A fuzzy assessment method to airport waste management: A case study of Congonhas Airport,Brazil

This study presents a fuzzy mathematical model to support and evaluate airport waste management. The model generates a waste management index, composed of three dimensions, and it was applied in a case study of Congonhas Airport, located in Brazil. In addition to the mathematical model, the nonparametric Mann-Kendall test was applied to verify the existence of bias in the obtained results. The results showed that there is a concern on the part of the airport regarding waste management, reflected in the Fuzzy Waste Management Index (FWMI) results. They also indicated that there was an improvement in waste management in 2015 compared to 2014, resulting from increased accounting for recyclables and awareness of the airport community. The developed model proved to be an important tool to support the decision making of airport managers, including aspects related to waste management steps, and there may be adjustments that may be made to include new indicators.     

Effects of non-aeronautical activities at airports on the public transport access system: A case study of Zurich Airport

Many planning authorities and airports study measures to increase public transport use for airport ground access and egress. At the same time, an increase in real estate development at and around airports is occurring, both due to airports seeking new revenue possibilities and other developers attempting to profit from high value locations. This paper considers non-aeronautical activities at large airports, largely commercial centres and transit hubs, as land uses that have the potential to improve the situation for operating public transport services. In order to assess potential benefits and disadvantages, four research questions are considered: (1) Can the additional travel volume reach levels at which it has a significant impact? (2) To what extent do non-aeronautical activities influence the public transport access system? (3) Is the resulting demand distribution better or worse regarding peaking behaviour? (4) Is there a potential for the resulting overall demand to bring about capacity shortages?A case study is conducted at the airport of Zurich, Switzerland, which finds that non-aeronautical activities in the direct airport vicinity have led to a situation where the operation of public transport services is much more viable due to overall higher passenger numbers and a more even distribution throughout the day. It is concluded that locating non-aeronautical activities at airports can, in addition to providing commercial benefits to developers, lead to a situation where improved public transport services become feasible.     

Efficiency drivers of international airports: A worldwide benchmarking study

The main purpose of these work was to identify operational efficiency drivers of international airports. In order to achieve this, a two-step quantitative-qualitative research approach was conducted. In the first step, a two-stage DEA model was used, and it was possible to identify, within a sample of the 60 biggest airports from the six Airport Council International (ACI) regions, the most efficient airports of the world: Beijing International Airport, Heathrow International Airport, Dubai International Airport, and Hartsfield-Jackson Atlanta International Airport. In the second step of the research, four airports were selected in order to search for the efficiency drivers. In this context, Heathrow International Airport was considered to be a benchmark and presented most of the identified efficiency drivers (27 of 31). Standing out were Just-in-Time (JIT) and Total Quality Management (TQM) principles and also Passenger boarding optimization, besides the presence of almost all of the most relevant efficiency drivers, according to airport managers.     

Assessment of land use compatibility and noise pollution at Imam Khomeini International Airport

This study aimed to investigate land use planning around airports, by employing Remote Sensing (RS) and Geographic Information Systems (GIS), in conjunction with an optimization algorithm using an Integrated Noise Model (INM) software, to establish the potential effects of aircraft noise at Imam Khomeini International Airport (IKIA) in Tehran. We also checked for land use compatibility with the noise levels around IKIA and the residents' reaction to the noise. The research was carried out in three stages: a) the establishment of Strategic Noise Map (SNM) scenarios of the airport operation in the years 2011, 2020 and 2030 using the INM software; b) the assessment of the results with emphasis on the study area land uses and application of RS and GIS and the exposure of residents at different levels of environmental noise; and c) the assessment of the intensity of aircraft noise annoyance at various times of day and night. The results indicated that developing IKIA together with the residential development will increase airport noise. Hence proper management and control of noise at IKIA is essential.     

Questioning airport expansion—A case study of Canberra International Airport

World air traffic is expected to grow substantially in the next decade and beyond. Associated with this are accelerated programs to build new airports and expand existing ones. However, aviation futures are increasingly contested globally on ecological and resource grounds, and in relation to the quality of life of affected local communities, and to growing fears associated with terrorism, wars and civil unrest. This case study addresses the issues arising from the privatisation and expansion of Canberra International Airport in Australia. Aircraft noise is a major concern for community groups, and land use planning also emerged as a key issue in a highly publicised conflict between a land developer and Canberra airport management. An important outcome is the recognition of the need for independent policy institutes—working in conjunction with community groups—to challenge the prevailing hegemony of the business-political nexus.     

