Abstract:
In Portugal, from 2010 to 2016, 97% of the injured pedestrians occurred on streets and roads in urban areas. This study aims to investigate the risk factors associated with various levels of injury severity that pedestrians
experience in the city of Lisbon, Portugal. To accomplish this analysis, a geocoded database on road accidents
and victims occurred in Lisbon between 2008 and 2011 was used.
The analysis was conducted using a multinomial logit model, to estimate pedestrian’ injury outcomes variables,
disaggregated by level of severity. The driver's gender, the pedestrian’s age, the type of pedestrian crossing, the land use characteristics, and the time of day were identified as influential in pedestrian injury severity. It was
also found that, business areas increased the probability of pedestrian death and that serious pedestrian injuries were less likely to occur in the presence of female drivers compared to male drivers.
