Using GIS to Identify Pedestrian-Vehicle Crash Hot Spots and Unsafe Bus Stops
mode - bus, mode - pedestrian, place - australasia, planning - safety/accidents, technology - geographic information systems
bus stop, pedestrian-vehicle crash, accidents, GIS, Adelaide
This paper presents a GIS approach based on spatial autocorrelation analysis of pedestrian-vehicle crash data for identification and ranking of unsafe bus stops. Instead of crash counts, severity indices are used for analysis and ranking. Moran's I statistic is employed to examine spatial patterns of pedestrian-vehicle crash data.
Getis-Ord Gi* statistic is used to identify the clustering of low and high index values and to generate a pedestrian-vehicle crash hot spots map. As recent studies have shown strong correlations between pedestrian-vehicle crashes and transit access, especially bus stops, bus stops in pedestrian-vehicle crash hot spots are then selected and ranked based on the severity of pedestrian-vehicle crashes in proposed approach is evaluated using 13 years (1996–2008) of pedestrian-vehicle crash data for the Adelaide metropolitan area. Results show that the approach is efficient and reliable in identifying pedestrian-vehicle crash hot spots and ranking unsafe bus stops.
Permission to publish the abstract has been given by Journal of Public Transportation, copyright remains with them.
Truong, L.T., & Somenahalli, S.V.C. (2011). Using GIS to Identify Pedestrian-Vehicle Crash Hot Spots and Unsafe Bus Stops. Journal of Public Transportation, Vol. 14, (1), pp. 99-114.