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Minding the Gap: Optimizing airport schedule displacement and acceptability

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Minding the Gap: Optimizing airport schedule displacement and acceptability. / Zografos, Konstantinos G; Androutsopoulos, Konstantinos N.; Madas, Michael A.
In: Transportation Research Part A: Policy and Practice, Vol. 114, No. Part A, 01.08.2018, p. 203-221.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Zografos, KG, Androutsopoulos, KN & Madas, MA 2018, 'Minding the Gap: Optimizing airport schedule displacement and acceptability', Transportation Research Part A: Policy and Practice, vol. 114, no. Part A, pp. 203-221. https://doi.org/10.1016/j.tra.2017.09.025

APA

Zografos, K. G., Androutsopoulos, K. N., & Madas, M. A. (2018). Minding the Gap: Optimizing airport schedule displacement and acceptability. Transportation Research Part A: Policy and Practice, 114(Part A), 203-221. https://doi.org/10.1016/j.tra.2017.09.025

Vancouver

Zografos KG, Androutsopoulos KN, Madas MA. Minding the Gap: Optimizing airport schedule displacement and acceptability. Transportation Research Part A: Policy and Practice. 2018 Aug 1;114(Part A):203-221. Epub 2017 Nov 7. doi: 10.1016/j.tra.2017.09.025

Author

Zografos, Konstantinos G ; Androutsopoulos, Konstantinos N. ; Madas, Michael A. / Minding the Gap : Optimizing airport schedule displacement and acceptability. In: Transportation Research Part A: Policy and Practice. 2018 ; Vol. 114, No. Part A. pp. 203-221.

Bibtex

@article{5e1ec73946cb4fceafe89e9223298c59,
title = "Minding the Gap: Optimizing airport schedule displacement and acceptability",
abstract = "Serious congestion problems at slot-controlled airports worldwide call for some action. Slot scheduling related research has mainly focused on scheduling models allocating airport capacity by optimising scheduling efficiency. However, existing literature does not capture the effect of slot allocation decisions on the acceptability of slot schedules. The objective of this paper is to investigate the trade-off between scheduling efficiency and the airlines{\textquoteright} dis-utility of slot schedules expressed by various metrics of schedule displacement. We develop and solve two bi-objective scheduling models considering different combinations of total and maximum acceptable slot displacement objectives. The proposed models are applied to real-world scheduling data. Substantial improvements in schedule acceptability metrics are achieved without sacrificing a lotin terms of scheduling efficiency. Sacrifices in scheduling efficiency increase the capability of the airport coordinator to allocate slots that are eventually acceptable and hence more intensively used. ",
keywords = "Airport scheduling, Slot allocation, Demand management, Bi-objective optimisation",
author = "Zografos, {Konstantinos G} and Androutsopoulos, {Konstantinos N.} and Madas, {Michael A.}",
year = "2018",
month = aug,
day = "1",
doi = "10.1016/j.tra.2017.09.025",
language = "English",
volume = "114",
pages = "203--221",
journal = "Transportation Research Part A: Policy and Practice",
issn = "0965-8564",
publisher = "Elsevier Limited",
number = "Part A",

}

RIS

TY - JOUR

T1 - Minding the Gap

T2 - Optimizing airport schedule displacement and acceptability

AU - Zografos, Konstantinos G

AU - Androutsopoulos, Konstantinos N.

AU - Madas, Michael A.

PY - 2018/8/1

Y1 - 2018/8/1

N2 - Serious congestion problems at slot-controlled airports worldwide call for some action. Slot scheduling related research has mainly focused on scheduling models allocating airport capacity by optimising scheduling efficiency. However, existing literature does not capture the effect of slot allocation decisions on the acceptability of slot schedules. The objective of this paper is to investigate the trade-off between scheduling efficiency and the airlines’ dis-utility of slot schedules expressed by various metrics of schedule displacement. We develop and solve two bi-objective scheduling models considering different combinations of total and maximum acceptable slot displacement objectives. The proposed models are applied to real-world scheduling data. Substantial improvements in schedule acceptability metrics are achieved without sacrificing a lotin terms of scheduling efficiency. Sacrifices in scheduling efficiency increase the capability of the airport coordinator to allocate slots that are eventually acceptable and hence more intensively used.

AB - Serious congestion problems at slot-controlled airports worldwide call for some action. Slot scheduling related research has mainly focused on scheduling models allocating airport capacity by optimising scheduling efficiency. However, existing literature does not capture the effect of slot allocation decisions on the acceptability of slot schedules. The objective of this paper is to investigate the trade-off between scheduling efficiency and the airlines’ dis-utility of slot schedules expressed by various metrics of schedule displacement. We develop and solve two bi-objective scheduling models considering different combinations of total and maximum acceptable slot displacement objectives. The proposed models are applied to real-world scheduling data. Substantial improvements in schedule acceptability metrics are achieved without sacrificing a lotin terms of scheduling efficiency. Sacrifices in scheduling efficiency increase the capability of the airport coordinator to allocate slots that are eventually acceptable and hence more intensively used.

KW - Airport scheduling

KW - Slot allocation

KW - Demand management

KW - Bi-objective optimisation

U2 - 10.1016/j.tra.2017.09.025

DO - 10.1016/j.tra.2017.09.025

M3 - Journal article

VL - 114

SP - 203

EP - 221

JO - Transportation Research Part A: Policy and Practice

JF - Transportation Research Part A: Policy and Practice

SN - 0965-8564

IS - Part A

ER -