A spatio-temporal analysis of the impact of congestion on traffic safety on major roads in the UK

A spatio-temporal analysis has been conducted aiming to explore the relationship between traffic congestion and road accidents based on the data on the M25 motorway and its surrounding major roads in England during the period 2003–2007. It was hypothesised that increased traffic congestion may be beneficial to road safety as the number of fatal/killed and serious injury (KSI) accidents would be less due to the low average speed when congestion is present. If this is confirmed, then it poses a potential dilemma for transport policy makers. A series of classical count outcome models (random-effects negative binomial models) and spatial models using a full Bayesian hierarchical approach have been developed in this study in order to examine whether congestion has any effect on the frequency of accidents. The results suggest that increased traffic congestion is associated with more KSI accidents and traffic congestion has little impact on slight injury accidents. This may be due to the higher speed variance among vehicles within and between lanes and erratic driving behaviour in the presence of congestion. In addition, traffic speeds even within congested situations are likely to be relatively high on major roads compared to other parts of the road network. Certain strategies are then proposed to optimise traffic flow which would be beneficial to both congestion and accident reduction.

[1]  Fred L Mannering,et al.  A note on modeling vehicle accident frequencies with random-parameters count models. , 2009, Accident; analysis and prevention.

[2]  J. Hausman Specification tests in econometrics , 1978 .

[3]  Soo-Beom Lee,et al.  Bayesian approach with the power prior for road safety analysis , 2010 .

[4]  Paul P Jovanis,et al.  Analysis of Road Crash Frequency with Spatial Models , 2008 .

[5]  Avishai Ceder Relationships between road accidents and hourly traffic flow—II: Probabilistic approach , 1982 .

[6]  Piet Rietveld,et al.  Congestion and Safety on Highways: Towards an Analytical Model , 1997 .

[7]  Z. Griliches,et al.  Econometric Models for Count Data with an Application to the Patents-R&D Relationship , 1984 .

[8]  T W Forbes,et al.  EFFECT OF AVERAGE SPEED AND VOLUME ON MOTOR-VEHICLE ACCIDENTS ON TWO-LANE TANGENTS , 1953 .

[9]  C. Lave Speeding, Coordination, and the 55 MPH Limit , 1985 .

[10]  D. Shinar,et al.  Aggressive driving: an observational study of driver, vehicle, and situational variables. , 2004, Accident; analysis and prevention.

[11]  David L. Wiesenthal,et al.  The relationship between traffic congestion, driver stress and direct versus indirect coping behaviours , 1997 .

[12]  Jeremy Woolley,et al.  Integration of the global positioning system and geographical information systems for traffic congestion studies , 2000 .

[13]  Hoong Chor Chin,et al.  Applying the random effect negative binomial model to examine traffic accident occurrence at signalized intersections. , 2003, Accident; analysis and prevention.

[14]  F Mannering,et al.  Effect of roadway geometrics and environmental factors on rural freeway accident frequencies. , 1995, Accident; analysis and prevention.

[15]  David J. Spiegelhalter,et al.  WinBUGS user manual version 1.4 , 2003 .

[16]  Tarek Sayed,et al.  Accident prediction models with random corridor parameters. , 2009, Accident; analysis and prevention.

[17]  P. Jovanis,et al.  Spatial analysis of fatal and injury crashes in Pennsylvania. , 2006, Accident; analysis and prevention.

[18]  Bradley P. Carlin,et al.  Bayesian measures of model complexity and fit , 2002 .

[19]  Bryan K Allery,et al.  Relationships between Safety and Both Congestion and Number of Lanes on Urban Freeways , 2008 .

[20]  Robert B Noland,et al.  The effect of infrastructure and demographic change on traffic-related fatalities and crashes: a case study of Illinois county-level data. , 2004, Accident; analysis and prevention.

[21]  J. Wielinski,et al.  Annual Meeting of the Transportation Research Board , 2010 .

[22]  Annibale Biggeri,et al.  A hierarchical Bayesian model for space-time variation of disease risk , 2001 .

[23]  D. Gwynn RELATIONSHIP OF ACCIDENT RATES AND ACCIDENT INVOLVEMENTS WITH HOURLY VOLUMES , 1967 .

[24]  Stefan Brandenburg,et al.  Improving homogeneity by dynamic speed limit systems. , 2010, Accident; analysis and prevention.

[25]  D Shefer,et al.  Congestion, air pollution, and road fatalities in urban areas. , 1994, Accident; analysis and prevention.

[26]  Robert B. Noland,et al.  Congestion and Safety: A Spatial Analysis of London , 2003 .

[27]  Chao Wang,et al.  Impact of traffic congestion on road accidents: a spatial analysis of the M25 motorway in England. , 2009, Accident; analysis and prevention.

[28]  Dominique Lord,et al.  Modeling crash-flow-density and crash-flow-V/C ratio relationships for rural and urban freeway segments. , 2005, Accident; analysis and prevention.

[29]  V. Sisiopiku,et al.  Relationship Between Volume-to-Capacity Ratios and Accident Rates , 1997 .

[30]  Karl Zimmerman,et al.  Bayesian Analysis of the Effect of Horizontal Curvature on Truck Crashes Using Training and Validation Data Sets , 2009 .

[31]  Gary A Davis,et al.  Is the claim that 'variance kills' an ecological fallacy? , 2002, Accident; analysis and prevention.

[32]  Roger Bird,et al.  Exploring Relationship Between Safety and Consistency of Geometry and Speed on British Roads , 2006 .

[33]  Herbert S. Levinson,et al.  Measuring Traffic Congestion , 2015 .

[34]  Andrew P. Jones,et al.  District Variations in Road Curvature in England and Wales and their Association with Road-Traffic Crashes , 2007 .

[35]  Tarek Sayed,et al.  Urban Arterial Accident Prediction Models with Spatial Effects , 2009 .

[36]  M. Quddus Modelling area-wide count outcomes with spatial correlation and heterogeneity: an analysis of London crash data. , 2008, Accident; analysis and prevention.

[37]  Bani K. Mallick,et al.  ROADWAY TRAFFIC CRASH MAPPING: A SPACE-TIME MODELING APPROACH , 2003 .

[38]  J. Besag Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .

[39]  David Shinar,et al.  Aggressive driving: the contribution of the drivers and the situation , 1998 .

[40]  Bhagwant Persaud,et al.  Comparison of empirical Bayes and full Bayes approaches for before-after road safety evaluations. , 2010, Accident; analysis and prevention.

[41]  Fred L. Mannering,et al.  The relationship among highway geometrics, traffic-related elements and motor-vehicle accident frequencies , 1998 .

[42]  Li Zhu,et al.  A GIS-based Bayesian approach for analyzing spatial–temporal patterns of intra-city motor vehicle crashes , 2007 .

[43]  Rashad M Hanbali,et al.  Methodology for Evaluating Effectiveness of Traffic-Responsive Systems on Intersection Congestion and Traffic Safety , 1997 .

[44]  R. B. Albin,et al.  Evaluating Median Crossover Likelihoods with Clustered Accident Counts: An Empirical Inquiry Using the Random Effects Negative Binomial Model , 1998 .