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The Twin Transition Playbook and White Paper, co-produced by ACI World, Royal Schiphol Group, and PA Consulting as a collaborative task force, provide practical guidance to assist airports in integrating digital and sustainability priorities into their strategies.

The Financing the Airports of Tomorrow: A Green Transition Toolkit is a starting point on what airports can do to tackle their Scope 1, 2, and 3 emissions and the financing mechanisms needed to do so.

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The Worldwide Airport Slot Guidelines (WASG) are the foundation of the global slot coordination process. The WASG is jointly published by IATA, Airports Council International (ACI) and the Worldwide Airport Coordinators Group (WWACG). The WASG is built on the pillars of transparency, flexibility, certainty, consistency, and sustainability. Thanks to continual update and revision, the WASG represents the globally accepted best practice and ensures that slots at coordinated airports are neutrally and fairly allocated to airlines using consistent policies, principles, and processes.

The prime objective of airport slot coordination is to ensure the most efficient declaration, allocation and use of available airport capacity in order to optimize benefits to consumers, taking into account the interests of airports and airlines.

The Worldwide Airports Lawyers Association is a non-profit partnership with the goal of promoting cooperation among airport legal affairs departments and legal advisors for airports worldwide, as well as other public and private sectors related to the aeronautical industry.

As of 2022, the United States accounts for the top four busiest airports in the world. Eight countries have at least two airports in the top 50, with the United States at 19, Turkey with three; and France, Germany, India, Mexico, Spain, and the United Kingdom with two airports each.[4] In terms of regions, North America has 22 airports in the top 50, followed by Europe at 11, Southeast Asia and West Asia each at five, East Asia, South Asia and South America each at two, and Oceania has one.

ACI World, the most authoritative source for global airport passenger, cargo and aircraft movement traffic, complied data to rank more than 2,600 airports across more than 180 countries and territories.

Heathrow Airport is the main international airport serving London, and is the largest of the six international airports of the London airport system. The airport is owned and operated by Heathrow Airport Holdings.

There is no risk-free level of exposure to secondhand smoke. Eliminating smoking in indoor spaces fully protects nonsmokers from exposure to secondhand smoke. An overwhelming majority of large-hub airports in the United States prohibit smoking indoors.

Among the 50 busiest airports worldwide, 23 airports (46%), including five of the 10 busiest airports, prohibit smoking in all indoor areas. While smoke-free airports among the 50 busiest are common in North America (14 of 18), few airports in Asia (4 of 22) have implemented smoke-free polices.

The findings in this report are subject to at least three limitations. First, information on smoke-free policies was based on information available on airport websites, which could be subject to bias or be outdated. However, these data were cross-checked with secondary information sources, and questions about unclear information were resolved by contacting local public health and airport personnel. Second, it was not possible to identify the types of smoking areas that were allowed in all airports (e.g., rooms used exclusively for smoking, smoking sections in restaurants and bars, rooms or areas in airline clubs, etc.), nor was it possible to ascertain passenger or employee movement through airports, which might or might not include use of or proximity to areas where smoking is permitted. In addition, because it was not possible to identify smoke-free policies in outdoor areas or areas near exits, this information was not reported. Finally, only the 50 busiest airports were included in this study; therefore, regions such as South America and Africa were not represented in the study because they did not include any of these busiest airports. However, many airports with lower passenger volume have implemented smoke-free policies (8).

Progress has been made in protecting nonsmoking passengers and employees from secondhand smoke in airports. A majority of airports are smoke-free in many countries worldwide, including Australia and New Zealand; European countries such as Denmark, Ireland, Norway, Spain, and the United Kingdom; South American countries such as Argentina, Brazil, Chile, Ecuador, and Uruguay; and North American countries such as Canada and the United States. Smoke-free policies at the national, city, or airport authority levels can protect employees and travelers from secondhand smoke inside airports.

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The RePEc plagiarism page Measuring the influence of congestion on efficiency in worldwide airportsRc Marques (Obfuscate( 'ist.utl.pt', 'rui.marques' )) and Pedro SimesJournal of Air Transport Management, 2010, vol. 16, issue 6, 334-336Abstract:This short communication evaluates the influence of congestion on the technical efficiency of airports using three different approaches. To accomplish this aim a sample of 141 worldwide airports is used. The results show considerable signs of congestion inefficiency in some airports, highlighting the importance of studying this phenomenon.Keywords: Airports; Congestion; Efficiency (search for similar items in EconPapers)

Date: 2010

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Citations: View citations in EconPapers (9) Track citations by RSS feedDownloads: (external link)

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This item may be available elsewhere in EconPapers: Search for items with the same title.Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/TextPersistent link: :eee:jaitra:v:16:y:2010:i:6:p:334-336DOI: 10.1016/j.jairtraman.2010.03.002Access Statistics for this articleJournal of Air Transport Management is currently edited by Anne GrahamMore articles in Journal of Air Transport Management from Elsevier

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According to the Aviation Global Incident Map, there were over 500 emergency landings and 20 plane crashes worldwide this year, and none of them were at any of the most dangerous airports. I have had the privilege (and luck) to have landed in many of these airports, and I hope you will get to experience them as well. Not simply reachable by dramatic and carefully orchestrated landings, these airports are located in some of the most beautiful and often remote areas on the planet.

Many of these airports are accessible only by well trained and qualified pilots. In Paro, Bhutan only 17 pilots are trained to maneuver the breathtaking landing and in small airports in remote locations like Norway and Antarctica, the landings are even more dramatic. I applaud the many talented pilots out there who make these successful landings every day. Here is my top list of most thrilling airport landings in the world.

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A worldwide network expanded to 44 airports in 11 countries, welcoming more than 180 million passengers in 2017 (1)

We study complex networks with weights w(ij) associated with each link connecting node i and j. The weights are chosen to be correlated with the network topology in the form found in two real world examples: (a) the worldwide airport network and (b) the E. Coli metabolic network. Here w(ij) approximately equals x(ij)(k(i)k(j))alpha, where k(i) and k(j) are the degrees of nodes i and j , x(ij) is a random number, and alpha represents the strength of the correlations. The case alpha >0 represents correlation between weights and degree, while alpha< 0 represents anticorrelation and the case alpha=0 reduces to the case of no correlations. We study the scaling of the lengths of the optimal paths, l(opt), with the system size N in strong disorder for scale-free networks for different alpha. We find two different universality classes for l(opt), in strong disorder depending on alpha: (i) if alpha >0 , then for lambda >2 the scaling law l(opt) approximately equals N(1/3), where lambda is the power-law exponent of the degree distribution of scale-free networks, and (ii) if alpha< or =0 , then l(opt) approximately equals N((nu)(opt)) with nu(opt) identical to its value for the uncorrelated case alpha=0. We calculate the robustness of correlated scale-free networks with different alpha and find the networks with alpha< 0 to be the most robust networks when compared to the other values of alpha. We propose an analytical method to study percolation phenomena on networks with this kind of correlation, and our numerical results suggest that for scale-free networks with alpha< 0 , the percolation threshold p(c) is finite for lambda >3, which belongs to the same universality class as alpha=0 . We compare our simulation results with the real worldwide airport network, and we find good agreement. be457b7860