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A significant difference was observed in the perceived probability to successfully turn among the inexperienced drivers who did and did not crash even though there was no significant difference in drivers' risk attitudes among the two groups.
Before and after mean speed of Sedan and SUVs vehicles were analyzed separately as well as together to investigate the difference in drivers of Sedan and SUVs vehicles.
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The difference in driver's stop/go decisions at the countdown and non-countdown timer installed intersections were investigated with binary-logistical regression analysis.
However, other more subtle differences in drivers and the driving environment by vehicle type may affect our results.
Based on a nationwide survey conducted to road users in interurban toll roads in Spain, we develop a multilevel logit model to explore regional differences in drivers' perceptions.
A comparison of floodplain status and options for restoration in the Upper and Lower Danube shows clear differences in drivers and pressures, but certain common options apply in both sections if the local context of stakeholders and societal needs are considered.
At sites where forward visibility was restricted due to the topography or road geometry, there were pronounced differences in drivers' lane position, speed, and the number of vehicles overtaken.
Although this gives important information on the status on global forest resources; inconsistencies in methods and definitions, differences in drivers of forest transitions, and varying degrees of development between and within nations, raise questions on the reliability of forest statistics while highlighting the importance of remote sensing of forest resources [4, 7 11].
In order to compare the differences in drivers of CO2 emissions between Austria and Czechoslovakia, we use the standard Kaya identity (Kaya, 1989; Waggoner and Ausubel, 2002; Canadell et al., 2007).
Although this gives important information on the status on global forest resources; inconsistencies in methods and definitions, differences in drivers of forest transitions, and varying degrees of development between and within nations, raise questions on the reliability of forest statistics while highlighting the importance of remote sensing of forest resources [ 4, 7- 11].
It also considers factors like crosswinds and road condition, so as not to be misled by differences in driver response that are related to weather or terrain.
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