Using naturalistic decision making to identify support requirements in the traffic incident management work environment

Cattermole, Vanessa, Horberry, Tim and Hassall, Maureen (2016) Using naturalistic decision making to identify support requirements in the traffic incident management work environment. Journal of Cognitive Engineering and Decision Making, 10 3: 309-324. doi:10.1177/1555343416655509


Author Cattermole, Vanessa
Horberry, Tim
Hassall, Maureen
Title Using naturalistic decision making to identify support requirements in the traffic incident management work environment
Journal name Journal of Cognitive Engineering and Decision Making   Check publisher's open access policy
ISSN 1555-3434
2169-5032
Publication date 2016
Year available 2016
Sub-type Article (original research)
DOI 10.1177/1555343416655509
Open Access Status Not Open Access
Volume 10
Issue 3
Start page 309
End page 324
Total pages 16
Place of publication Thousand Oaks, CA United States
Publisher Sage Publications
Collection year 2017
Language eng
Abstract The road crash environment is a complex, dynamic, and dangerous workplace for responders at the scene. Decisions made by senior officers from responder agencies can alter the survival outcomes of road crash victims and the safety of responder crews. Although no previous studies have utilized naturalistic decision making principles to research traffic incident management, the characteristics of the workplace seem ideally suited to it. This study used critical decision method (CDM) interviews and the recognition-primed decision model to analyze decisions made by experienced senior responders at traffic incidents. CDM interviews were conducted with officers from three agencies: police, emergency services, and road authority traffic officers. The results revealed useful and novel information about the traffic incident management system, for example, interagency coordination issues. The process identified key decision points at incidents as well as countermeasures to the identified issues using decision-centered design. These countermeasures were subsequently validated by subject matter experts.
Keyword Accident analysis
Analysis methods
Cognitive models
Decision making
Expert performance
Naturalistic decision making
Recognition-primed decision making
Crisis response
Domains
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Chemical Engineering Publications
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Created: Fri, 15 Jul 2016, 09:04:14 EST by Maureen Hassall on behalf of School of Chemical Engineering