Traffic Safety Dimensions and the Power Model to Describe the Effect of Speed on Safety

Research output: ThesisDoctoral Thesis (monograph)


Traffic safety work needs different methods and tools in order to choose and evsaluate traffic safety measures. The thesis contributes to this problem by presenting and visualizing a method which describes the traffic safety situation in several dimensions. The method used to describe the traffic safety problem shows the potential of a simultanous presentation and evaluation of these dimensions and demonstrates that the method can be expanded to several dimensions or ratios estimating the exposure, the risk and the consequence. This is illustrated in describing the traffic safety situation for different road user groups and age groups.

The power model, which estimates the relationship between speed and safety, is not a new tool as the model has been used both in theory and pracise in several countries for many years. In the thesis the theoretical and practical background are presented. The power model is here also tested and validated im a cross-sectional study. These analyses show that the power model is valid with regard to injury accidents, fatal accidents and the number of injured but not for the number of fatalities. The power model underestimates the effect on fatalities.


  • Göran Nilsson
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Infrastructure Engineering


  • risk, consequence, dimension, accident rate, injury rqte, speed, speed limit, cross-sectionel, Road transport technology, Safety technology, Vägtransportteknik, Säkerhetsteknik, accidents, Traffic safety, exposure
Original languageEnglish
Awarding Institution
Supervisors/Assistant supervisor
  • [unknown], [unknown], Supervisor, External person
Award date2004 Mar 5
  • Traffic Engineering
Publication statusPublished - 2004
Publication categoryResearch
Externally publishedYes

Bibliographic note

Defence details Date: 2004-03-05 Time: 10:15 Place: Room V:C , John Ericssons väg 1. Lund Institute of Technology. External reviewer(s) Name: Allsop, Richard E. Title: Prof. Affiliation: University College London ---

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