Road Congestion and Incident Duration

Non-recurrent congestion is frequently caused by accidents and other incidents. We estimate the causal effect of incident duration on drivers' time losses through changes in non-recurrent road congestion on Dutch highways. We demonstrate that incident duration has a strong positive, but concave, effect on non-recurrent congestion. The duration elasticity of non-recurrent congestion is about 0.35 implying that a one minute duration reduction generates a €57 gain per incident. We also show that at locations with high levels of recurrent congestion, non-recurrent congestion levels are considerably higher. At very congested locations, the benefit of reducing the incident duration by one minute is about €1200 per incident. Public policies that prioritize duration reductions at congested locations are therefore more beneficial.

[1]  Fred L. Mannering,et al.  Are Incident Management Programs Effective? Findings from Washington State , 1999 .

[2]  G. Giuliano INCIDENT CHARACTERISTICS, FREQUENCY, AND DURATION ON A HIGH VOLUME URBAN FREEWAY , 1989 .

[3]  C. B. Mcguire,et al.  Studies in the Economics of Transportation , 1958 .

[4]  J. G. Wardrop,et al.  Some Theoretical Aspects of Road Traffic Research , 1952 .

[5]  K. Small,et al.  Marginal Congestion Cost on a Dynamic Expressway Network , 2012 .

[6]  Fred L. Mannering,et al.  An exploratory hazard-based analysis of highway incident duration , 2000 .

[7]  Jung-Taek Lee,et al.  Influential Factors in Freeway Crash Response and Clearance Times by Emergency Management Services in Peak Periods , 2005, Traffic injury prevention.

[8]  F Mannering,et al.  Analysis of the frequency and duration of freeway accidents in Seattle. , 1991, Accident; analysis and prevention.

[9]  P. Rietveld,et al.  Optimising Incident Management on the Road , 2011 .

[10]  M. Snelder,et al.  Delays Caused by Incidents , 2013 .

[11]  J. Wardrop ROAD PAPER. SOME THEORETICAL ASPECTS OF ROAD TRAFFIC RESEARCH. , 1952 .

[12]  P. Nijkamp,et al.  Variable message signs and radio traffic information: An integrated empirical analysis of drivers' route choice behaviour , 1996 .

[13]  Phil. Goodwin,et al.  The economic costs of road traffic congestion , 2004 .

[14]  S. Peer The economics of trip scheduling, travel time variability and traffic information , 2013 .

[15]  J. Heckman Sample selection bias as a specification error , 1979 .

[16]  Fred L. Mannering,et al.  ASSESSING THE TRAFFIC IMPACTS OF FREEWAY INCIDENTS AND DRIVER INFORMATION , 1990 .

[17]  C. Winston,et al.  The value of automobile travel time: implications for congestion policy , 1998 .

[18]  C Terence,et al.  The Value of Time and Reliability: Measurement from a Value Pricing Experiment , 2003 .

[19]  D. Scrafton Still Stuck in Traffic: Coping with Peak-hour Traffic Congestion, Anthony Downs, Brookings Institution Press, Washington, D.C., 2004, ISBN 0 8157 1929 9, xi + 455 pages, (pbk), £19.50, $28.95 , 2005 .

[20]  K. Small,et al.  The Economics Of Traffic Congestion , 1993 .

[21]  Randolph W. Hall,et al.  Non-recurrent congestion: How big is the problem? Are traveler information systems the solution? , 1993 .

[22]  Muhammad Sabir Weather and travel behaviour , 2011 .

[23]  Kenneth A. Small,et al.  The Value of Time and Reliability: Measurement from a Value Pricing Experiment , 2001 .

[24]  Jeffrey M. Wooldridge,et al.  Introductory Econometrics: A Modern Approach , 1999 .

[25]  K. Small,et al.  The economics of urban transportation , 2007 .

[26]  A. Downs Stuck in Traffic: Coping with Peak-Hour Traffic Congestion , 1992 .