@misc{10481/66242,
year = {2020},
url = {http://hdl.handle.net/10481/66242},
abstract = {To “put oneself in the place of other road users” may improve understanding of the global
traffic situation. It should be useful enabling drivers to anticipate and detect obstacles in time
to prevent accidents to other road users, especially those most vulnerable. We created a
pioneering Hazard Perception and Prediction test to explore this skill in different road users
(pedestrians, cyclists and drivers), with videos recorded in naturalistic scenarios: walking,
riding a bicycle and driving a car. There were 79 participants (30 pedestrians, 14 cyclists, 13
novice drivers and 22 experienced drivers). Sixty videos of hazardous traffic situations were
presented, divided into 2 blocks of 30 videos each: 10 walking, 10 riding a bicycle, 10 driving
a car. In each situation presented, we evaluated the performance of the participants carrying
out the task of predicting the hazard and estimating the risk. In the second block, after they
had carried out the task, we gave them feedback on their performance and let them see the
whole video (i.e., checking what happened next). The results showed that the holistic test
had acceptable psychometric properties (Cronbach’s alpha = .846). The test was able to discriminate between the different conditions manipulated: a) between traffic hazards recorded
from different perspectives: walking, riding a bicycle and driving a car; b) between participants with different user profiles: pedestrians, cyclists and drivers; c) between the two test
blocks: the first evaluation only and the second combining evaluation with this complex intervention. We found modal bias effects in both Hazard Perception and Prediction; and in Risk
Estimation.},
organization = {State Research Agency (SRA)},
organization = {European
Regional Fund (ERDF)},
publisher = {PLOS ONE},
title = {Hazard Perception and Prediction test for walking, riding a bike and driving a car: Understanding of the global traffic situation},
doi = {10.1371/journal.pone.0238605},
author = {Castro Ramírez, Cándida and Muela Aguilera, Ismael and Doncel, Pablo and García Fernández, Pedro},
}