Similar Airport Research Articles

The Influence of Different Terrains on the Wind Pressure Distribution of Glass Curtain Wall in Airport Terminals in Mountainous Areas

Aiming the issue of wind pressure distribution characteristics of airport terminal glass curtain walls in mountainous areas, wind tunnel tests have been conducted to investigate glass curtain walls in airport terminals under different terrains (at mountain heights of 0, 30, 60, 90 m [H1, H2, H3, H4] and under surrounding high mountains of 80, 130, 150 m [H5, H6, H7]). Based on experimental data, a comparative analysis was conducted on the effects of different terrains on the mean and pulsating wind pressures, non‐Gaussian characteristics, peak factor, and extreme wind pressure. The results show that the larger values of the mean and pulsating wind pressures under different terrains appear at the corners of the curtain wall edges. Furthermore, the skewness, kurtosis, and wind pressure probability density function values at the corners of the curtain wall edges significantly deviate from the standard Gaussian distribution, exhibiting significant non‐Gaussian characteristics. The majority values of peak factors range from 3.5 to 5.0, far higher than the recommended value of 2.5 in Chinese specification and code (GB 50009‐2012). Moreover, the values of extreme wind pressure under terrains H1, H2, H3, and H4 were greater than that under terrains H5, H6, and H7. At mountain heights H1, H2, H3, and H4, the increasing mountaintop height has a certain increasing effect on the extreme wind pressure. The maximum increase of 96.5% and 82.8% in mountain height H3 and H4 compared to H1. However, the increase in the height of surrounding mountains has a reducing effect on the extreme wind pressure. Research can provide useful suggestions and references for the design, construction, and site selection of terminals in similar airports.

Analysis of airport passenger satisfaction based on combined weight-fuzzy comprehensive evaluation

In order to make passengers' satisfaction with the airport improved again and the airport side to make passengers understand the improvement of the airport in recent years according to the evaluation results, this paper constructs an airport passenger satisfaction evaluation system based on fuzzy comprehensive evaluation by combining weight analysis with AHP-entropy weight method, and describes the specific evaluation process of the model. A case study of Lhasa Gonga Airport is conducted, and the results verify the reliability of the research method and the applicability of the evaluation model. The evaluation results can provide a reference for the passenger satisfaction analysis of this airport and similar airports.

An Approach to Measure the Performance and the Efficiency of Future Airport Infrastructure

The aim of this paper is to design an approach to evaluate the expected efficiency and performance of future airport infrastructure. First, an airport sampling method to select similar airports is developed based on socioeconomic and operational airport variables that are summarized in a proxy variable; second, the ARIMA-GARCH-Bootstrap method is applied to forecast the selected outputs (PAX and ATMS) whilst the selected inputs (Cities, Gates, Runaways, Airport Size, Pax carriers, and Num. of employees) remain constant; and third, the VRS-OO and the CRS-OO DEA models are implemented to evaluate the efficiency and performance of the airports in the current and future years. The proposed approach is used to evaluate the future airport infrastructure of the new Mexico City Airport against 19 representative worldwide airport hubs. The proposed approach is applied to analyze the Mexico City Airport multi-airport system infrastructure as a case study. The results show that this multi-airport system requires more airside infrastructure that must be added by the new Mexico City Airport, airlines should operate aircrafts with more capacity to serve more PAX per ATM, and airlines must open new connections at the new Mexico City Airport to increase the expected efficiency and performance of this multi-airport system.

Forecasting Flight Delays Using Clustered Models Based on Airport Networks

Estimating flight delays is important for airlines, airports, and passengers, as the delays are among major costs in air transportation. Each delay may cause a further propagation of delays. Hence, the delay pattern of an airport and the location of the airport in the network can provide useful information for other airports. We address the problem of forecasting flight delays of an airport, utilizing the network information as well as the delay patterns of similar airports in the network. The proposed “Clustered Airport Modeling” (CAM) approach builds a representative time-series for each group of airports and fits a common model (e.g., REG-ARIMA) for each, using the network based features as regressors. The models are then applied individually to each airport data for predicting the airport's flight delays. We also performed a network based analysis of the airports and identified the Betweenness Centrality (BC) score as an effective feature in forecasting the flight delays. The experiments on flight data over seven years using 305 US airports show that CAM provides accurate forecasts of flight delays.

Alternatives for airport management in Brazil

Purpose This paper aims to answer the following question: Is PPP a financially viable alternative for the management of regional airports in Brazil? Design/methodology/approach The methodology is based on the case study of the innovative model of Zona da Mata Regional Airport management. It was used Value for Money as a method to compare this case with the conventional airport management alternative. Findings It was observed that, when compared to the airport management alternative through contracting third parties, the public–private partnership (PPP) provided a reduction of almost 70% of public spending on the management of this infrastructure. Besides the financial advantage, other benefits of this PPP contract were also observed. Research limitations/implications The analyses carried out in this study are not exhaustive and can be improved and remade as the life cycle of the PPP contract studied is progressed. Practical implications It was concluded, from the results found, that PPP is an efficient alternative for the management of regional airports in Brazil, and the model can be replicated for similar airports. Originality/value When analyzing the results of this innovative project of managing a regional airport through a PPP, this work made it possible to measure the positive impacts of this alternative and demonstrate the potential of the PPP as an alternative for the management of other regional airports in Brazil.

