Human Factors Contributes to Queuing Theory: Parkinson's Law and Security Screening

2007 ◽  
Author(s):  
Clara V. Marin ◽  
Colin G. Drury ◽  
Rajan Batta ◽  
Li Lin
Keyword(s):  
Human Factors ◽  
Queuing Theory ◽  
Security Screening

Human Factors Contributes to Queuing Theory: Parkinson's Law and Security Screening

2007 ◽  
Vol 51 (10) ◽  
pp. 602-606 ◽  
Author(s):  
Clara V. Marin ◽  
Colin G. Drury ◽  
Rajan Batta ◽  
Li Lin
Keyword(s):  
Service Quality ◽  
Human Factors ◽  
Empirical Evidence ◽  
Waiting Time ◽  
Queue Length ◽  
Queuing Theory ◽  
Security Screening ◽  
Speed Up

It is the thesis of this paper that queuing theory should take into account not just the behavior of customers in queues, but also the behavior of servers. Servers may change their behavior in response to queue length, which has implications for service quality as well as for customer waiting time. Parkinson's Law would be one explanation of any speed-up effect as queue length increases. We provide empirical evidence for this assertion in one queuing situation with high visibility and high error consequence: security screening at an airport.

scholarly journals Corrigendum

2017 ◽  
Vol 61 (1) ◽  
pp. 2120-2120
Keyword(s):  
Human Factors ◽  
Annual Meeting ◽  
Article Title ◽  
Security Screening ◽  
X Ray ◽  
Human Factors And Ergonomics

Sellers, B., Rivera, J. A., Fiore, S. M., Schuster, D., & Jentsch, F. (2010). Assessing x-ray security screening detection following training with and without threat-item overlap. Proceedings of the 54th Annual Meeting of the Human Factors and Ergonomics Society, vol. 54, 19: pp. 1645-1649. First published September 1, 2010. (Original DOI: 10.1177/154193121005401960) Please note that the title of this article published with an error. It originally appeared as “Como vaAssessing X-ray Security Screening Detection following Training with and without Threat-item Overlap.” The correct article title is “Assessing X-ray Security Screening Detection following Training with and without Threat-item Overlap.”

scholarly journals Human Factors and Errors in Security Aviation: An Ergonomic Perspective

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Michelle S. F. Arcúrio ◽  
Eliane S. Nakamura ◽  
Talita Armborst
Keyword(s):  
Human Factors ◽  
Civil Aviation ◽  
International Civil Aviation Organization ◽  
Screening Process ◽  
Security Screening ◽  
Labor Conditions ◽  
Security Checkpoints ◽  
Modelling System

In a previous study we have identified the incidence of human factors and errors in the security screening process, concerning the Brazilian civil aviation. This finding led to the analysis of labor activity in the security checkpoint from an ergonomic perspective. The objective of this study was to evaluate the various labor conditions in the security checkpoints of Brazilian airports, in order to promote safer and higher performance of the AVSEC professionals, as well as the security equipment. For this purpose, we analyzed 14 of 60 questions of a self-observation questionnaire based on the theory of Generic Error–Modelling System (GEMS) and the four themes about human factors recommended by the International Civil Aviation Organization (ICAO). The questionnaire was responded to by 602 AVSEC professionals who worked in the security checkpoints of 18 Brazilian airports. Our analysis focused on the preponderant indexes of each question, taking into account the sequential arrangement in which the questions were displaced in the questionnaire and the classification of human factors and errors.

An Application of the HFACS Method to Aviation Accidents in Africa

2016 ◽  
Vol 6 (1) ◽  
pp. 33-38 ◽  
Author(s):  
Isaac Munene
Keyword(s):  
Human Factors ◽  
Physical Environment ◽  
Human Factor ◽  
Flight Training ◽  
African Countries ◽  
Causal Factors ◽  
Aviation Accidents ◽  
Factors Analysis ◽  
Adverse Weather ◽  
Decision Errors

Abstract. The Human Factors Analysis and Classification System (HFACS) methodology was applied to accident reports from three African countries: Kenya, Nigeria, and South Africa. In all, 55 of 72 finalized reports for accidents occurring between 2000 and 2014 were analyzed. In most of the accidents, one or more human factors contributed to the accident. Skill-based errors (56.4%), the physical environment (36.4%), and violations (20%) were the most common causal factors in the accidents. Decision errors comprised 18.2%, while perceptual errors and crew resource management accounted for 10.9%. The results were consistent with previous industry observations: Over 70% of aviation accidents have human factor causes. Adverse weather was seen to be a common secondary casual factor. Changes in flight training and risk management methods may alleviate the high number of accidents in Africa.

Asiana Airlines Flight 214

2014 ◽  
Vol 4 (2) ◽  
pp. 113-121 ◽  
Author(s):  
Stephanie Chow ◽  
Stephen Yortsos ◽  
Najmedin Meshkati
Keyword(s):  
Human Factors ◽  
Aviation Safety ◽  
Cultural Factors ◽  
Vital Role ◽  
Cultural Issues ◽  
Flight Crew ◽  
Pilot Performance ◽  
Engineering Designs ◽  
Flight Deck

This article focuses on a major human factors–related issue that includes the undeniable role of cultural factors and cockpit automation and their serious impact on flight crew performance, communication, and aviation safety. The report concentrates on the flight crew performance of the Boeing 777–Asiana Airlines Flight 214 accident, by exploring issues concerning mode confusion and autothrottle systems. It also further reviews the vital role of cultural factors in aviation safety and provides a brief overview of past, related accidents. Automation progressions have been created in an attempt to design an error-free flight deck. However, to do that, the pilot must still thoroughly understand every component of the flight deck – most importantly, the automation. Otherwise, if pilots are not completely competent in terms of their automation, the slightest errors can lead to fatal accidents. As seen in the case of Asiana Flight 214, even though engineering designs and pilot training have greatly evolved over the years, there are many cultural, design, and communication factors that affect pilot performance. It is concluded that aviation systems designers, in cooperation with pilots and regulatory bodies, should lead the strategic effort of systematically addressing the serious issues of cockpit automation, human factors, and cultural issues, including their interactions, which will certainly lead to better solutions for safer flights.

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