Sustainable airport development with performance evaluation forecasts: A case study of 12 Asian airports

This study evaluates airport performance from 2014 to 2021 with actual and forecasted data to help plan airport sustainability and establish sustainable airport development strategies. Eight Chinese airports (PEK, PVG, CAN, SZX, SHA, XMN, HAK, and HKG) and four representative Asian airports (HND, ICN, SIN, and DEL) are studied. Airport performance is evaluated from the process level (i.e. operational processes providing aeronautical service and financial processes providing commercial service) to the airport level using the Network DEA with actual and forecasted data from the grey model. Results indicate that HKG has been and will be efficient for the entire study period. There is an observed trend of an overall efficiency decrease during the forecast period of 2018–2021. This study classifies operationally efficient airports (PEK, HND, and XMN) and financially efficient airports (HAK, ICN, and DEL). Mainland Chinese airports show significantly higher operational efficiency than financial efficiency, and lower rankings in overall efficiency. It is expected that mainland Chinese airports will soon develop beyond the transportation center, possibly towards the aerotropolis, balancing economic, social, and environmental aspects for sustainable development. This study helps airport management to evaluate sustainable development strategies by assessing current and near future conditions affecting sustainability.     

Impact of a sustainable brand on improving business performance of airport enterprises: The case of Incheon International Airport

This research attempted to help understand brand management from a new perspective suited to the digital age. The purpose of this research is to empirically analyze direct and indirect influences on the relationships between sustainable brands and the enhancement of airport business performance by examining the relationships between social media, transparency, social responsibility, sustainable brand and airport business performance. For this testing, 304 questionnaires were collected from employees of Incheon International Airport. Results of the testing indicated that social media, transparency, and social responsibility had a significant influence on airport business performance through a sustainable brand. It was found that the mediation effect of a sustainable brand was significant as well. Results of this research are meaningful in that they provide implications and insights for enterprise brand management in the digital environment.     

Analyzing air cargo flows of international routes: an empirical study of Taiwan Taoyuan International Airport

Air cargo demand is an important aspect of the operation and planning of private and public agencies responsible for airports. While most existing studies in this field include only geo-economic characteristics of airports and their hinterlands as explanatory variables, this study develops a gravity model of air cargo flows by trying to incorporate more factors that might influence international air cargo flows of an airport. The model is developed based on the panel data of air cargo services on scheduled routes at Taiwan Taoyuan International Airport during the years 2004-2007. The results indicate that population, air freight rate and three dummy variables, including the regional economic bloc of the “Chinese Circle”(an informal partnership between Hong Kong, Macao, Taiwan and mainland China), the Open Sky Agreements and long established colonial links, are key determinants of international air cargo flows from/to Taiwan. These results suggest a wider array of factors needs to be considered in policy.     

Mode choice behavior modeling of ground access to airports: A case study in Istanbul,Turkey

The increase in air transportation mode share, thereby the passenger traffic at airports has made the ground access to the airports more important in recent years. The aim of this study is to analyze the ground access mode choice to airports by using Multinomial Logit (MNL). In particular, our focus is on how transit areas of influence affect the mode choice for travelling to airports. Atatürk International Airport (IST) in Istanbul, Turkey was selected for the analyses and the investigated modes to access IST were automobile, drop-off, public transit, and taxi. The results showed that significant factors and variables included the trip distance to access IST, type of destination, trip cost to IST, automobile ownership status, employment status, travelling group size, location of the trip origin with respect to public transit influence, and time difference between the flight time and departure time to IST. It is also concluded that if the trip origin to IST was inside the influence areas of public transit, then public transit would be more likely to be chosen over other modes for accessing IST.     

Exploring characteristics of passengers using traditional and low-cost airlines: A case study of Belgrade Airport

Low cost carriers entered the Serbian air travel market after Serbia joined the European Common Aviation Area (ECAA) in 2006, prompting the development of healthy competition among airlines and resulting in significant traffic increase at Belgrade Airport. The aim of this paper is to examine the characteristics of passengers traveling on low-cost carriers (LCC) in comparison with those traveling on traditional airlines by using cluster analysis, and to provide practical implications to airport management in tailoring their strategies to meet growing demand. A comprehensive passenger survey was recently conducted at Belgrade Airport on the routes where competition between traditional and LCC carrier exists. The results reveal that emigrants, primarily encouraged by favorable fares, constitute a substantial portion of LCC passengers. Affordable service offered by LCC has also been a positive stimulus for emigrants, who purchase tickets for their friends and relatives to visit them in their host countries. On the other hand, passengers using traditional airlines could be generally classified into two segments, those who fly on business and those who fly for leisure purposes, and each had specific needs when choosing their airline.     

