Harri Peltola

Does facing traffic improve pedestrian safety

This study was designed to evaluate the potential safety importance of the walking direction along a road by examining pedestrian accidents as a function of exposure to risk. The study was limited to rural two-lane roads with no pavement or pedestrian lane. The accident data included police-reported road accidents from Finland between 2006 and 2010 in which a motorized vehicle had struck a pedestrian walking along the road. There were 18 accidents involving a fatally injured pedestrian and 87 accidents involving a non-fatally injured pedestrian. The exposure data collected from the roughly 3400km included 258 pedestrians. The main finding was that the mean effect of facing traffic compared to walking with traffic was a 77% decrease in fatal and in non-fatal injury pedestrian accidents. The results further showed that the effects were greater for main roads than for secondary roads. The main implication of this study is that information about the importance of facing traffic should be reinforced with specific information about its substantial safety benefits.

A tool for safety evaluations of road improvements

Road safety impact assessments are requested in general, and the directive on road infrastructure safety management makes them compulsory for Member States of the European Union. However, there is no widely used, science-based safety evaluation tool available. We demonstrate a safety evaluation tool called TARVA. It uses EB safety predictions as the basis for selecting locations for implementing road-safety improvements and provides estimates of safety benefits of selected improvements. Comparing different road accident prediction methods, we demonstrate that the most accurate estimates are produced by EB models, followed by simple accident prediction models, the same average number of accidents for every entity and accident record only. Consequently, advanced model-based estimates should be used. Furthermore, we demonstrate regional comparisons that benefit substantially from such tools. Comparisons between districts have revealed significant differences. However, comparisons like these produce useful improvement ideas only after taking into account the differences in road characteristics between areas. Estimates on crash modification factors can be transferred from other countries but their benefit is greatly limited if the number of target accidents is not properly predicted. Our experience suggests that making predictions and evaluations using the same principle and tools will remarkably improve the quality and comparability of safety estimations.