Can a safety-in-numbers effect and a hazard-in-numbers effect co-exist in the same data?

Accident Analysis and Prevention

Volumn 60, Issue , 2013, Pages 57-63

  Elvik, Rune ^a  

^a INSTITUTE OF TRANSPORT ECONOMICS   (Norway)

Author keywords

Co existence of effects; Hazard in numbers; Safety in numbers; Statistical artefact

Indexed keywords

CO-EXISTENCE; DATA SET; HAZARD-IN-NUMBERS; NON-LINEAR RELATIONSHIPS; ROAD USERS; SAFETY-IN-NUMBERS; STATISTICAL ARTEFACT; TRAFFIC VOLUMES;

ACCIDENTS; MOTOR TRANSPORTATION;

HAZARDS;

ARTICLE; CAR DRIVING; CO-EXISTENCE OF EFFECTS; HAZARD-IN-NUMBERS; HUMAN; SAFETY; SAFETY-IN-NUMBERS; STATISTICAL ANALYSIS; STATISTICAL ARTEFACT; STATISTICAL MODEL; STATISTICS; TRAFFIC ACCIDENT;

CO-EXISTENCE OF EFFECTS; HAZARD-IN-NUMBERS; SAFETY-IN-NUMBERS; STATISTICAL ARTEFACT;

ACCIDENTS, TRAFFIC; AUTOMOBILE DRIVING; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, STATISTICAL; SAFETY;

EID: 84883727352     PISSN: 00014575     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aap.2013.08.010     Document Type: Article

References (16)

1. R. Bhatia, and M. Wier Safety in numbers re-examined: can we make valid or practical inferences from available evidence? Accid. Anal. Prev. 43 2011 235 240
2. R.E. Brindle Lies, damned lies and automobile dependence - some hyperbolic reflections Proceedings of ATRF 1994 1994 117 132
3. U. Brüde, and J. Larsson Models for predicting accidents at junctions where pedestrians and cyclists are involved. How well do they fit? Accid. Anal. Prev. 25 1993 499 509
4. R. Elvik The non-linearity of risk and the promotion of environmentally sustainable transport Accid. Anal. Prev. 41 2009 849 855
5. R. Elvik, M.W.J. Sørensen, and T.-O. Nævestad Factors influencing safety in a sample of marked pedestrian crossings selected for safety inspections in the city of Oslo Accid. Anal. Prev. 59 2013 64 70
6. J. Geyer, N. Raford, T. Pham, and D.R. Ragland Safety in numbers. Data from Oakland, CA Transp. Res. Rec. 1982 2006 150 154
7. D.W. Harwood, D.J. Torbic, D.K. Gilmore, C.D. Bokenkroger, J.M. Dunn, C.V. Zegeer, R. Srinivasan, D. Carter, C. Raborn, C. Lyon, and B. Persaud Pedestrian Safety Prediction Methodology. NCHRP Web-only Document 129: Phase III 2008 Transportation Research Board Washington, DC
8. P.L. Jacobsen Safety in numbers: more walkers and bicyclists, safer walking and cycling Injury Prev. 9 2003 205 209
9. T. Jonsson Predictive Models for Accidents on Urban Links. A Focus on Vulnerable Road Users. Bulletin 226 2005 Lund Institute of Technology, Department of Technology and Society, Traffic Engineering Lund (PhD dissertation)
10. J. Knowles, S. Adams, R. Cuerden, T. Savill, S. Reid, and M. Tight Technical Annex to PPR445 Collisions Involving Pedal Cyclists on Britain's Roads: Establishing the Causes 2009 Transport Research Laboratory Wokingham
11. L. Leden Pedestrian risk decrease with pedestrian flow. A case study based on data from signalized intersections in Hamilton, ON Accid. Anal. Prev. 34 2002 457 464
12. C. Lyon, and B.N. Persaud Pedestrian collision prediction models for urban intersections Transp. Res. Rec. 1818 2002 102 107
13. K. Nordback, W.E. Marshall, and B.N. Janson Bicyclist safety performance functions for a US city Paper Presented at 2013 TRB Annual Meeting Washington, DC 2013
14. J. Pucher, and R. Buehler Why Canadians cycle more than Americans: a comparative analysis of bicycling trends and policies Transp. Policy 13 2006 265 279
15. G. Vandenbulcke, I. Thomas, B. Geus, B. De Degraeuwe, R. Torfs, R. Meeusen, and L. Int Panis Mapping bicycle use and the risk of accidents for commuters who cycle to work in Belgium Transp. Policy 16 2009 77 87
16. C.V. Zegeer, J.R. Stewart, H.H. Huang, P.A. Lagerwey, J. Feaganes, and B.J. Campbell Safety effects of marked versus unmarked crosswalks at uncontrolled locations: final report and recommended guidelines Report FHWA-HRT-04-100 2005 Federal Highway Administration Georgetown Pike