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CE Home > People > Faculty Directory > Gary A. Davis

Gary A. Davis
Professor

Gary A. Davis

Contact Information:

  • Office: CivE 140
  • Phone: (612)625-2598
  • Fax: (612)626-7750
  • E-mail: drtrips@umn.edu

Research Interests:

Causal inference and impact assessment in traffic safety; application of accident investigation and reconstruction methods to address traffic engineering questions; using Bayesian statistical methods in traffic and transportation engineering; application of optimization methods to problems in traffic engineering and transportation planning.

Selected Publications:

Davis, G.A. and Swenson, T. 2006. Collective responsibility for freeway rear-ending accidents? An application of probabilistic causal models. Accident Analysis and Prevention, in press.

Davis, G.A., Davuluri, S., and Pei, J-P. 2006. Speed as a risk factor in serious run-off road crashes: Bayesian case-control analysis with case speed uncertainty. Journal of Transportation and Statistics, in press.

Davis, G.A. and Pei, J-P. 2005. Bayesian reconstruction of median-crossing crashes and potential effectiveness of cable barriers. Transportation Research Record, 1908: 141-148.

Davis, G.A. 2004. Possible aggregation biases in road safety research and a mechanism approach to accident modeling. Accident Analysis and Prevention, 36: 1119-1127.

Davis, G.A. and Swenson, T. 2004. A field study of gap acceptance by left-turning drivers. Transportation Research Record, 1899: 71-75.

Davis, G.A. 2003. Bayesian reconstruction of traffic accidents. Law, Probability and Risk, 2: 69-89.

Davis, G.A. 2002. Towards a unified approach to causal analysis in traffic safety using structural causal models. Transportation and Traffic Theory in the 21st Century: Proceedings of the 15th International Symposium on Transportation and Traffic Theory, M. Taylor (ed.) Pergamon, 247-65.

Davis, G.A. 2002. Is the claim that ‘variance kills’ an ecological fallacy? Accident Analysis and Prevention, 34: 343-6.

Davis, G.A. 2001. Using Bayesian networks to identify the causal effect of speeding in individual vehicle/pedestrian collisions. Proceedings of 17th Conference on Uncertainty in Artificial Intelligence, J. Breese and D. Koller (eds.) Morgan-Kaufmann, 105-11.

Davis, G.A. 2001. A simple threshold model relating pedestrian injury severity to impact speed in vehicle/pedestrian crashes. Transportation Research Record, 1773: 108-13.

Education:

  • B.A., 1973, Psychology/Philosophy, Eastern Washington University
  • M.S., 1980, Experimental Psychology, Eastern Washington University
  • M.S., 1985, Civil Engineering, University of Washington
  • Ph. D., 1989, Civil Engineering, University of Washington

Experience:

  • Visiting Researcher, Royal Institute of Technology, Stockholm Sweden, 1986-87
 
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