Analysis of airports using clustering methods: case study in Turkey

Purpose- Airports in Turkey can be grouped using by various methods. One of these methods is clustering. In this study, 55 airports operating in Turkey, were analyzed by clustering methods. Methodology- The airports are clustered according to similar features by the K-means method. The number of clusters was determined by using the elbow method. The clusters were verified by Ward's method. While clustering was being carried out, basic features such as passengers using airports, cargo carried by airports, and number of flights were used. Findings- In this study, it has been seen that the airports have been divided into six clusters, two of which have just one element. It is also understood that five major airports(Istanbul Ataturk, Istanbul Sabiha Gokcen, Ankara Esenboga, Izmir Adnan Menderes, Antalya) are quite different from other airports. Conclusion- As a result, in this study, airports were clustered and similar airports were identified and a resource was prepared to assist managers in thinking that the solutions to common problems would be effective at similar airports.

Frameworks for Adaptive Airport Planning and Techniques for a New Era of Planning

Airport planners, in determining the long-term development of an airport's infrastructure, estimate future use of the airport by using two loose categories of methods: ( a) peer group learning and ( b) forecasting. In peer group learning, airport planners compare their airports with like airports and engage in peer-to-peer exchange of information about lessons learned from past experiences and technical and planning guidance. The blend of quantitative and qualitative methodologies can be a powerful tool for airport planners because the planners can validate their forecasts with the actual experiences at similar airports. In the current state of the aviation industry, airport planners must engage in peer group learning because the environment in which they are planning their airports is more volatile than it was previously; however, while forecasting has been well studied by scholars and airport planners, peer group learning has attracted relatively less attention. Given the role of peer group learning in airport planning, airport planners must pay careful attention to how they define their peers in ever-evolving economic and industrial environments. Since deregulation of the airline industry in the 1970s, the airport system has become much more nuanced and is no longer easily defined, while airport planners often resort to single metrics such as enplanements as a peer criterion. This study developed and tested a peer identification methodology that reflects volatilities in the economy and the airport industry by using an expanded list of both static and dynamic metrics. This methodology highlights an important lesson that metrics matter in the ways in which airports identify their peers, benchmark their performance, and help to improve their plans.

Peak hour evaluation - a methodology based on Brazilian airports

This paper aims to establish a new methodology to calculate the design peak-hour passenger based on Brazilian Airport data. First, a cluster analysis using the Ward Hierarchical Method is applied grouping similar airports in terms of annual passenger throughput and EPH (Equivalent Peak-Hour). Then, we proceed with the calculation of the coefficients of variation of the aggregated hourly passenger throughput of the last seven years of the airports in each cluster. We propose the peak-hour for each airport cluster to be determined at the point where the stability of these coefficients is reached. We conclude by estimating a relationship of our proposed design peak-hour passenger as a function of the variables used to determine the clusters.

BUSINESS CASE ELEMENTEM IMPLEMENTACJI PROCEDUR LPV GNSS

The purpose of this document is to develop a Business Case for implementing a new RNAV approach to LNAV and LPV minima for the Mielec aerodrome (EPML). This business case aims to assist the management of small airports such as MIELEC, in their decision to implement RNAV procedures, by providing as much as possible relevant information. The basic methodology can be therefore reused in similar airports as long as the assumptions made for each case are updated. The document is a deliverable of the TEN-T funded programme “Support to the EGNOS APV Operational Implementation – APV MIELEC.

Clustering Days and Hours with Similar Airport Traffic and Weather Conditions

On any given day, constraints in the National Airspace System (for instance, weather) necessitate the implementation of traffic flow management initiatives, such as ground delay programs. The goal of this study is to take a preliminary step toward informing future decision making by applying data-mining techniques to identify similar days in the National Airspace System in terms of the cause and location of historically implemented ground delay programs. In the first part of this study, a modified -means clustering algorithm was applied to all days from 2010 through 2012, resulting in the identification of 45 national-level daily clusters that represent unique combinations of historically implemented ground delay programs. The second part of this study focused on verifying the stated causes of the historical ground delay programs. Findings from this initial study indicated that it is possible to identify similar days under which the National Airspace System operates, and clustering techniques appear to be promising methods for identifying the major causes of ground delay programs.

Analysis of waiting times in the baggage claim area of an airport passenger terminal

The development of level-of-service measures has been a major issue for airport operators worldwide. Research on the quality of airport passenger terminal services is being performed to reduce costs, redirect investment and increase the level of customer satisfaction. The main objective of this research is to develop standard waiting-time measures for luggage in airport baggage claim areas according to user perceptions. The present study applied psychometrical scaling theory using the method of successive categories to provide causal relationships between passenger perceptions and waiting times in baggage claim areas. Finally, the level-of-service standards proposed for Brazilian airports were compared with a similar airport in Canada. The results indicated that Brazilian passengers are slightly more demanding than Canadian passengers and those passengers in Fortaleza are the most demanding of the studied Brazilian airports.

