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1

Li, Yafei, and Yuxi Liu. "Multi-airport system flight slot optimization method based on absolute fairness." Mathematical Biosciences and Engineering 20, no. 10 (2023): 17919–48. http://dx.doi.org/10.3934/mbe.2023797.

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<abstract> <p>With the rapid development of the civil aviation industry, the number of flights has increased rapidly. However, the availability of flight slot resources remains limited, and how to allocate flight slot resources effectively has been a hot research topic in recent years. A comprehensive flight slot optimization method can significantly enhance the rationality of the allocation results. The effective allocation of flight slot is the key to improving the operational efficiency of the multi-airport system. We will optimize the flight schedule of the entire multi-airport
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2

Wang, Yuhan. "Research on the TTC-CDM Algorithm in Collaboration Decision Making of the Airport Slot." Advances in Economics, Management and Political Sciences 64, no. 1 (2023): 156–62. http://dx.doi.org/10.54254/2754-1169/64/20231524.

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With the growing of the globalization, the civil aviation grew in popularity, the air transport industry has witnessed significant growth driven by advancements in science and technology. This progress has also led to the emergence of resource allocation inefficiencies at many airports. Apart from building more runways and airports, lifting the efficiency of existing capacities is a much more cost-effective strategy, where Top Trading Cycle (TTC) algorithm is a prospective solution. This studys application of TTC to the slot allocation problem is different from conventional TTC. Conventional T
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3

Parikesit, Danang, Safrilah, and Yusa Permana. "AN ASSESSMENT OF DISINCENTIVE POLICY ON SLOT ALLOCATION SYSTEM IN INDONESIAN AIRPORTS." Journal of Air Transport Studies 7, no. 1 (2016): 29–48. http://dx.doi.org/10.38008/jats.v7i1.51.

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Indonesian airports have been experiencing significant air traffic growth and are unable to cope with the increasing air passenger demand. There is an urgent need for an effective slot allocation strategy to manage the demand for airport capacity. This paper conducts a case study to examine the possibility of managing slot time allocation to maximize runways capacity by analyzing disincentive strategy in balancing the usage of runways with Capacity Restraint and Demand Balanced approach. The research found that airlines willing to use slot time at the most demanded time interval should pay an
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4

Wang, Donghai, and Qiuhong Zhao. "A Simultaneous Optimization Model for Airport Network Slot Allocation under Uncertain Capacity." Sustainability 12, no. 14 (2020): 5512. http://dx.doi.org/10.3390/su12145512.

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Serious congestion and delay problems exist in most of the busiest airports worldwide because of imbalance between scarce airport slot resources and increasing traffic demand. Various factors, especially weather conditions, exacerbate the demand–capacity imbalance. This paper presents a robust model for simultaneous slot allocation on an airport network in multiple calendar days, considering airport capacity uncertainty. The idea of robust optimization is conducive to sustainable and stable decision-making. Robustness is represented through reducing the potential scheduling conflicts in the wo
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5

Naumann, Christoph. "New Proposal to Amend the System of Airport Slot Allocation in the European Union." Air and Space Law 37, Issue 3 (2012): 185–211. http://dx.doi.org/10.54648/aila2012013.

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Although air traffic in Europe is forecasted to double by 2030, many major European airport hubs are operating at or close to full capacity already today, i.e. they cannot meet the airlines' demand for takeoff and landing slots. A continuous increase of airport capacity (mostly by adding additional runways) is hardly possible in the densely populated European Union. The Council Regulation (EEC) 95/93 on common rules for the allocation of slots at Community airports (CR 95/93) establishes a set of rules for the allocation of takeoff and landing slots which are the most critical bottleneck in Eu
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6

Liu, Li Hua, Ya Ping Zhang, and Yu Wei. "A Pushback Slot Allocation Equilibrium Model Based on Game Theory." Advanced Materials Research 807-809 (September 2013): 2858–62. http://dx.doi.org/10.4028/www.scientific.net/amr.807-809.2858.