An evaluation of departure throughputs before and after the implementation of wake vortex recategorization at Atlanta Hartsfield/Jackson International Airport: A Markov regime-switching approach

This paper utilizes a Markov regime-switching model to decompose airport departures into two regimes and to investigate the change in departure throughputs before and after implementing wake recat at ATL. Although analysts may not always know with certainty which regime prevails and how long it may last, they can compute the transition probabilities and expected duration of each regime. After the implementation, there was a 91% chance that departure throughputs would remain unconstrained (up from 86% before implementation) and a 37% chance that departure throughputs would become constrained (up from 35% before implementation).     

Impacts of COVID-19 on aircraft usage and fuel consumption: A case study on four Chinese international airports

COVID-19 pandemic starting in early 2020 has greatly impacted human and industrial activities. Air transport in China shrank abruptly in February 2020, following a year-long gradual recovery. The airline companies reacted to this unprecedented event by dramatically reducing the flight volume and rearranging the aircraft types. As the first major economy that successfully controls the spread of COVID-19, China can provide a unique opportunity to quantify the medium-long impacts on the air transport industry. To quantify the corresponding changes and to elucidate the effects of COVID-19 in the wake of two major outbreaks centered in Wuhan and Beijing, we analyze twelve flight routes formed by four selected airports, using the Automatic Dependent Surveillance-Broadcast (ADS-B) data in 2019 and 2020. Our results show that the total flight volume in 2020 reduced to 67.8% of 2019 in China. The recovering time of flight volume was about 2–6 months, dependent on the severity. In order to unwind the severe challenge, airlines mainly relied on aircraft B738 and A321 between February and June in 2020 because the fuel consumption per seat of these two aircraft types is the lowest. Besides, fuel consumption and aircraft emissions are calculated according to the Base of Aircraft Data (BADA) and the International Civil Aviation Organization's Engine Emissions Databank (ICAO's EEDB). At the end of 2020, the ratios of daily fuel consumption and aircraft emissions of 2020 to 2019 rebounded to about 0.875, suggesting the domestic commercial flights were nearly fully recovered. Our results may provide practical guidance and meaningful expectation for commercial aircraft management for other countries.     

Potential performance of urban land use and transport strategies in reducing greenhouse gas emissions: Khon Kaen case study,Thailand

ABSTRACT

Transport activities are a key contributor to greenhouse gas (GHG) emissions, global warming, and climate change. In Thailand, private cars are the second largest generator (after trucks) of GHG emissions from the transport sector. This article presents an analysis and evaluation of the implementation of land use and transport measures for reducing GHG emissions in the road network of the Khon Kaen University (KKU) area in Khon Kaen, Thailand. This research applied a bottom-up method to estimate the baseline GHG emissions for several scenarios by adopting the Clean Development Mechanism 2 (CDM2) and Pollution Control Department (PCD) methods over a 20-year planning horizon. The cleaner technology strategy clearly showed the greatest performance in reducing the GHG emission, followed by land use planning and restriction of private vehicle usage. The public transit improvement strategy illustrated the least GHG emissions reduction. Integrated scenarios clearly illustrated larger potential benefits, more effective than the individual scenarios. For both individual and integrated scenarios, the potential performances of the GHG emissions reduction estimated by the PCD method were greater than those assessed by the CDM2 method.     

The relationship between airport image,national identity and passengers delight: A case study of the Malaysian low cost carrier terminal (LCCT)

This study examines the relationship between airport image and passengers delight in the context of a low cost carrier terminal in Malaysia. It also seeks to investigate the moderating effect of the airport's national identity on the predicted relationship between the two main constructs. The research, involving 200 passengers (foreign tourists), employed Hierarchical Moderated Regression as the main method of data analysis. The results revealed that there is a strong positive relationship between the airport image and passengers delight, and that national identity helps strengthen the relationship of the main effect.     

A cointegration analysis of bilateral air travel flows: The case of international travel to and from the United States

Demand for international air travel has risen over the past decade causing international visitation to the US to reach a record high in 2012. This paper assesses the dynamic impacts of GDP, exchange rate, and the 9/11 terrorist attacks on bilateral air travel flows between the US and its 11 major travel and trading partners. An autoregressive distributed lag modeling approach is employed to estimate short- and long-run relationships between variables. Long-run results demonstrate foreign GDP as the major determinant of demand for inbound travel to the US and US GDP is a crucial factor affecting demand for outbound travel from the US. These findings support a strong linkage between economic growth and demand for international air travel. The real exchange rate has relatively little impact on the bilateral air travel flows. The US dollar appreciation against foreign currencies is found to reduce demand for inbound travel to the US, while having mixed effects on outbound travel from the US. In the short-run, economic growth tends to be a primary factor influencing international travel flows to and from the US. The 9/11 market shock has a detrimental short- and long-run effect on the bilateral air travel flows, implying that the impact of 9/11 is prolonged in international air travel markets.