A Generic Framework for Modeling Airport Operations At A Macroscopic Level

Scala, Paolo; Mujica, Miguel; Delahaye, Daniel; Ma, Ji

doi:10.1109/wsc40007.2019.9004865

Cited by 2 publications

(2 citation statements)

References 17 publications

(10 reference statements)

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“…Europe and North America are home to the greatest number of MAS [27], with 25 and 18, respectively [28]. Asia-Pacific has eight (eight) systems, while Latin America and the Middle East each have five (five) systems [29].…”

Section: Table 1 Service Radius and Travel Timementioning

confidence: 99%

Multi-Airport System Development Model: Case Study of Airports in Indonesia

Adisasmita

Caroles

2022

Civ Eng J

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Indonesia's air transportation business has grown substantially to suit the community's transportation needs. An increasing number of people travel by airline each year. By way of secondary and tertiary multiplier effects, the intensifying competition between airport services provided in neighboring regions is likely to have a multiplier influence on a territory. Simultaneously, airport services that are more competitive are focused on areas with rising economic growth in sectors like tourism. MAS is an airport system consisting of at least two airports within a metropolitan area that support civil aviation. MAS includes both big and small airports. MAS is the development of an air transportation system to suit the growing demand for air transportation services. As an example of an integrated multi-model airport design in Indonesia, this research will examine Juanda International Airport, Surabaya, as the major airport and Abdul Rachman Saleh Airport as the secondary airport. In order to establish an integrated multi-modal airport in Indonesia, it is necessary to adopt a multi-airport system. This study's airport location is in East Java Province and includes two airports: Juanda International Airport and Abdul Rachman Saleh Airport. The Juanda International Airport is situated in Sedati, Sidoarjo, whilst the Abdul Rachman Saleh Airport is in Pakis, Malang Regency. Using modelling findings and final passenger statistics, airport capacity in 2045 is determined. The results demonstrated the necessity for more comprehensive points in the MADAM simulation used in this research study, which can estimate a number of crucial parameters. Doi: 10.28991/CEJ-SP2021-07-013 Full Text: PDF

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Section: Table 1 Service Radius and Travel Timementioning

confidence: 99%

Multi-Airport System Development Model: Case Study of Airports in Indonesia

Adisasmita

Caroles

2022

Civ Eng J

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“…The scheme is based on a combination of ad-hoc heuristics with an agent-based simulation model (Tomasella et al 2019). A general approach for modelling airport operations was presented by Scala et al (2019). The distinguishing feature of the proposed approach is that the resolution level for the different elements is similar.…”

Section: Related Workmentioning

confidence: 99%

Simulation as a Decision Support Tool for Airport Planning: Riga International Airport Case Study

et al. 2022

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This research considers the aspects of decision-making according to the airport activities. The decision about airport planning and management should be comprehensive and operative and of course, the assessment of alternative decisions is necessary. The purpose of this research is to highlight the role of simulation modelling at the stage of airport development. The authors present the methodology of a model-driven decision-making approach and then describe 2 cases of using simulation for Riga International Airport (RIX) development. The 1st case study is used for analysis possibility of the development of the airport’s surrounding territory. The planned massive development of RIX and the surrounding area requires detailed analysis for increasing its positive impact on regional and national business economics, social aspects, business and the environment. The 2nd case supports decision-making for the needs of the terminal reconstruction, presents a helpful tool for visualization of the tendencies in the future, and allows the analysis of the different infrastructure layouts. Both cases give the possibility to predict the situation and evaluate the service provided for passengers (travellers) of the airport. Simulation modelling allows to study complex system – airport and evaluate direct and indirect impacts of planned reconstruction.

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A Generic Framework for Modeling Airport Operations At A Macroscopic Level

Cited by 2 publications

References 17 publications

Multi-Airport System Development Model: Case Study of Airports in Indonesia

Multi-Airport System Development Model: Case Study of Airports in Indonesia

Simulation as a Decision Support Tool for Airport Planning: Riga International Airport Case Study

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