Using GIS to Identify Pedestrian-Vehicle Crash Hot Spots and Unsafe Bus Stops

Document Type

Journal Article

Publication Date

2011

Subject Area

mode - bus, mode - pedestrian, place - australasia, planning - safety/accidents, technology - geographic information systems

Keywords

bus stop, pedestrian-vehicle crash, accidents, GIS, Adelaide

Abstract

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.

Rights

Permission to publish the abstract has been given by Journal of Public Transportation, copyright remains with them.

Link to Full Text

Share

COinS