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This paper analyses the relationship between airport and airline, the time slot allocation system is portrayed as a market where the airline can be seen as consumer, airport can be seen as the trader and the goods is the occupied pushback slots of airport. In that case, the generalized nash equilibrium game is presented based on game theory. Taking the Minimize delay as a target, a decision models of airport was established. The pushback slot allocation equilibrium model based on game theory is finnally formed, and a framework for solving the equilibrium solution is proposed.
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7

Madas, Michael A., and Konstantinos G. Zografos. "Airport slot allocation: a time for change?" Transport Policy 17, no. 4 (2010): 274–85. http://dx.doi.org/10.1016/j.tranpol.2010.02.002.

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8

Abeyratne, Ruwantissa I. R. "Management of airport congestion through slot allocation." Journal of Air Transport Management 6, no. 1 (2000): 29–41. http://dx.doi.org/10.1016/s0969-6997(99)00019-8.

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9

Picard, P. M., A. Tampieri, and Xi Wan. "Airport capacity and inefficiency in slot allocation." International Journal of Industrial Organization 62 (January 2019): 330–57. http://dx.doi.org/10.1016/j.ijindorg.2017.10.003.

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10

Madas, Michael A., and Konstantinos G. Zografos. "Airport slot allocation: From instruments to strategies." Journal of Air Transport Management 12, no. 2 (2006): 53–62. http://dx.doi.org/10.1016/j.jairtraman.2005.08.001.

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11

Markiewicz, PhD, Assoc Prof Telesfor Marek. "LEGAL CONDITIONS AND THE ALLOCATION OF SLOTS AT POLISH AIRPORTS." Zeszyty Naukowe Akademii Sztuki Wojennej 117, no. 4 (2020): 5–26. http://dx.doi.org/10.5604/01.3001.0014.3425.

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The ever-growing imbalance between the demand for air transport and the availability of suitable airport infrastructure to meet this demand has made it necessary to establish rules governing the allocation of slots to air carriers at congested airports. Slots are allocated to ensure the efficient use of airport infrastructure and to maximise benefits for airlines and their passengers. The first part of the article examines the global guidelines in this area that are published periodically by the International Air Transport Association (IATA). A detailed analysis of the European Union (EU) avia
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12

Xie, Haoting. "The Analysis of Slot Optimization Based on the Top Trading Cycle Method in China Hub Airport." Advances in Economics, Management and Political Sciences 63, no. 1 (2023): 117–25. http://dx.doi.org/10.54254/2754-1169/63/20231389.

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China's aviation industry is facing a scarcer development space. In the absence of means to enhance airport capacity, airport slots have been attached great importance as a scarce resource. Due to the lagging development of China's aviation industry and its detailed fields, slot allocation in China is unscientific, and as a scarce resource, slot utilization in China has much room for improvement. After analyzing the current situation of China's slot allocation system, imperfect laws, regulations and slow marketization process, this paper proposes that the construction of the secondary market c
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13

Abeyratne, Ruwantissa. "Trading Airport Slots: The European Perspective." Global Trade and Customs Journal 5, Issue 10 (2010): 411–20. http://dx.doi.org/10.54648/gtcj2010049.

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Air transport is a beleaguered and complex business, which barely survives at the best of times. The industry differs in its commercial practices due to its own particular nature and the manner in which it is treated by States and the commercial world. One of the paradoxes faced by the air transport industry is that, while on the one hand it has to be liberalized with wellmanaged open skies agreements, on the other, unrestricted air transport services that are operated untrammelled would add to the congestion at airports, bring to bear environmental issues, and pose problems for slot allocatio
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14

Wang, Shuce, Minghua Hu, Zhening Chang, and Xuhao Zhu. "A Methodology for Allocating Incremental Resources in Single-Airport Time Slots." Aerospace 10, no. 9 (2023): 772. http://dx.doi.org/10.3390/aerospace10090772.

