A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy-vehicle transport system. (December 2015)
- Record Type:
- Journal Article
- Title:
- A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy-vehicle transport system. (December 2015)
- Main Title:
- A model for exploring the relationship between payment structures, fatigue, crash risk, and regulatory response in a heavy-vehicle transport system
- Authors:
- Thompson, Jason
Newnam, Sharon
Stevenson, Mark - Abstract:
- Highlights: Payment methods were altered in a simulated agent-based models of a freight system. Simulated drivers on 'piece-rate' pay showed higher rates of crashes and fatigue. The simulated freight system generated similar patterns of results to real-world studies. Agent-based models can provide effective means of understanding complex systems. Agent-based models can be used as a complement to existing static system representations. Abstract: Investigations of heavy vehicle crashes have predominantly taken a reductionist view of accident causation. However, there is growing recognition that broader economic factors play a significant role in producing conditions that exacerbate crash risk, especially in the area of fatigue. The aim of this study was to determine whether agent-based modelling (ABM) may be usefully applied to explore the effect of driver payment methods on driver fatigue, crash-risk, and the response of enforcement agencies to major heavy-vehicle crashes. Simulation results showed that manipulation of payment methods within agent-based models can produce similar patterns of behaviour among simulated drivers as that observed in real world studies. Simulated drivers operating under 'per-km' and 'per-trip' piece rate incentive systems were significantly more likely to drive while fatigued and subsequently incur all associated issues (loss of license, increased crash risk, increased fines) than those paid under 'flat-rate' wage conditions. Further, the patternHighlights: Payment methods were altered in a simulated agent-based models of a freight system. Simulated drivers on 'piece-rate' pay showed higher rates of crashes and fatigue. The simulated freight system generated similar patterns of results to real-world studies. Agent-based models can provide effective means of understanding complex systems. Agent-based models can be used as a complement to existing static system representations. Abstract: Investigations of heavy vehicle crashes have predominantly taken a reductionist view of accident causation. However, there is growing recognition that broader economic factors play a significant role in producing conditions that exacerbate crash risk, especially in the area of fatigue. The aim of this study was to determine whether agent-based modelling (ABM) may be usefully applied to explore the effect of driver payment methods on driver fatigue, crash-risk, and the response of enforcement agencies to major heavy-vehicle crashes. Simulation results showed that manipulation of payment methods within agent-based models can produce similar patterns of behaviour among simulated drivers as that observed in real world studies. Simulated drivers operating under 'per-km' and 'per-trip' piece rate incentive systems were significantly more likely to drive while fatigued and subsequently incur all associated issues (loss of license, increased crash risk, increased fines) than those paid under 'flat-rate' wage conditions. Further, the pattern of enforcement response required under 'per-km' and 'per-trip' systems was significantly higher in response to greater numbers of major crashes than in flat-rate regimes. With further refinement and collaborative design, ABMs may prove useful in studying the potential effects of economic policy settings within freight or other transport systems ahead of time. … (more)
- Is Part Of:
- Transportation research. Volume 82(2015)
- Journal:
- Transportation research
- Issue:
- Volume 82(2015)
- Issue Display:
- Volume 82, Issue 2015 (2015)
- Year:
- 2015
- Volume:
- 82
- Issue:
- 2015
- Issue Sort Value:
- 2015-0082-2015-0000
- Page Start:
- 204
- Page End:
- 215
- Publication Date:
- 2015-12
- Subjects:
- System -- Safety -- Agent-based-models -- Heavy-vehicles -- Transport -- Work
Transportation -- Research -- Periodicals
388.011 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09658564 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.tra.2015.09.016 ↗
- Languages:
- English
- ISSNs:
- 0965-8564
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9026.274604
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1069.xml