Using Advanced Technologies to Manage Airport Taxicab Operations

Airports play a strategic role in economic development of cities and provide connectivity between business and commercial centers. Taxicab operations play a crucial role in determining the overall efficiency of an airport's ground transportation system. However, airport-specific regulations pose challenges for managing taxicab operations effectively. The adoption of emerging technologies for managing taxicabs at airports offers faster, more efficient, and more cost-effective solutions to meet airport regulatory and operational requirements. In this case study, the operation of a central computerized taxicab dispatch system employed at John. F. Kennedy (JFK) International Airport in New York City is evaluated to identify observed limitations and associated avenues for improvement. Based on a review of state-of-practice taxicab dispatch systems deployed in airports worldwide, this research illustrates how modern technologies and procedural changes can be applied to optimize the taxicab operations at JFK and similar airports.

Airport classification criteria based on passenger characteristics and terminal size

This paper introduces classification criteria for airports that focus on the comparability of passenger terminal facilities. The variables used to define the criteria include terminal size in terms of number of gates, passenger characteristics in terms of international/domestic passenger volumes and transfer passenger volume. The study utilizes passenger data collected from the T-100 and airport origin/destination-survey databases of the US Bureau of Transportation Statistics. Cluster analysis is used as the technique to identify similar airport groups using passenger volumes as multiple variables. Finally, a set of criteria is defined, to differentiate airports based on the variables used.

Climatic similarity and biological exchange in the worldwide airline transportation network

Recent increases in the rates of biological invasion and spread of infectious diseases have been linked to the continued expansion of the worldwide airline transportation network (WAN). Here, the global structure of the WAN is analysed in terms of climatic similarity to illuminate the risk of deliberate or accidental movements of climatically sensitive organisms around the world. From over 44 000 flight routes, we show, for each month of an average year, (i) those scheduled routes that link the most spatially distant but climatically similar airports, (ii) the climatically best-connected airports, and (iii) clusters of airports with similar climatic features. The way in which traffic volumes alter these findings is also examined. Climatic similarity across the WAN is skewed (most geographically close airports are climatically similar) but heavy-tailed (there are considerable numbers of geographically distant but climatically similar airports), with climate similarity highest in the June–August period, matching the annual peak in air traffic. Climatically matched, geographically distant airports form subnetworks within the WAN that change throughout the year. Further, the incorporation of passenger and freight traffic data highlight at greater risk of invasion those airports that are climatically well connected by numerous high capacity routes.

Strategic optimisation of airport passenger terminal buildings

Airport design has improved significantly in the last 20 years. Design has moved from simple protection from the elements to almost full automation. Many older airport facilities are now outdated and require replacement. The decision to replace must be made based upon benchmarking with similar airport facilities. Summarises the current position with airport design and suggests that efficient use of facilities cannot depend upon shareholder return alone but must be based on national interest and efficiency demonstrated through external benchmarking. Suggests that facilities managers must be aware of the expectations of the airlines and passengers and the indicators used in the assessment of performance. Outlines the reasons that influence an airport’s decision to upgrade or replace its terminal facilities.

Feasibility Design of a Floating Airport and Estimation of Environmental Forces on it

Kansai international airport was newly constructed and opened in 1994 at the site of offshore in Osaka bay. This airport was built on the newly reclaimed land. Although similar airport concepts are recently discussed in Japan, yet newly reclaimed land in the deeper sea is very difficult from the points of view of necessity of huge volume of sand for land filling, long period for construction and environmental impacts.On the contrary, concepts of a floating land for the airport are recently discussed again. These concepts were discussed more than a decade ago, even though that was not realized because of no experience of the construction of such huge floating body for the mankind before. After these concepts were proposed, huge floating oil storage bases with million ton capacities were realized in Japan. Therefore, a floating airport should be discussed more and deeper to realize it.The authors wish to show one of the concept designs of floating airport and to discuss the estimates of the environmental forces.

Feasibility Design of a Floating Airport and Investigation into its Effects on the Environment

Kansai international airport was newly constructed and opened off Senshu city in the bay of Osaka. This airport was built on an artificial island newly reclaimed from the sea. Although other similar airport projects are also being discussed in Japan, application of reclamation system in the deeper sea is very difficult to realize because of the necessity of the massive sand for the filling of the land. Long period of construction and environmental impacts are also obvious defects of this system.On the contrary, an airport with floating system clearly has advantages in some points. Especially, it is considered to give less damage to the environment than reclaimed one.The authors wish to show numerical simulations by means of multi-level model to discuss the effects of artificial islands on ocean current. The boundary conditions of floating islands for numerical model are newly treated in this paper. By means of the multilevel model, differences of current pattern around floating and reclaimed islands are discussed in cases of simplified rectangular bay, Osaka Bay, and Tokyo Bay. It is clarified that a floating airport changes the current pattern less than reclaimed one.