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Air carriers shall not readily relinquish their held flight slots. In cases where the historical flight slot pool cannot be easily altered, a pressing need arises for an allocation method that can efficiently utilize the incremental resources of these time slots. This paper presents an integer planning model to address the efficient allocation of incremental airport time slot resources. The model considers the capacity of key resource nodes and flight waveforms as constraints to maximize the total incremental slots. Moreover, it considers the adaptation of strategic and tactical optimization.
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15

Castelli, Lorenzo, Paola Pellegrini, and Raffaele Pesenti. "Airport slot allocation in Europe: economic efficiency and fairness." International Journal of Revenue Management 6, no. 1/2 (2012): 28. http://dx.doi.org/10.1504/ijrm.2012.044514.

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16

Katsigiannis, Fotios A., and Konstantinos G. Zografos. "Optimising airport slot allocation considering flight-scheduling flexibility and total airport capacity constraints." Transportation Research Part B: Methodological 146 (April 2021): 50–87. http://dx.doi.org/10.1016/j.trb.2021.02.002.

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17

Lutek, Michał. "Legal aspects of airport slot allocation: a challenge for the European Union." WUT Journal of Transportation Engineering 130 (September 1, 2020): 19–27. http://dx.doi.org/10.5604/01.3001.0014.4984.

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With the increase in the number of operations performed at airports in European Union countries, the problem of allocation of airport slots is becoming more apparent. Legal regulations in this respect were adopted over two decades ago, which means that they are not suitable for the contemporary reality of commercial aviation, which has undergone a huge change during the indicated period. This article aims to analyze the current legal framework for the allocation of slots at the level of international law, with particular emphasis on the European Union law. The main reasons affecting the urgent
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18

Wang, Shuce, Minghua Hu, Zheng Zhao, Jie Shu, and Xuhao Zhu. "Research on Flight Schedule Optimization Based on Different Runway Operation Modes." Journal of Physics: Conference Series 2491, no. 1 (2023): 012001. http://dx.doi.org/10.1088/1742-6596/2491/1/012001.

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Abstract The update and iteration of the airport facilities completed in the runway operation system raise a request for more scientific control operation restrictions. In the old, optimized method of flight slot, no consideration was given to the runway operation strategy. As a result, the flight slot failed to meet the operation restriction and would incur unavoidable delays. This paper sets the research objective as the system composed of an apron, runway entrance and exit, and parallel runway. It focuses on matching the corresponding relationship between time and space of flights in the st
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19

Cheung, W. L., R. Piplani, S. Alam, and L. Bernard-Peyre. "Dynamic capacity and variable runway configurations in airport slot allocation." Computers & Industrial Engineering 159 (September 2021): 107480. http://dx.doi.org/10.1016/j.cie.2021.107480.

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20

Ribeiro, Nuno Antunes, Alexandre Jacquillat, and António Pais Antunes. "A Large-Scale Neighborhood Search Approach to Airport Slot Allocation." Transportation Science 53, no. 6 (2019): 1772–97. http://dx.doi.org/10.1287/trsc.2019.0922.

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21

Ribeiro, Nuno Antunes, Alexandre Jacquillat, António Pais Antunes, Amedeo R. Odoni, and João P. Pita. "An optimization approach for airport slot allocation under IATA guidelines." Transportation Research Part B: Methodological 112 (June 2018): 132–56. http://dx.doi.org/10.1016/j.trb.2018.04.005.

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22

Arul, Shankar Vinay, Angappa Gunasekaran, S. P. Nachiappan, and B. Ramasamy. "Development of efficient combinatorial auction mechanism for airport slot allocation." International Journal of Services and Operations Management 3, no. 4 (2007): 427. http://dx.doi.org/10.1504/ijsom.2007.013464.

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23

Kociubiński, Jakub. "Regulatory Challenges of Airport Slot Allocation in the European Union." Wroclaw Review of Law, Administration & Economics 3, no. 1 (2013): 28–47. http://dx.doi.org/10.2478/wrlae-2013-0003.

