scholarly journals Kajian Kausalitas Permintaan Trafik Terhadap Kapasitas Bandara Berdasarkan Persepsi Pengelola Bandara (Studi Kasus: Bandara Internasional Soekarno-Hatta)

WARTA ARDHIA ◽  
2017 ◽  
Vol 41 (1) ◽  
pp. 11
Author(s):  
Fadrinsyah Anwar
Keyword(s):  
Air Traffic ◽  
Traffic Demand ◽  
Probabilistic Causality ◽  
International Airport ◽  
Probabilistic Network ◽  
Airport Capacity ◽  
The Relationship

Traffic demand is an important factor in planning the airport capacity and facility. Forecasting future traffic demand becomes a necessity in determining the amount of capacity or dimension of airport facilities. There are factors that have to be considered in predicting the traffic demand. This study aimed to examine the relationship between the demand for air traffic and the airport capacity, and discuss the relationship between the variables that affect traffic demand and the variables that affect the increase in the capacity of the airport. This study uses probabilistic causality approach. The results of case study in Soekarno-Hatta International Airport show that, in general, the increase in the probability of the traffic demand variables can affect the increase in the probability of airport capacity variables. The probability value of the airport capacity variables which significantly increased are runway, apron and curbside. Keywords: Demand, airport capasity, causality, probabilistic network. Permintaan trafik merupakan faktor penting dalam merencanakan kebutuhan kapasitas dan fasilitas di bandara. Peramalan permintaan trafik di masa yang akan datang menjadi suatu kebutuhan dalam menentukan besaran atau dimensi fasilitas bandara. Banyak faktor yang perlu dipertimbangkan dalam memprediksi permintaan trafik. Penelitian ini bertujuan untuk mengkaji hubungan antara permintaan trafik angkutan udara dengan kapasitas bandara, dan membahas hubungan antara variabel-variabel yang mempengaruhi permintaan trafik dan variabel-variabel yang mempengaruhi peningkatan kapasitas bandara. Penelitian ini menggunakan pendekatan kausalitas probabilistik. Hasil analisis pada studi kasus Bandara Soekarno-Hatta, diperoleh bahwa secara umum peningkatan probabilitas pada variabel permintaan trafik dapat mempengaruhi peningkatan probabilitas pada variabel kapasitas bandara. Nilai probabilitas variabel kapasitas yang meningkat secara signifikan adalah landas pacu, apron dan curbside. Kata kunci: Permintaan, kapasitas bandara, kausalitas, jaringan probabilistik.

Airside Capacity Utilization in a Nigerian Airport: A Case Study of Murtala Muhammed International Airport

2019 ◽  
Vol 5 (3) ◽  
pp. 1-8
Author(s):  
Stephens, M. S ◽  
Ayo Agunbiade O.T
Keyword(s):  
Traffic Flow ◽  
Capacity Utilization ◽  
Daily Basis ◽  
Traffic Intensity ◽  
Traffic Demand ◽  
International Airport ◽  
Airport Capacity ◽  
Queue Theory ◽  
Installed Capacity

Airport Capacity generally refers to the ability of an airport to handle a given volume of traffic (demand) and should be assess to ensure they are adequate for lay down Standards. This study was based on the assessment of Airside Capacity Utilization at an International Airport; the Runway is the focus of this study. Capacities are very important and this dictates the level of patronage made by airlines at the Airport. Murtala Mohammed International Airport (MMIA) as a case study was examined; the domestic and international traffic flow well assessed on a daily basis, over a period of sixteen (16) years, to determine the traffic intensity of the airport was obtained from Federal Aviation Authority of Nigeria (FAAN) and Nigerian Airspace Management Agencies (NAMA). This experimental research involved the estimation of the traffic flow, installed capacity of the Runway, the intensity of traffic on hourly, daily, monthly bases. The model adopted for the research was Queue Theory. Findings show that the domestic wing generates more traffic flow than international wing of the Runway. The through put at the Runways shows that the runway is adequately utilized to accommodate existing traffic, expansion in the form of construction will not be necessary.  

scholarly journals Airspace Capacity Assessment with Augmented Cell Transmission Model

2021 ◽  
Author(s):  
Wei Gao ◽  
Man Liang
Keyword(s):  
Air Traffic ◽  
Mixed Integer ◽  
Transmission Model ◽  
Capacity Assessment ◽  
Fast Time ◽  
Cell Transmission Model ◽  
Traffic Demand ◽  
Airport Capacity ◽  
Cell Transmission ◽  
The Impact

Air traffic congestion is caused by the unbalance between increasing traffic demand and saturating capacity. Flight delay not only causes huge economical lost, but also has very negative environmental impact in the whole air transportation system. In order to identify the impact of extended TMA on airport capacity, an airspace capacity assessment method based on augmented cell transmission model was proposed. Firstly, the airspace structure was modeled with points, segments, layers, and cells. Secondly, mixed integer linear programming model was built up with maximum throughput or capacity as the objective function. Finally, genetic algorithm was used to find the optimal result, and the results were validated by comparing with the fast-time simulation results generated by total airspace and airport modeler (TAAM) software. It is found that the proposed method could achieve a relatively accurate result in a much affordable and fast way. The numerical results could be very helpful for air traffic controllers to analyze the dynamic traffic flow entering and exiting TMA, so as to make decisions via reasonable analysis and do planning in advance by referring to the airport capacity.

