How cyclist behavior affects bicycle accident configurations?

In many major cities, bicycle usage is on the increase and cycling safety is becoming a critical issue. Most of the existing studies are based on police data which understate both single-bicycle accidents as well as cyclist victims. In France, an estimation based on a road trauma database reveals that cyclists are 8 times more likely to be injured per hour spent on the road compared to motorists. To give a full picture of cycling accidents, as well as to understand how cyclist behavior interacts with other factors in causing accidents, we surveyed all injured cyclists in the period 2009–2011, as identified in a medical database of road trauma victims in a French territorial “départment” (the Rhône, capital city Lyon).Using classification methods we build a typology of 17 recurring configurations of cycling collisions and single-bicycle accidents: 7 concern utilitarian riding (commuting…), 3 concern recreational riding and 7 concern cycling as a sporting activity. A Multiple Correspondence Analysis (MCA) is then used to check the consistency of this typology, and to gain additional insight on road user behavior by projection of supplementary variables.External factors contributing to cycling accidents, such as “bad weather” (13%) or “riding at night” (14%), roadway configuration such as “cycling infrastructure” (16%) or “intersections” (25%), and cyclist behavior such as “alcohol consumption” (5%) or “speed” (25%) are discriminatory variables that interact in many accident configurations. This study shows how road user behavior-influences each step in the chain of events leading to an accident. In the discussion of study results, some recommendations are made to public authorities aimed at improving cyclist safety.     

Do internals speed less and externals speed more to cope with the death anxiety?

Past research has showed that mortality salience (MS) increases reckless driving and speeding when the individual perceives driving to be relevant to his or her self-esteem. We claimed that drivers’ control orientations also play a significant role in the relationship between MS and speeding. We hypothesized that both a general desirability of control and traffic locus of control (T-LOC) would moderate the effect of MS on speeding. We tested our hypothesis using an online experiment on a sample of 208 young male drivers. Participants were exposed to either mortality or dental pain salience, and they filled out desirability of control, T-LOC, and self-report speeding measures. The results showed that, for individuals with low desirability of control, MS increased preferred speed and decreased intention to comply with speed limit and the percentage of time complied with the speed limit on urban roads with 50 km/h speed limit. For individuals with high desirability of control, on the other hand, MS increased intention to comply with the speed limit on rural roads and percentage of the time complied with the speed limit on both urban and rural roads. In contrast, the interaction between MS and T-LOC showed that an external T-LOC is positively associated with both intention to comply and the percentage of the time complied with the speed limits only on rural roads with 90 km/h.     

The analysis of drivers’ hazard detecting ability using Empathizing–Systemizing model

Since there are drivers who repeatedly have accidents, this research postulated that the lack of hazard perception which is a primary cause of accidents might be determined by individual differences in cognitive traits. The Empathizing–Systemizing (E–S) model was used for the cognitive traits, with Empathizing expected to correspond to ability at hazard perception and fewer accidents and/or incidents (near-accidents). On the other hand, Systemizing was not expected to contribute to them. A web questionnaire was conducted to collect data of accidents and incidents experienced during ordinary driving, and this was analyzed. The results showed that drivers with higher Empathy Quotient (EQ) experienced fewer accidents and incidents. The Systemizing Quotient (SQ) had no significant effect on these experiences. However, the experience of incidents by drivers with high Systemizing Quotient increased when their Empathy Quotient was low. Based on these results, it was suggested that drivers who have a stronger Empathizing function may have a stronger ability at hazard perception. On the other hand, the Systemizing function may weaken hazard perception ability when Empathizing is weak, although it does not have an independent effect.     

Does the effect of traffic calming measures endure over time? – A simulator study on the influence of gates

Accident statistics show that transitions from rural to urban areas are accident prone locations. Inappropriate speed and mental underload have been identified as important causal factors nearby such transitions. A variety of traffic calming measures (TCM) near rural–urban transitions has been tested in field experiments and driving simulator studies. Simulator experiments repeatedly exposing participants to the same treatment are scarce, hence it is unclear to what extent the effects of a TCM endure over time.This is precisely the objective of the current study: to examine what happens with the behavior of drivers when they are exposed multiple times to the same treatment (in this case a gate construction located at a rural–urban transition). Over a period of five successive days, seventeen participants completed a 17 km test-drive on a driving simulator with two thoroughfare configurations (gates present or absent) in a within-subject design. Results indicate that gates induced a local speed reduction that sustained over this five-day period. Even though participants were inclined to accelerate again once passed by this gate configuration, they always kept driving at an appropriate speed. We did not find any negative side effects on SD of acceleration/deceleration or SDLP.Overall we conclude that gate constructions have the potential to improve traffic safety in the direct vicinity of rural–urban transitions, even if drivers are repeatedly exposed. Notwithstanding, we advise policy makers to appropriately use this measure. Best is to always carefully consider the broader situational context (such as whether the road serves a traffic- rather than a residential function) of each particular location where the implementation of a gate construction is one of the options.