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24

Ivanov, Nikola, Fedja Netjasov, Radosav Jovanović, Stefano Starita, and Arne Strauss. "Air Traffic Flow Management slot allocation to minimize propagated delay and improve airport slot adherence." Transportation Research Part A: Policy and Practice 95 (January 2017): 183–97. http://dx.doi.org/10.1016/j.tra.2016.11.010.

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25

Avenali, Alessandro, Tiziana D'Alfonso, Claudio Leporelli, Giorgio Matteucci, Alberto Nastasi, and Pierfrancesco Reverberi. "An incentive pricing mechanism for efficient airport slot allocation in Europe." Journal of Air Transport Management 42 (January 2015): 27–36. http://dx.doi.org/10.1016/j.jairtraman.2014.07.009.

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26

Dixit, Aasheesh Kumar, Garima Shakya, Suresh Kumar Jakhar, and Swaprava Nath. "Algorithmic mechanism design for egalitarian and congestion-aware airport slot allocation." Transportation Research Part E: Logistics and Transportation Review 169 (January 2023): 102971. http://dx.doi.org/10.1016/j.tre.2022.102971.

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27

LIU, Chang, Chaohao LIAO, Xu HANG, Yanjun WANG, and Daniel DELAHAYE. "Slot Allocation in a Multi-airport System under Flying Time Uncertainty." TRANSACTIONS OF THE JAPAN SOCIETY FOR AERONAUTICAL AND SPACE SCIENCES 67, no. 3 (2024): 127–35. http://dx.doi.org/10.2322/tjsass.67.127.

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28

Wang, Ziming, Chaohao Liao, Xu Hang, Lishuai Li, Daniel Delahaye, and Mark Hansen. "Distribution Prediction of Strategic Flight Delays via Machine Learning Methods." Sustainability 14, no. 22 (2022): 15180. http://dx.doi.org/10.3390/su142215180.

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Predicting flight delays has been a major research topic in the past few decades. Various machine learning algorithms have been used to predict flight delays in short-range horizons (e.g., a few hours or days prior to operation). Airlines have to develop flight schedules several months in advance; thus, predicting flight delays at the strategic stage is critical for airport slot allocation and airlines’ operation. However, less work has been dedicated to predicting flight delays at the strategic phase. This paper proposes machine learning methods to predict the distributions of delays. Three m
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29

Ahamada, Youssouf, Salimata G. Diagne, Amadou Coulibaly, D'ethi'e Dione, N'dogotar Nlio, and Youssou Gningue. "Modeling and Resolution of the Allocation Problem of the Time Slots in Dakar Airport." Journal of Mathematics Research 9, no. 3 (2017): 30. http://dx.doi.org/10.5539/jmr.v9n3p30.

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In this article, we proposed a programming linear model in integer numbers(PLIN) for the optimal allocation of the time slots in the international Leopold Sedar Senghor airport of Dakar (L.S.S). The slots are specific allocated periods which allow an aircraft to land or take off in a saturated airport. Their attribution depends on theconfiguration of the airport, more particularly on its capacity. We maximize the confirmed demand in each slot and take the number of aircrafts and the number of manageable passengers with an optimal quality service into account. We used the CPLEX software so that
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30

Liu, Wenjing, Qiuhong Zhao, and Daniel Delahaye. "Research on slot allocation for airport network in the presence of uncertainty." Journal of Air Transport Management 104 (September 2022): 102269. http://dx.doi.org/10.1016/j.jairtraman.2022.102269.

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31

Pellegrini, Paola, Tatjana Bolić, Lorenzo Castelli, and Raffaele Pesenti. "SOSTA: An effective model for the Simultaneous Optimisation of airport SloT Allocation." Transportation Research Part E: Logistics and Transportation Review 99 (March 2017): 34–53. http://dx.doi.org/10.1016/j.tre.2016.12.006.

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32

Wang, Yanjun, Chang Liu, Hai Wang, and Vu Duong. "Slot allocation for a multiple-airport system considering airspace capacity and flying time uncertainty." Transportation Research Part C: Emerging Technologies 153 (August 2023): 104185. http://dx.doi.org/10.1016/j.trc.2023.104185.

