Modelling Regional Airport Terminal Capacity

Nõmmik, Allan; Antov, Dago

doi:10.1016/j.proeng.2017.01.083

Cited by 13 publications

(10 citation statements)

References 7 publications

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“…The peak load survey conducted by IATA in 1981 resulted in the establishment of standard definitions for assessing LoS and airport capacity [27]. To set passenger terminal system, but various researchers are using different models to solve this problem [26,[32][33][34][35][36][37].…”

Section: Establishment Of Level Of Service (Iata Los)mentioning

confidence: 99%

Overview of the Influence of Level of Service on the Airport Passenger Terminal Capacity

Pivac

Štimac

Vidović

et al. 2022

PROMTT

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Establishing the desired quality of service (QoS) of the airport passenger terminal in order to improve operational performance is a challenge for every airport. Recent international research indicates a gradual recovery in air transport and, accordingly, the need to develop additional transport infrastructure. If the passenger terminal design in terms of infrastructure and operational capacity is not approached correctly, the level of service provided to passengers may decline. This research will focus on how the IATA Level of Service (LoS), which is provided to airport users can contribute to the optimisation of the level of service of the passenger terminal. Additionally, the impact of level of service on passenger terminal capacity assessment in relation to the diversity of air carrier business model will be analysed. Since there is no common link to uniformly describe and solve this problem, this paper will review the relevant literature in the field of passenger terminal capacity research and will analyse different approaches to solving this problem with the aim to develop a new unified concept in observing and optimising the capacity of the airport passenger terminal taking into account the types of air carrier business models.

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Section: Establishment Of Level Of Service (Iata Los)mentioning

confidence: 99%

Overview of the Influence of Level of Service on the Airport Passenger Terminal Capacity

Pivac

Štimac

Vidović

et al. 2022

PROMTT

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“…Applied research (Nõmmik and Antov, 2017) shows the possibilities of modelling a regional airport by focusing on the departing passengers' behavior and the airport terminal bottlenecks capacity. Also, it is possible to optimize apron capacity (Mircovic and Tosic, 2017), once it has been decided, which aircraft types and how are going to use the airport.…”

Section: Regional Airports' Efficiencymentioning

confidence: 99%

European Regional Airport: Factors Influencing Efficency

Nõmmik

Antov

2020

Transport and Telecommunication Journal

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AbstractDuring the recent decade a lot of research has been focused on identification of the importance of regional airport for the local economy and the measuring and predicting of the airport’s efficiency. With regard to individual airport planning it turns out that airports are not free in the optimization of infrastructure due the need to comply international aviation standards and recommended practices, one the one hand, and the tendency of air transportation system development including aircraft design and airlines’ fleet development, on the other. Furthermore, it is also important to take into account the specificity of each particular airport, including the traffic variability resulting from seasonality, with the airport’s mission geared to it. We found, tha t one of the reasons for the relatively low efficiency of regional airports, given the general trend in the growth in the number of seats for narrow-body aircraft. Likewise, it has been found, that the seasonality of air traffic at regional airports is comparatively high. In addition, this paper spotlights the ways the theoretical model of returns to scale affects the efficiency of the apron of the regional airport and briefly discusses the different interpretations of the definition of regional airport.

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“…A multistage stochastic programming model was developed to provide optimal capacity requirements for each area in an airport terminal. 11 Other models were also employed to analyze and optimize the capacity of regional airport terminals to provide services at a reasonable level, 12 to evaluate the number of check-in desks and security control checkpoints to minimize cost, 13 and to analyze people flows within an airport terminal under different application scenarios. 14 Fonseca et al 15 described a conceptual model, which represented in detail, among many other elements, passengers flows in different areas of the complex facilities in order to assist the initial design process of an airport and allowed the dynamic optimization of the terminal management during operation.…”

Section: Introductionmentioning

confidence: 99%

A spatiotemporal passenger distribution model for airport terminal energy simulation

Xie

Huang

et al. 2022

Indoor and Built Environment

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Airport terminals provide a safe, convenient and comfortable environment for passengers. Over 50% of energy in terminals was consumed by the HVAC system. The number of passengers and their constant flow distribution in the airport is an important consideration from the operational perspective to influence the energy consumption. This paper proposed a spatiotemporal passenger distribution model. In this model, a terminal was divided into 13 different zones along the departure or arrival process, and the passenger variation for each day was described for each zone. Over a year, 12 monthly average passenger flow values were adopted instead of the peak hour passenger flow to represent the yearly passenger flow distribution. The model was validated by the operation data of the Nanning Airport and compared the data against the validated people movement model of passengers’ flow profile in each zone and occupant densities. The model was then input into an energy simulation software to verify the impact of the passenger flow on energy consumption. Based on the spatiotemporal passenger distribution model, the annual cooling consumption could be reduced by 17.14% compared to results based on the traditional passenger flow calculation method which has a simple assumption of daily constant passenger flow.

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Modelling Regional Airport Terminal Capacity

Cited by 13 publications

References 7 publications

Overview of the Influence of Level of Service on the Airport Passenger Terminal Capacity

Overview of the Influence of Level of Service on the Airport Passenger Terminal Capacity

European Regional Airport: Factors Influencing Efficency

A spatiotemporal passenger distribution model for airport terminal energy simulation

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