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Screening to identify large truck potential blackspots : methodological issues and concerns

Washington, Simon (2011) Screening to identify large truck potential blackspots : methodological issues and concerns. In BEE Transport Seminar Series, 20 June 2011, Queensland University of Technology, Brisbane, Qld. (Unpublished)

Abstract

  1. Overview of hotspot identification (HSID)methods

  2. Challenges with HSID

  3. Bringing crash severity into the ‘mix’

  4. Case Study: Truck Involved Crashes in Arizona

  5. Conclusions

• Heavy duty trucks have different performance envelopes than passenger cars and have more difficulty weaving, accelerating, and braking • Passenger vehicles have extremely limited sight distance around trucks • Lane and shoulder widths affect truck crash risk more than passenger cars • Using PDOEs to model truck crashes results in a different set of locations to examine for possible engineering and behavioral problems • PDOE models point to higher societal cost locations, whereas frequency models point to higher crash frequency locations • PDOE models are less sensitive to unreported crashes • PDOE models are a great complement to existing practice

Impact and interest:

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ID Code: 48823
Item Type: Conference Item (Presentation)
Keywords: Truck blackspots, Methodological issues, Transport
Subjects: Australian and New Zealand Standard Research Classification > BUILT ENVIRONMENT AND DESIGN (120000)
Australian and New Zealand Standard Research Classification > PSYCHOLOGY AND COGNITIVE SCIENCES (170000)
Divisions: Current > Research Centres > Centre for Accident Research & Road Safety - Qld (CARRS-Q)
Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Psychology & Counselling
Copyright Owner: Copyright 2011 Simon Washington
Deposited On: 24 Feb 2012 08:27
Last Modified: 24 Feb 2012 08:28

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