A dynamical systems perspective on driver behavior. (May 2019)
- Record Type:
- Journal Article
- Title:
- A dynamical systems perspective on driver behavior. (May 2019)
- Main Title:
- A dynamical systems perspective on driver behavior
- Authors:
- Mirman, Jessica Hafetz
- Abstract:
- Highlights: A dynamical systems account of driver behavior is presented. Driver behavioral development may be emergently generated. Between and within-person aggregation can mask change processes. Detecting phase changes is important for future research. Abstract: Dynamical systems (DS) theoretical and methodological approaches have furthered our understanding of human development and behavior across many different domains, but have not yet been applied to driver behavior. Using a DS lens, a new theory of driver behavior is proposed, the phase transition framework (PTF), and then applied to understanding how novice drivers develop. The PTF can facilitate new lines of research by providing an individual-level explanatory account that yields the widely observed and poorly understood aggregate declines in novice drivers' crash rates in the early months of licensure. For the purpose of the PTF, learning to drive is defined as changes in the psychological system integral to the acquisition, refinement, automation, and maintenance of competencies necessary for safe driving. In the PTF, the greatest reductions in population-level collision rates observed in the early months of the post-licensure period are hypothesized to be due to qualitative cognitive reorganizations (e.g., adoption of strategies that reduce risk) that cause abrupt shifts in crash risk trajectories into lower risk strata followed by refinement of strategy use and deployment through real-world experience.Highlights: A dynamical systems account of driver behavior is presented. Driver behavioral development may be emergently generated. Between and within-person aggregation can mask change processes. Detecting phase changes is important for future research. Abstract: Dynamical systems (DS) theoretical and methodological approaches have furthered our understanding of human development and behavior across many different domains, but have not yet been applied to driver behavior. Using a DS lens, a new theory of driver behavior is proposed, the phase transition framework (PTF), and then applied to understanding how novice drivers develop. The PTF can facilitate new lines of research by providing an individual-level explanatory account that yields the widely observed and poorly understood aggregate declines in novice drivers' crash rates in the early months of licensure. For the purpose of the PTF, learning to drive is defined as changes in the psychological system integral to the acquisition, refinement, automation, and maintenance of competencies necessary for safe driving. In the PTF, the greatest reductions in population-level collision rates observed in the early months of the post-licensure period are hypothesized to be due to qualitative cognitive reorganizations (e.g., adoption of strategies that reduce risk) that cause abrupt shifts in crash risk trajectories into lower risk strata followed by refinement of strategy use and deployment through real-world experience. Critically, the PTF differs from other theories of driver behavior in that it holds that drivers' behavioral development is self-organizing and emergent. … (more)
- Is Part Of:
- Transportation research. Volume 63(2019)
- Journal:
- Transportation research
- Issue:
- Volume 63(2019)
- Issue Display:
- Volume 63, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 63
- Issue:
- 2019
- Issue Sort Value:
- 2019-0063-2019-0000
- Page Start:
- 193
- Page End:
- 203
- Publication Date:
- 2019-05
- Subjects:
- Dynamical systems -- Novice driver safety -- Driver behavior theory
Automobile drivers -- Psychology -- Periodicals
Automobile driving -- Psychological aspects -- Periodicals
Transportation -- Psychological aspects -- Periodicals
629.283019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/13698478 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.trf.2019.04.010 ↗
- Languages:
- English
- ISSNs:
- 1369-8478
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274650
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17366.xml