Effects of Air Traffic Congestion Delays under Several Flow-Management Policies

1996 ◽  
Vol 1517 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Gregory D. Glockner
Keyword(s):  
Optimization Model ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Air Traffic ◽  
Practical Implementation ◽  
Model Framework ◽  
Flow Management ◽  
Traffic Demand ◽  
Airport Capacity ◽  
Facility Construction

Air traffic delays occur when demand for airports or airspace exceeds available capacity. Consequently, these delay effects can be lessened by increasing capacity or by modifying the air traffic demand. Increasing capacity is an important solution, but it is a long-range option involving major changes such as facility construction, fundamental procedural changes, and improvements in navigational equipment. For short-term decision making a tactical-optimization model can suggest alternative flight plans to reduce delays. However, a tactical-optimization model is extremely complex because of the uncertainty in airport-capacity forecasts, which primarily depend on weather. A practical implementation of a tactical-optimization model must therefore make approximations so that a solution may be computed quickly and be of good quality. A practical model framework for the congestion-delay problem is given; this model framework is a generalization of several other flow-management models. Congested situations are simulated, to compare the practical performance of this model to other air traffic management tactics.

SPATIAL PATTERNS OF ECONOMIC RENTS: DEVELOPING SUVARNABHUMI INTERNATIONAL AIRPORT, THAILAND

2016 ◽  
Vol 11 (03) ◽  
pp. 1650014
Author(s):  
CHAKARIN BEJRANANDA ◽  
YUK LEE ◽  
THANCHANOK BEJRANANDA
Keyword(s):  
Land Use ◽  
Air Transportation ◽  
Land Values ◽  
Urban Structure ◽  
Land Value ◽  
Land Uses ◽  
International Airport ◽  
The Relationship

With the rise of the importance of air transportation in the 21st century, the role of economics in airport planning and decision-making has become crucial to the urban structure and land values. This paper examines the relationship between an airport and its impact on the distribution of urban land uses and land values by applying the Alonso’s bid-rent model. Using Suvarnabhumi International Airport as a case study, the analysis was made over three different time periods of airport development. The statistical results confirm that: (i) Alonso’s model can be used to explain the impacts of the airport only for the northeast quadrant of the airport; (ii) proximity to the airport shows an inverse relationship with the land value of all six types of land use activities through three periods of time; and (iii) the land value for commercial land use is the most sensitive to the location of the airport compared to other types of land use activities.

Pengaruh Kepadatan Lalu Lintas Penerbangan Pada Saat Taxi-Out Terhadap Konsumsi Bahan Bakar Pesawat Udara (Studi Kasus: Bandar Udara Internasional Soekarno Hatta)

WARTA ARDHIA ◽  
2014 ◽  
Vol 40 (4) ◽  
pp. 215-222
Author(s):  
Minda Mora
Keyword(s):  
Fuel Consumption ◽  
Traffic Congestion ◽  
Air Traffic ◽  
International Airport ◽  
Aircraft Fuel

Dalam satu fase penerbangan dari bandar udara asal menuju bandar udara tujuan, pesawat udara akan mengalami beberapa fase terbang, salah satunya adalah fase taxi-out. Fase ini memberikan kontribusi yang cukup signifikan terhadap konsumsi bahan bakar pesawat udara, terutama ketika terjadi kepadatan lalu lintas pesawat udara karena waktu yang dibutuhkan pesawat udara untuk taxi-out menjadi lebih lama dari yang seharusnya. Penelitian ini bertujuan untuk menganalisis pengaruh kepadatan lalu lintas pesawat udara terhadap waktu taxi-out dan konsumsi bahan bakar di Bandar Udara Soekarno Hatta-Jakarta. Hasil perhitungan menunjukkan rata-rata 30% dari total jumlah penerbangan pada bulan Juli, Agustus dan September tahun 2014 mengalami keterlambatan keberangkatan karena terjadinya kepadatan lalu lintas pesawat udara pada saat taxi-out. Hal ini mengakibatkan kelebihan konsumsi bahan bakar pesawat udara sebesar 29% dibandingkan apabila pesawat udara dapat melakukan taxi-out dalam keadaan tanpa hambatan. [The Effect of Air Traffic Congestion on Taxi-out Time and Aircraft Fuel Consumption (Case Study: Soekarno-Hatta International Airport)] In a single flight, from the origin airport to the destination airport, the aircraft experiences several different flight phases, one of which is taxi-out phase. This taxi-out phase contributes significantly to aircraft fuel consumption particularly when air traffic congestion occurred due to the time needed in taxiing become much more longer than it should be. The aim of this research is to analyze the effect of air traffic congestion on taxi-out time and aircraft fuel consumption at Soekarno-Hatta International Airport. The results show that the average of 30% of the total number of flight in July, August, and September 2014 has been delayed due to air traffic congestion on taxi-out phase and it caused an increase of 29% on aircraft fuel consumption compared to uncongested taxi-out.

