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Using Cognitive Work Analysis to Inform Policy Recommendations to Support Fuel-Efficient Driving

  • Craig K. Allison
  • Neville A. Stanton
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 786)

Abstract

The role of man-made emissions in climate change has been a large focus of academic research and political discussion. One considerable source of emissions is everyday driving, and finding ways to reduce driving emissions is a great challenge. This paper presents the use of Cognitive Work Analysis as a potential tool in helping address this problem. Focusing on Control Task Analysis and Social Organization and Cooperation Analysis, this paper discusses the indirect role governmental organizations can play in reducing driving-related emissions. It is proposed that the use of Cognitive Work Analysis can provide insights not typically garnered from traditional academic literature surrounding eco-driving, including the role governmental organizations can play in reducing everyday emissions.

Keywords

Human factors Cognitive Work Analysis Eco-driving 

Notes

Acknowledgments

This work was funded by the UK Engineering and Physical Sciences Research Council (EPSRC) grant EP/N022262/1 “Green Adaptive Control for Future Interconnected Vehicles” (www.g-active.uk). The authors would like to offer thanks to all participants who gave their time to participate within the workshops presented within the current work. The authors would also like to thank the wider G-ACTIVE project team for their valuable feedback in improving earlier versions of the manuscript.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Faculty of Engineering and the EnvironmentUniversity of SouthamptonSouthamptonUK

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