assignment and aircraft routing problems Within a daily planning horizon while passengers' connection service levels are ensured via chance constraints. We propose a nonlinear mixed integer programming model due to the nonlinear fuel consumption and CO2 emission cost terms in the objective function, which is handled by second order conic ref...
A simplistic flight model for exergy embodiment of composite materials towards nearly-zero exergy aviation
Kilkis, Birol; Kilkis, San; Kılkış, Şiir (2019-01-01)
In this paper, a new model for the embodied exergy payback period is presented, which considers the exergy savings during acceleration and take-off, climb, trim-level cruise, descent and thrust reversal in landing for each flight versus higher exergy embodiment of composites that are used during manufacturing when compared to metals. The research work has ramifications for determining the optimum balance of lightweight and conventional material usage, thus improving the economic and environmental performanc...
Dynamic pricing for airline revenue management problem with cancellation possibility
Selçuk, Ahmet Melih; Avşar, Zeynep Müge; Department of Operational Research (2014)
In this study, dynamic pricing methods are developed for airline revenue management problem. The bookings for a particular flight are considered in two classes as restricted and flexible bookings representing whether the buyer can claim a refund in case of a cancellation. The different classes of bookings are considered for the same inventory to be sold at different prices. For pricing the restricted bookings, the principle ideas in revenue management literature are adopted to maximize revenues by managing ...
Integrated aircraft-path assignment and robust schedule design with cruise speed control
Safak, Ozge; Gürel, Sinan; Akturk, M. Selim (2017-08-01)
Assignment of aircraft types, each having different seat capacity, operational expenses and availabilities, critically affects airlines' overall cost. In this paper, we assign fleet types to paths by considering not only flight timing and passenger demand, as commonly done in the literature, but also operational expenses, such as fuel burn and carbon emission costs associated with adjusting the cruise speed to ensure the passenger connections. In response to flight time uncertainty due to the airport conges...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
S. Kilkis and Ş. Kılkış, “A sustainable aviation sector index to benchmark the landside and airside based on airport-airline pairs,”
INTERNATIONAL JOURNAL OF SUSTAINABLE AVIATION
, vol. 3, no. 3, pp. 171–199, 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/94795.