scholarly journals Queuing analysis using Viswalk for check-in counter: Case study of Lombok Praya International Airport

2018 ◽  
Vol 181 ◽  
pp. 02006
Author(s):  
Sony Sulaksono Wibowo ◽  
Siti Raudhatul Fadilah
Keyword(s):  
Service Time ◽  
Demand Forecasting ◽  
Optimal Number ◽  
Queuing System ◽  
Time Data ◽  
Traffic Demand ◽  
Queuing Analysis ◽  
International Airport ◽  
Airport Terminal

Queuing analysis on check-in counter in airport is required to accommodate the passenger processing facilities, such as check-in service. The purpose of this paper is to evaluate the performance of a queuing system at check-in facilities in 2nd passenger terminal Lombok Praya International Airport in 2016 and 2036. This analysis is done by determining parameters of the queues at every check-in counter through simulations on Viswalk. Before running the simulation, the model of airport terminal must be created first. Queuing simulation starts with the traffic demand forecasting of domestic departure passenger for the next 20 years. To determine the optimal number of check-in counters, an iteration of various number is performed. Check-in services time data were adopted from previous study which became an input of the simulation using two different scenarios. The expected output are the queuing parameter and the distribution of passenger service time at each check-in counter.

scholarly journals Investigating the Effects of Airport Servicescape on Airport Users’ Behavioral Intentions: A Case Study of Incheon International Airport Terminal 2 (T2)

2019 ◽  
Vol 11 (15) ◽  
pp. 4171 ◽  
Author(s):  
Jin-Woo Park ◽  
Young Kyung Ryu
Keyword(s):  
Gender Differences ◽  
Structural Equation Modeling ◽  
Behavioral Intentions ◽  
Structural Equation ◽  
Moderating Effect ◽  
Equation Modeling ◽  
International Airport ◽  
Airport Terminal ◽  
The Relationship

The purpose of this study is to analyze the effects of physical and social servicescapes on cognitive and affective satisfaction, as well as airport image, with gender as a moderating effect between variables. A total of 283 airport users were surveyed, and structural equation modeling was used to investigate the relationships between variables. The results showed that only physical servicescape had a significant effect on cognitive and affective satisfaction, and affective satisfaction had a significant effect on airport image. In addition, the gender differences indicated a significant effect between the physical servicescape and cognitive satisfaction. This study is distinct in that it is the first attempt to verify the relationship between airport physical servicescape, social servicescape, airport users’ cognitive and affective satisfaction, and airport image on gender differences.

scholarly journals Zagreb Terminal Airspace Capacity Analysis

2012 ◽  
Vol 23 (5) ◽  
pp. 367-375 ◽  
Author(s):  
Biljana Juričić ◽  
Ružica Škurla Babić ◽  
Ivana Francetić
Keyword(s):  
Key Words ◽  
Traffic Congestion ◽  
New Technologies ◽  
Air Traffic ◽  
Capacity Analysis ◽  
Traffic Demand ◽  
Basic Scenario ◽  
Air Traffic Controllers ◽  
Traffic Loads

The paper deals with the Zagreb Terminal Airspace capacity. The basic scenario has been modelled using the RAMSPlus simulator and capacity has been calculated by using the WMSE method which takes into account the peak-hour workload based on air traffic controllers’ tasks. The problem of traffic congestion has been analyzed and several case study scenarios have been simulated. The conducted simulations have demonstrated that in the conditions of increased traffic loads (traffic demand amounting to 6% annually) the working technology and the airspace organization of Zagreb Terminal Airspace will become a restricting factor at peak-hour workloads. The new technologies in Zagreb Terminal Airspace (P-RNAV routes and airspace sectorization) will enable the reduction in air-traffic controller’s workload regarding radar vectoring, radio-telephony and coordination tasks. This should increase the airspace capacity and thus enhance the safety and orderly flow of air traffic. KEY WORDS: terminal airspace, capacity, simulation, workload, task, sectorization

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