A Complex Network Approach to Aviation Accident Analysis

Griffin, Thomas G. C.; Young, Mark S.; Stanton, Neville A.

doi:10.1201/9781315106595-11

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The method captures social, communication, and task networks between elements of a system. The framework has been established and built upon through application to military case studies (e.g., Griffin et al, 2018; Stanton & Harvey, 2017; Stanton & Roberts, 2020), yet such a basis is likely to be largely male‐dominant (although the write‐up of these studies does not comment on the gender, which in itself perpetuates the gender data gap and reporting, such should be a minimal requirement in attempting to close the gender data gap).…”

Section: The Gender Data Gap At the Mesolevelmentioning

confidence: 99%

How can human factors close the gender data gap?

Parnell,

Plant

2023

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

This commentary paper will describe how the discipline of human factors and ergonomics (HFE) can help to close the gender data gap, which is prevalent across many domains and arises due to a lack of data capturing female metrics and viewpoints. HFE is a domain‐independent discipline that seeks to understand human performance and well‐being with respect to the interactions that humans engage in and the environments that they inhabit. HFE therefore presents an opportunity to understand how gender influences human performance, effective design, social interactions, and environmental factors. This paper argues that a sociotechnical systems approach is essential when reviewing equality, diversity, and inclusivity issues, without which attempts to close the gender data gap will not go far enough. Following the sociotechnical systems approach in HFE, the micro‐, meso‐, and macro‐levels of system design with respect to closing the gender data gap are reviewed. We discuss these issues in relation to a case study example of a crash test dummy. A checklist approach for researchers is presented, which identifies key questions that prompt where gender should be considered in the research process across these levels of sociotechnical systems.

show abstract

Section: The Gender Data Gap At the Mesolevelmentioning

confidence: 99%

How can human factors close the gender data gap?

Parnell,

Plant

2023

Hum Ftrs & Erg Mfg Svc

View full text Add to dashboard Cite

show abstract

Human Factor Analysis Model of Civil Aviation Incidents Based on Bayesian Network

Zhang

Wang

Luo

et al. 2013

AMR

View full text Add to dashboard Cite

To generate a model which can provides detailed data analysis supportive in aviation incident analysis, a human factor analysis model based on Bayesian network theory is established. This model is a Bayesian network which uses three layers nodes to represent causality between human factors and incidents. The specific impact degree of human factors on aviation incidents is represented by conditional probability parameters of the model. The model structure, constructed by combing hill-climbing search method with CH score function, coincides with the actual data. This model is useful in aviation incident analyses and deductions.

show abstract

A Complex Network Approach to Aviation Accident Analysis

Cited by 2 publications

References 0 publications

How can human factors close the gender data gap?

How can human factors close the gender data gap?

Human Factor Analysis Model of Civil Aviation Incidents Based on Bayesian Network

Contact Info

Product

Resources

About