Attitudes of Metro Drivers Towards Design of Immediate Physical Environment and System Layout

Rjabovs, Aleksandrs; Palacín, Roberto

doi:10.1007/s40864-015-0020-y

Cited by 5 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…While significant rail accidents are subject to extensive 189 reporting, it was unclear whether it would be possible to identify latent features of accidents, at both 190 organisational levels and beyond, in the type of reports generated for minor safety of the line 191 incidents, or whether these investigations focus more on surface-level features relating to unsafe acts 192 and their preconditions. Rjabovs and Palacin (2015) found that there was a tendancy not to attribute 193 systemic, physical or design factors to the causation of SPADs in a metro environment, and it is likely 194 that a similar issue might arise when looking at other types of rail transport. Therefore, this paper also 195 aimed to measure the quality and depth of the information contained in minor incident investigation 196 reports.…”

mentioning

confidence: 99%

Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents

Madigan

Golightly

Madders³

2016

Accident Analysis & Prevention

100

View full text Add to dashboard Cite

22Minor safety incidents on the railways cause disruption, and may be indicators of more serious safety 23 risks. The following paper aimed to gain an understanding of the relationship between active and 24 latent factors, and particular causal paths for these types of incidents by using the Human Factors 25Analysis and Classification System (HFACS) to examine rail industry incident reports investigating such 26 events. 78 reports across 5 types of incident were reviewed by two authors and cross-referenced for 27 interrater reliability using the index of concordance. The results indicate that the reports were strongly 28 focused on active failures, particularly those associated with work-related distraction and 29 environmental factors. Few latent factors were presented in the reports. Different causal pathways 30 emerged for memory failures for events such a failure to call at stations, and attentional failures which 31 were more often associated with signals passed at danger. The study highlights a need for the rail 32 industry to look more closely at latent factors at the supervisory and organisational levels when 33 investigating minor safety of the line incidents. The results also strongly suggest the importance of a 34 new factor operational environment that captures unexpected and non-routine operating 35 conditions which have a risk of distracting the driver. Finally, the study is further demonstration of the 36 utility of HFACS to the rail industry, and of the usefulness of the index of concordance measure of 37 interrater reliability. 38

show abstract

mentioning

confidence: 99%

Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents

Madigan

Golightly

Madders³

2016

Accident Analysis & Prevention

100

View full text Add to dashboard Cite

show abstract

“…This is the second largest urban rail system in the UK and the only one powered by an overhead DC 1500 V supply network. Further details on the T&W network can be found in [9][10][11][12]. The in-field eye-tracking experiment was designed as a naturalistic driving study.…”

Section: Methodsmentioning

confidence: 99%

“…In each trial only certain timeframes were analysed: 15 s before a full stop at a station and 10 s before a departure from a station. Previous research [11,12,14] suggested a relationship between a type of physical environment at a station and drivers' performance, which was selected as an avenue for this research. The arrival timeframes were selected to analyse potential effects of the built environment on selection of a stopping position, or distractions causing a dip in performance.…”

Section: Trials Designmentioning

confidence: 99%

Investigation into Effects of System Design on Metro Drivers’ Safety-Related Performance: An Eye-Tracking Study

Rjabovs

Palacín

2019

Urban Rail Transit

Self Cite

View full text Add to dashboard Cite

This paper explores performance shaping factors associated with holistic design aspects of metro systems affecting driver's behaviour based on a case study using eye-tracking techniques. Train driving is a highly visual task where the physical environment provides key visual instructions. Eye-mind theories suggest that eye movements closely follow cognitive processes when it comes to interaction with the visual world. The data for this study have been collected in a representative urban rail system serving a metropolitan area with circa 1.2 million inhabitants during 20 in-service trials. Participating drivers were asked to wear an eye-tracker while driving a train as they would normally do. The study focuses on four areas of interest at four consecutive stations. The stations have similar characteristics but differ in terms of certain design elements which are mirrors, platforms, stopping position markers and positions of a running signal. Previous studies have demonstrated the importance of these elements to metro drivers. The paper assesses the usability of the system design elements through analysis of gaze fixations. Results suggest the importance of the positions of a mirror and a signal in relation to the cab, as well as the distance between a stopping point and a signal. Such factors as openness of stations, passenger loadings and informativeness of certain elements also demonstrated influence on drivers' performance. It was also found that drivers sometimes do not check a signal before departing a station, which is a significant concern. The paper discusses factors potentially propagating such behaviour.

show abstract

“…Performance of metro systems and train delays have been studied by Marinov and Viegas [1], Rjabovs et al [2], Rjabovs and Palacin [3], Wales and Marinov [4], Dampier and Marinov [5], Darlton and Marinov [6], Rjabovs and Palacin [7], Rjabovs and Palacin [8], and Powell et al [9,10].…”

Section: Introductionmentioning

confidence: 99%

“…Rjabovs and Palacin concluded that drivers have good route knowledge that should in theory translate into near ideal timetable keeping if there are no other influences. One can claim that irregularities in a timetable causing conflicting movements and delays is one of the examples of such influence [3].…”

Section: Introductionmentioning

confidence: 99%

Data Analysis to Study Sub-threshold Delays Incurred by Tyne and Wear Metro Trains

Screen

Parkinson²,

Shilton³

et al. 2020

Urban Rail Transit

Self Cite

View full text Add to dashboard Cite

The performance of Tyne and Wear Metro system in the UK is measured on a headway basis, and gaps in service that are 4 min or more in excess of scheduled gaps are investigated and the cause documented. The metro system has a number of infrastructure constraints including single-line sections, junctions and level crossings, all of which have to be taken account of when constructing the timetable, in order to avoid trains being held by the signalling system, causing delays. The objective of this study is to analyse delays less than 4 min, which are not investigated or attributed to a cause, known as subthreshold delays. The purpose of the analysis is to identify regularly occurring issues which are due to the timetable, in order to recommend changes. Two different data sets were used. The first data set explored specific trains, areas and times of day where delays were highest. The second data set allowed us to drill down on each of those in greater detail by studying station departure times for each train. A number of options to resolve the issues identified during the analysis are proposed. Whilst the results are specific to the Tyne and Wear Metro system, the methodology is suitable for use by other urban rail transit systems. The study identified several areas of future work including resolving data recording issues, carrying out further investigation of trains at peak times in particular scenarios, and automating the analysis through the use of other software.

show abstract

Attitudes of Metro Drivers Towards Design of Immediate Physical Environment and System Layout

Cited by 5 publications

References 20 publications

Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents

Application of Human Factors Analysis and Classification System (HFACS) to UK rail safety of the line incidents

Investigation into Effects of System Design on Metro Drivers’ Safety-Related Performance: An Eye-Tracking Study

Data Analysis to Study Sub-threshold Delays Incurred by Tyne and Wear Metro Trains

Contact Info

Product

Resources

About