Safety performance appraisal of air traffic control unit with the analytic hierarchy process

Author(s):  
Weishi Chen ◽  
Jing Li
Author(s):  
Mustafa Özdemir ◽  
Müjgan Sağır Özdemir

Meeting the need for qualified staff in the field of air traffic control depends primarily on selection of appropriate candidates among many applicants. The selection of competent air traffic controllers, who play a vital role in the air traffic system, is of critical importance and is usually conducted through multi-stage examinations. It is also important to use correct methods in the selection process in order to identify the most suitable candidates. In particular, the application of subjective examinations, such as interviews in a standard way, and determination and standardization of criteria can assist in selecting the right candidates. Within this context, the student selection process in an air traffic control department is investigated, with the aim of supporting the interview examination through the Analytic Hierarchy Process. The criteria weighting is determined by expert opinion. Thirty-nine candidates are ranked according to the AHP, with the current and proposed rankings being compared. As a result, the ranking has changed significantly with the proposed approach.


2014 ◽  
Vol 543-547 ◽  
pp. 1242-1245
Author(s):  
Zheng Hong Xia ◽  
Wei Jun Pan

The system effectiveness is the key operational parameters of air traffic control system (ATCS). Based on the aspects of external environment, inner static functional and dynamic running effectiveness, the concept of ATCS effectiveness was proposed in this paper. And the evaluation model and corresponding evaluation approaches which combined with improved analytic hierarchy process (I-AHP) and Delphi Method (DM) were adopted. According to the example analysis, evaluating results show good conformity with specialists judgment, which verify the rationality of evaluation model and algorithms.


Author(s):  
Dawn P. Guegan ◽  
Peter T. Martin ◽  
Wayne D. Cottrell

The analytic hierarchy process (AHP), a multiple-criteria decision-making tool, is used to prioritize traffic-calming projects. AHP is proposed as an alternative to existing point scoring systems. Prioritization methods used in traffic-calming programs in Portland, Oregon, and Canberra, Australia, are applied; the results are compared to those of AHP. The three methods apparently produce similar rankings when applied to local streets that have speeding problems. AHP produces rankings different from those of the other two methods, however, when complex issues and qualitative factors must be taken into account. AHP may be more suitable in cases in which some factors cannot be quantified. In the examples studied, these factors included traffic diversion, the importance of the street, the impacts of existing traffic-control devices and measures adjacent to elementary schools, terrain, and neighborhood residents’ opinions. None of these factors could readily be assigned a value in a point scoring system. Some of the concerns in applying AHP are the tediousness of making pairwise comparisons between alternatives, the consistency of the comparisons, and the defensibility of the scores. The decision maker should examine the scores to ensure that they are sensible and should be adequately aware of the issues so as to defend the scores. If there are n alternatives, then n( n - 1)/2 pairwise comparisons are needed. Clearly, for expedient application of AHP, the alternatives must be limited to a reasonable number.


2019 ◽  
pp. 1-13
Author(s):  
Luz Judith Rodríguez-Esparza ◽  
Diana Barraza-Barraza ◽  
Jesús Salazar-Ibarra ◽  
Rafael Gerardo Vargas-Pasaye

Objectives: To identify early suicide risk signs on depressive subjects, so that specialized care can be provided. Various studies have focused on studying expressions on social networks, where users pour their emotions, to determine if they show signs of depression or not. However, they have neglected the quantification of the risk of committing suicide. Therefore, this article proposes a new index for identifying suicide risk in Mexico. Methodology: The proposal index is constructed through opinion mining using Twitter and the Analytic Hierarchy Process. Contribution: Using R statistical package, a study is presented considering real data, making a classification of people according to the obtained index and using information from psychologists. The proposed methodology represents an innovative prevention alternative for suicide.


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