Modeling fair air traffic assignment in the vicinity of airports

2018 ◽  
Vol 65 ◽  
pp. 213-228 ◽  
Author(s):  
Paul Chatelain ◽  
Mathieu Van Vyve
Author(s):  
Emir Ganić ◽  
Obrad Babić ◽  
Mirjana Čangalović ◽  
Milan Stanojević

Aviation ◽  
2012 ◽  
Vol 15 (4) ◽  
pp. 92-100 ◽  
Author(s):  
Petar Mirosavljević ◽  
Slobodan Gvozdenović ◽  
Olja Čokorilo

The critical concern of modern airports is the air pollution generated by air traffic and its impact on the airport environment. Air pollution is an unavoidable consequence of air traffic, but it can be reduced in numerous ways, including technical innovations in aircraft design and legislation. This paper presents a model of air traffic assignment as a measure to mitigate the concentration of air traffic pollution. The air traffic assignment model was developed specifically for Nikola Tesla Airport but could easily be applied to other airports. The model is based on the categorisation of aircraft according to engine type and the assignment of specific runways for take-off and landing for each aircraft category. It incorporates two basic goals: to increase airport capacity and to reduce the pollution level in the area around the airport. Although these goals are contradictory, it has been shown in the case of Nikola Tesla Airport that the proposed air traffic assignment model successfully creates pollution level equilibrium in the area around the runway thresholds and an increase in airport capacity. The paper suggests pollution measurement points as the basis for a pollution management tool and system for daily air traffic pollution control. Santrauka Šiame straipsnyje aprašomas oro transporto paskirstymo modelis, leidžiantis sumažinti oro transporto srautų sukeliamą oro taršą. Šis modelis sukurtas Nikola Tesla oro uostui, bet yra lengvai pritaikomas ir kitiems oro uostams. Modelio pagrindas – tai orlaivių klasifikavimas pagal variklių tipus ir tam tikrų KTT paskyrimas atitinkamoms kategorijoms. Siekiama išnaudoti visas oro uosto galimybes ir sumažinti taršos lygį. Nors tikslai atrodo priešingi, tačiau įrodyta, kad pasiūlytas oro transporto paskirstymo modelis sėkmingai išlaiko taršos lygio pasiskirstymą prie KTT pradžios ir padidina oro uosto galimybes. Taip pat siūlomi tinkami taršos matavimo taškai kasdienei oro taršos kontrolei.


2021 ◽  
pp. 1-15
Author(s):  
Zhengyi Wang ◽  
Daniel Delahaye ◽  
Jean-Loup Farges ◽  
Sameer Alam

2015 ◽  
Vol 5 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Michaela Schwarz ◽  
K. Wolfgang Kallus

Since 2010, air navigation service providers have been mandated to implement a positive and proactive safety culture based on shared beliefs, assumptions, and values regarding safety. This mandate raised the need to develop and validate a concept and tools to assess the level of safety culture in organizations. An initial set of 40 safety culture questions based on eight themes underwent psychometric validation. Principal component analysis was applied to data from 282 air traffic management staff, producing a five-factor model of informed culture, reporting and learning culture, just culture, and flexible culture, as well as management’s safety attitudes. This five-factor solution was validated across two different occupational groups and assessment dates (construct validity). Criterion validity was partly achieved by predicting safety-relevant behavior on the job through three out of five safety culture scores. Results indicated a nonlinear relationship with safety culture scales. Overall the proposed concept proved reliable and valid with respect to safety culture development, providing a robust foundation for managers, safety experts, and operational and safety researchers to measure and further improve the level of safety culture within the air traffic management context.


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