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Taking a mixed-methods approach to collision investigation: AcciMap, STAMP-CAST and PCM

Taking a mixed-methods approach to collision investigation: AcciMap, STAMP-CAST and PCM
Taking a mixed-methods approach to collision investigation: AcciMap, STAMP-CAST and PCM

Recently, ergonomics and safety researchers have turned their attention towards applying combinations of sociotechnical methods rather than using single methods in isolation. In the current research, a mixed-method approach combining two systems-based methods, Accimaps and the Systems Theoretic Accident Model and Process - Causal Analysis using Systems Theory (STAMP-CAST), and one cognitive approach, the Perceptual Cycle Model (PCM), were employed in analysing a rail-level crossing incident in Bangladesh. Each method was applied individually to investigate the collision, and interventions were proposed corresponding to incident events at different risk management framework levels. The three methods provided different perspectives of the whole picture, together identifying an array of contributory factors. The complementary nature of these methods aided in proposing a comprehensive set of safety recommendations, thereby demonstrating the benefit of a mixed-method approach for collision investigation in low-income settings.

Accimap, PCM, STAMP-CAST
0003-6870
103650
Hamim, Omar Faruqe
6b76efdf-685c-4c7c-970e-8d6c11428dda
Hasanat-E-Rabbi, Shahnewaz
e2246d62-88f1-47ed-8658-ac54e055c444
Debnath, Mithun
311ac642-075b-416a-95e3-8ad24ad1f5f8
Hoque, Md Shamsul
a73d71c3-c368-4715-af13-2098f794383c
McIlroy, Rich C
68e56daa-5b0b-477e-a643-3c7b78c1b85d
Plant, Katherine L
3638555a-f2ca-4539-962c-422686518a78
Stanton, Neville A
351a44ab-09a0-422a-a738-01df1fe0fadd
Hamim, Omar Faruqe
6b76efdf-685c-4c7c-970e-8d6c11428dda
Hasanat-E-Rabbi, Shahnewaz
e2246d62-88f1-47ed-8658-ac54e055c444
Debnath, Mithun
311ac642-075b-416a-95e3-8ad24ad1f5f8
Hoque, Md Shamsul
a73d71c3-c368-4715-af13-2098f794383c
McIlroy, Rich C
68e56daa-5b0b-477e-a643-3c7b78c1b85d
Plant, Katherine L
3638555a-f2ca-4539-962c-422686518a78
Stanton, Neville A
351a44ab-09a0-422a-a738-01df1fe0fadd

Hamim, Omar Faruqe, Hasanat-E-Rabbi, Shahnewaz, Debnath, Mithun, Hoque, Md Shamsul, McIlroy, Rich C, Plant, Katherine L and Stanton, Neville A (2022) Taking a mixed-methods approach to collision investigation: AcciMap, STAMP-CAST and PCM. Applied Ergonomics, 100, 103650, [103650]. (doi:10.1016/j.apergo.2021.103650).

Record type: Article

Abstract

Recently, ergonomics and safety researchers have turned their attention towards applying combinations of sociotechnical methods rather than using single methods in isolation. In the current research, a mixed-method approach combining two systems-based methods, Accimaps and the Systems Theoretic Accident Model and Process - Causal Analysis using Systems Theory (STAMP-CAST), and one cognitive approach, the Perceptual Cycle Model (PCM), were employed in analysing a rail-level crossing incident in Bangladesh. Each method was applied individually to investigate the collision, and interventions were proposed corresponding to incident events at different risk management framework levels. The three methods provided different perspectives of the whole picture, together identifying an array of contributory factors. The complementary nature of these methods aided in proposing a comprehensive set of safety recommendations, thereby demonstrating the benefit of a mixed-method approach for collision investigation in low-income settings.

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More information

Accepted/In Press date: 15 November 2021
e-pub ahead of print date: 19 November 2021
Published date: April 2022
Additional Information: Funding Information: In total, STAMP-CAST gave rise to 36 recommendations, Accimap to 24 recommendations, and the PCM analysis to 10 recommendations. The frequency of recommendations proposed at different levels of the system, separated by analysis method, is shown in Fig. 8. The PCM analysis supported recommendations for interventions at only the bottom two levels, as would be expected given its focus on human performance. Also as expected, given their higher-level focus, both Accimap and STAMP-CAST analyses supported the proposal of recommendations at the upper levels as well as at the lower levels of the system.Because of the existence of a failure taxonomy in STAMP-CAST, it was the only model that supported identification of interventions related to feedback mechanisms between system levels. Even though the Accimap can include both control and feedback mechanisms, its lack of taxonomy makes this method more dependent on the judgement of the analyst (Stanton et al., 2019). This can result in the non-identification of feedback failures, as evident from the analysis presented above. We therefore echo Salmon and Read (2019) recommendation that both are used together.This research was funded by the National Institute for Health Research (NIHR; 16/137/122) using UK aid from the UK Government to support global health research. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR or the UK Department of Health and Social Care. Funding Information: This research was funded by the National Institute for Health Research (NIHR; 16/137/122 ) using UK aid from the UK Government to support global health research. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR or the UK Department of Health and Social Care . Publisher Copyright: © 2021 Elsevier Ltd
Keywords: Accimap, PCM, STAMP-CAST

Identifiers

Local EPrints ID: 472357
URI: http://eprints.soton.ac.uk/id/eprint/472357
ISSN: 0003-6870
PURE UUID: 53db9093-6897-4c3a-8cfd-8bd2245f0d22
ORCID for Rich C McIlroy: ORCID iD orcid.org/0000-0003-0326-8101
ORCID for Katherine L Plant: ORCID iD orcid.org/0000-0002-4532-2818
ORCID for Neville A Stanton: ORCID iD orcid.org/0000-0002-8562-3279

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Date deposited: 01 Dec 2022 18:02
Last modified: 17 Mar 2024 03:47

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Contributors

Author: Omar Faruqe Hamim
Author: Shahnewaz Hasanat-E-Rabbi
Author: Mithun Debnath
Author: Md Shamsul Hoque
Author: Rich C McIlroy ORCID iD

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