Using GIS to identify pedestrian-vehicle crash hot spots and unsafe bus stops
Date
2011
Authors
Truong, L.T.
Somenahalli, S.V.C.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
Journal of Public Transportation, 2011; 14(1):99-114
Statement of Responsibility
Conference Name
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'sI 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 their vicinities. The 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.
School/Discipline
Dissertation Note
Provenance
Description
Access Status
Rights
Copyright 2011 Creative Commons License Attribution-NonCommercial 4.0 International license