Airport Runway System Performance Capacity Assessment: The Case Study for Addis Ababa Bole International Airport Runway System
| dc.contributor.advisor | Robeam Solomon | |
| dc.contributor.author | Alemu Weldemariam | |
| dc.date.accessioned | 2025-01-14T13:58:29Z | |
| dc.date.available | 2025-01-14T13:58:29Z | |
| dc.date.issued | 2024-06 | |
| dc.description.abstract | The airfield's capacity is a crucial aspect vital to airport transportation services, with the runway serving as a pivotal component influencing the airport's overall capacity. This study focuses on analyzing the capacity and demand of the airfield particularly the runway at Addis Ababa Bole International Airport (AABIA). Flight data, encompassing daily operations on various sampled dates under different weather conditions, aircraft compositions, seasonal variations, across multiple years, and, during peak and non-peak hours has been meticulously sampled, modeled, analyzed, and filtered to identify the maximum hourly capacity and the potential capacity constraints factors. Two method of capacity analysis have been used. The first method is Federal Aviation Administration (FAA) Advisory Circular AC 150/5060-51. Using this method, 40, 50, and 60 Percent Arrival capacity was calculated and this capacity figure identified the general status of the capacity compared to the current demand and deep understanding achieved. In the Second method (ICAO), aircraft separation rules for arriving and departing aircraft were taken into account. Based on the nature of the aircraft fleet mix statistical analysis Poisson Joint cumulative Distribution for leading and following aircraft was computed for all possibilities. After getting the capacity at four points of arrival departure combinations joining those four points on the arrival vs departure graph serves as the capacity curve or capacity envelope. By inserting the actual current arrival vs departure data in the same graph of the capacity envelope, the current demand compared to the capacity is identified. Conversely, the impact of runway occupancy time and actual runway demand on departure delays has been evaluated using linear regression. The study results indicate that actual demand has no effect on departure delays. However, the duration of runway occupancy has a slight influence on delays, suggesting that the current demand has not yet reached the runway system's capacity. Therefore, the delays are caused by the factors which are not related to the runway system. The general conclusion is reached that the capacity of the runway system is higher than the current demand indicating that at this point the Runway system is not a major factor in any current delays in aircraft operations. In other terms, the findings reveal that the current runway capacity can sufficiently meet the current demand. Despite the capacity of the runway system exceeding demand during peak hours, the study indicates that the average runway occupancy time is higher compared to similar hub airports such as London Gatwick and Mumbai airports which are busier airports that have a similar runway system and handles a mix of Heavy and Medium aircraft similarly, indicating that proactive measures is required to enhance the capacity of the runway system to ensure that the runway system will accommodate the future demand without causing excess delays. | |
| dc.identifier.uri | https://etd.aau.edu.et/handle/123456789/4098 | |
| dc.language.iso | en_US | |
| dc.publisher | Addis Ababa university | |
| dc.subject | AABIA | |
| dc.subject | Capacity | |
| dc.subject | DOCT | |
| dc.subject | delay | |
| dc.subject | departure and Arrival rate | |
| dc.title | Airport Runway System Performance Capacity Assessment: The Case Study for Addis Ababa Bole International Airport Runway System | |
| dc.type | Thesis |