01518874

Component

Data derived from visual inspection of Google Street View imagery associated with a variety of pedestrian and road infrastructure features are analyzed with a database of pedestrian casualties. These features include the presence of sidewalks, buffers between the road and the sidewalk, street lighting, number of travel lanes and the presence of medians, traffic controls at intersections, and posted speed limit. The analysis focuses on how these features affect the severity of a pedestrian casualty once it has occurred. Other controls used in the analysis include the age of the victim, ambient lighting conditions, and whether the vehicle driver was intoxicated. Results suggest that severity of pedestrian casualties is associated with the lack of sidewalks and buffers, high speed roads, roads with six or more lanes and a median, and lack of traffic lighting when it is dark. Casualties are more severe when it is dark than when it is daylight, and older pedestrians tend to have more severe casualties. A key contribution of this work is the use of Google Street View imagery; however a limitation is that the analysis cannot examine the probability of a pedestrian casualty. Implications for road safety are consistent with national efforts to make streets safer via Complete Streets policies.

This paper was sponsored by TRB committee ANF10 Pedestrians.

01503729

14-2640

English

0009-0001-7884-0929

40p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; Photos; References; Tables

Demographics; Fatalities; Highway design; Highway facilities; Image analysis; Injury severity; Pedestrian areas; Pedestrian safety; Pedestrian vehicle crashes; Speed limits; Street lighting

Google Maps

Highways; Pedestrians and Bicyclists; Safety and Human Factors; I82: Accidents and Transport Infrastructure

Transportation Research Board Annual Meeting 2014 Paper #14-2640

TRIS, TRB, ATRI

Jan 27 2014 2:54PM