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33

Button, Kenneth. "Studying the empirical implications of the liberalization of airport markets." Competition and Regulation in Network Industries 21, no. 3 (2020): 223–43. http://dx.doi.org/10.1177/1783591720935767.

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This paper offers an overview of what we know about the impacts of the economic regulation of commercial airports. It offers no new empirical findings, but rather considers the challenges of conducting ex post analysis of regulatory reform. It provides an overview of what completed studies have found and assesses whether regulations have achieved their objectives. Little is said about the desirability of these objectives. The focus is on the infrastructure needed to provide commercial passenger air services. Part of the discussion concerns the extent to which the results found in more recent s
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34

Rutter, Gavin. "How Has Access to Heathrow Airport Influenced the UK–Russia Air Services Agreement?" Air and Space Law 45, Issue 4/5 (2020): 411–30. http://dx.doi.org/10.54648/aila2020060.

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Access to London Heathrow Airport has played an integral role in the development of the UK– Russia air services agreement. The entry into force of the original agreement signed in 1957 was delayed by two years due to concerns regarding the noise created by Russian aircraft at Heathrow. Since then, Russia has sought amendments to the agreement to allow Aeroflot to increase its London-Moscow frequencies, in exchange for granting UK carriers permission to operate over Siberian airspace, which is crucial for flights from Heathrow to the Far East to operate efficiently. Russia has only been willing
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35

Jorge, Diana, Nuno Antunes Ribeiro, and António Pais Antunes. "Towards a decision-support tool for airport slot allocation: Application to Guarulhos (Sao Paulo, Brazil)." Journal of Air Transport Management 93 (June 2021): 102048. http://dx.doi.org/10.1016/j.jairtraman.2021.102048.

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36

Adler, Nicole, Xiaowen Fu, Tae H. Oum, and Chunyan Yu. "Air transport liberalization and airport slot allocation: The case of the Northeast Asian transport market." Transportation Research Part A: Policy and Practice 62 (April 2014): 3–19. http://dx.doi.org/10.1016/j.tra.2014.02.003.

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37

Mehndiratta, Shomik Raj, and Mark Kiefer. "Impact of slot controls with a market-based allocation mechanism at San Francisco International Airport." Transportation Research Part A: Policy and Practice 37, no. 7 (2003): 555–78. http://dx.doi.org/10.1016/s0965-8564(02)00055-1.

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38

Štimac, Igor, Andrija Vidović, Tomislav Mihetec, and Miroslav Drljača. "Optimization of Airport Capacity Efficiency by Selecting Optimal Aircraft and Airline Business Model." Sustainability 12, no. 10 (2020): 3988. http://dx.doi.org/10.3390/su12103988.

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This paper analyses the impact of airline business models on airport infrastructure and operational capacity and answers the question how to optimize capacity in order to achieve maximum efficiency and profitability as well as how to maintain an adequate level of service quality. As part of the research, a new model was created as an integral part of the Airport Management Strategy Software (AMSS) application. The purpose of the application is to enable the airport management to review and optimize operations in terms of maximum technical and technological capacity utilization. In addition, th
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39

Park, Bomi, Daekyum Lee, Junhyuk Kim, and Seokjae Yun. "A Study on a Conceptual Design for a Simulation Model to Enhance the Airport SLOT Allocation Problem for a Single Airport." Journal of the Korean Society for Aviation and Aeronautics 32, no. 1 (2024): 61–70. http://dx.doi.org/10.12985/ksaa.2024.32.1.061.

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40

Le, Loan, George Donohue, and Chun-Hung Chen. "Auction-Based Slot Allocation for Traffic Demand Management at Hartsfield Atlanta International Airport: A Case Study." Transportation Research Record: Journal of the Transportation Research Board 1888, no. 1 (2004): 50–58. http://dx.doi.org/10.3141/1888-07.

