The Impact of Taxiway System Development Stages on Runway Capacity and Delay under Demand Volatility
This study aims to determine the impact of the International Civil Aviation Organization’s (ICAO) taxiway system development stages on runway capacity and delays in a single-runway airport that serves mixed operations by using a combined approach integrating the capacity-demand estimation analyses....
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
|
| Series: | Aerospace |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2226-4310/10/1/6 |
| _version_ | 1797439165142401024 |
|---|---|
| author | Kadir Dönmez Emre Aydoğan Cem Çetek Erdem Emin Maraş |
| author_facet | Kadir Dönmez Emre Aydoğan Cem Çetek Erdem Emin Maraş |
| author_sort | Kadir Dönmez |
| collection | DOAJ |
| description | This study aims to determine the impact of the International Civil Aviation Organization’s (ICAO) taxiway system development stages on runway capacity and delays in a single-runway airport that serves mixed operations by using a combined approach integrating the capacity-demand estimation analyses. We proposed a generic and systematic approach to taxiway development alternatives based on the ICAO guidelines rather than case-specific improvements presented in previous studies. The Samsun Çarşamba Airport (LTFH), which has the most basic level of taxiway layout, was chosen as a case study. The development stages were modeled and run in a fast-time simulation environment for different traffic scenarios based on historical data. As a result of modelling, average airborne and gate waiting delay of arrivals, queue delay of departures, taxi times, and runway occupation times were obtained. In addition, gate sensitivity and cost-benefit analyses were carried out. A triple exponential smoothing forecast was performed for different scenarios including normal, runway closures, COVID-19, and recovery from COVID-19. Practical capacities of the stages were revealed using the results of simulation and traffic demand forecasts. In addition, we evaluated the potential operational improvements of the stages by modifying a previously presented mathematical model. The proposed approach can assist airport operators in predicting the airport capacity saturation and selecting the best capacity improvement strategy for unexpected events. |
| first_indexed | 2024-03-09T11:48:46Z |
| format | Article |
| id | doaj.art-bf73f17283e24bf2a5c7965791f5a13d |
| institution | Directory Open Access Journal |
| issn | 2226-4310 |
| language | English |
| last_indexed | 2024-03-09T11:48:46Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Aerospace |
| spelling | doaj.art-bf73f17283e24bf2a5c7965791f5a13d2023-11-30T23:18:00ZengMDPI AGAerospace2226-43102022-12-01101610.3390/aerospace10010006The Impact of Taxiway System Development Stages on Runway Capacity and Delay under Demand VolatilityKadir Dönmez0Emre Aydoğan1Cem Çetek2Erdem Emin Maraş3Aircraft Maintenance Department, Samsun University, Samsun 55420, TurkeyDepartment of Air Traffic Control, Eskişehir Technical University, Eskişehir 26555, TurkeyDepartment of Air Traffic Control, Eskişehir Technical University, Eskişehir 26555, TurkeyFlight Training Department, Samsun University, Samsun 55420, TurkeyThis study aims to determine the impact of the International Civil Aviation Organization’s (ICAO) taxiway system development stages on runway capacity and delays in a single-runway airport that serves mixed operations by using a combined approach integrating the capacity-demand estimation analyses. We proposed a generic and systematic approach to taxiway development alternatives based on the ICAO guidelines rather than case-specific improvements presented in previous studies. The Samsun Çarşamba Airport (LTFH), which has the most basic level of taxiway layout, was chosen as a case study. The development stages were modeled and run in a fast-time simulation environment for different traffic scenarios based on historical data. As a result of modelling, average airborne and gate waiting delay of arrivals, queue delay of departures, taxi times, and runway occupation times were obtained. In addition, gate sensitivity and cost-benefit analyses were carried out. A triple exponential smoothing forecast was performed for different scenarios including normal, runway closures, COVID-19, and recovery from COVID-19. Practical capacities of the stages were revealed using the results of simulation and traffic demand forecasts. In addition, we evaluated the potential operational improvements of the stages by modifying a previously presented mathematical model. The proposed approach can assist airport operators in predicting the airport capacity saturation and selecting the best capacity improvement strategy for unexpected events.https://www.mdpi.com/2226-4310/10/1/6taxiway system development stagesfast-time simulationpractical capacitytriple exponential smoothingunexpected eventsmathematical modeling |
| spellingShingle | Kadir Dönmez Emre Aydoğan Cem Çetek Erdem Emin Maraş The Impact of Taxiway System Development Stages on Runway Capacity and Delay under Demand Volatility Aerospace taxiway system development stages fast-time simulation practical capacity triple exponential smoothing unexpected events mathematical modeling |
| title | The Impact of Taxiway System Development Stages on Runway Capacity and Delay under Demand Volatility |
| title_full | The Impact of Taxiway System Development Stages on Runway Capacity and Delay under Demand Volatility |
| title_fullStr | The Impact of Taxiway System Development Stages on Runway Capacity and Delay under Demand Volatility |
| title_full_unstemmed | The Impact of Taxiway System Development Stages on Runway Capacity and Delay under Demand Volatility |
| title_short | The Impact of Taxiway System Development Stages on Runway Capacity and Delay under Demand Volatility |
| title_sort | impact of taxiway system development stages on runway capacity and delay under demand volatility |
| topic | taxiway system development stages fast-time simulation practical capacity triple exponential smoothing unexpected events mathematical modeling |
| url | https://www.mdpi.com/2226-4310/10/1/6 |
| work_keys_str_mv | AT kadirdonmez theimpactoftaxiwaysystemdevelopmentstagesonrunwaycapacityanddelayunderdemandvolatility AT emreaydogan theimpactoftaxiwaysystemdevelopmentstagesonrunwaycapacityanddelayunderdemandvolatility AT cemcetek theimpactoftaxiwaysystemdevelopmentstagesonrunwaycapacityanddelayunderdemandvolatility AT erdememinmaras theimpactoftaxiwaysystemdevelopmentstagesonrunwaycapacityanddelayunderdemandvolatility AT kadirdonmez impactoftaxiwaysystemdevelopmentstagesonrunwaycapacityanddelayunderdemandvolatility AT emreaydogan impactoftaxiwaysystemdevelopmentstagesonrunwaycapacityanddelayunderdemandvolatility AT cemcetek impactoftaxiwaysystemdevelopmentstagesonrunwaycapacityanddelayunderdemandvolatility AT erdememinmaras impactoftaxiwaysystemdevelopmentstagesonrunwaycapacityanddelayunderdemandvolatility |