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41

DA SILVA SOUZA, Márcio Augusto, Weigang LI, and Reinaldo Crispiniano GARCIA. "Stable two-sided matching of slot allocation in airport collaborative decision making by top trading cycles mechanism." Chinese Journal of Aeronautics 31, no. 3 (2018): 534–45. http://dx.doi.org/10.1016/j.cja.2018.01.014.

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42

Ma, Lina, Yong Tian, and Songtao Yang. "Collaborative slot allocation for arrival flights in multi-airport terminal area based on the traffic flow pattern: a case study of Shanghai terminal, China." IOP Conference Series: Earth and Environmental Science 638 (February 12, 2021): 012017. http://dx.doi.org/10.1088/1755-1315/638/1/012017.

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43

Hou, Meng, Kun Wang, and Hangjun Yang. "Hub airport slot Re-allocation and subsidy policy to speed up air traffic recovery amid COVID-19 pandemic --- case on the Chinese airline market." Journal of Air Transport Management 93 (June 2021): 102047. http://dx.doi.org/10.1016/j.jairtraman.2021.102047.

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44

Letanovská, Mária. "Different Allocation Systems." Transport and Communications 2, no. 1 (2014): 12–15. http://dx.doi.org/10.26552/tac.c.2014.1.4.

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Based on the London´s airports example it is obvious that there are differences between 3rd level airports. If the same coordination system would be introduced within various coordinated airports it could lead to various results. The results of analysis of intra-EU route data indicate that larger aircraft have been used at the 3rd level airports and there is no strong evidence of inefficient slot hoarding at these airports, not only before but also after the EC’s recognition of secondary slot trading. In contrast, the analysis of slot trading at Heathrow and Gatwick show that slot trading has
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45

Skorupski, Jacek. "Editorial." WUT Journal of Transportation Engineering 130 (September 1, 2020): 5–6. http://dx.doi.org/10.5604/01.3001.0014.6743.

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I am pleased to announce that the handing over of the 130th volume of the WUT Journal of Transportation Engineering to you coincides with the launch of the digital archive of previous journal's issues from 2014–2018. As a result, our website currently has a collection of over 650 articles on various aspects of the design and operation of transport devices and systems from all modes of transport. The papers have been prepared by eminent experts from many academic centers as well as practitioners. The WUT Journal of Transportation Engineering archive can be an excellent base for conducting liter
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46

Svorenčík, Andrej. "Allocating Airport Slots." History of Political Economy 49, Supplement (2017): 240–63. http://dx.doi.org/10.1215/00182702-4166347.

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47

Grunewald, Erik. "Incentive-based Slot Allocation for Airports." Transportation Research Procedia 14 (2016): 3761–70. http://dx.doi.org/10.1016/j.trpro.2016.05.461.

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48

Ribeiro, Nuno Antunes, Alexandre Jacquillat, António Pais Antunes, and Amedeo Odoni. "Improving slot allocation at Level 3 airports." Transportation Research Part A: Policy and Practice 127 (September 2019): 32–54. http://dx.doi.org/10.1016/j.tra.2019.06.014.

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49

Caves, Robert E. "Slot allocation: A Proposal for Europe's Airports." Journal of Air Transport Management 2, no. 1 (1995): 52–53. http://dx.doi.org/10.1016/0969-6997(95)90019-5.

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50

Ball, Michael O., Alexander S. Estes, Mark Hansen, and Yulin Liu. "Quantity-Contingent Auctions and Allocation of Airport Slots." Transportation Science 54, no. 4 (2020): 858–81. http://dx.doi.org/10.1287/trsc.2020.0995.

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In this paper, we define and investigate quantity-contingent auctions. Such auctions can be used when there exist multiple units of a single product and the value of a set of units depends on the total quantity sold. For example, a road network or airport will become congested as the number of users increase so that a permit for use becomes more valuable as the total number allocated decreases. A quantity-contingent auction determines both the number of items sold and an allocation of items to bidders. Because such auctions could be used by bidders to gain excessive market power, we impose con
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