A proactive approach to identifying high risk road corridors for pedestrians in Auckland, New Zealand
Keywords: Crossings (Pedestrian, School, Rail, Rural/Animal), Pedestrians, Data Linkage, Crash Data Analysis
ACRS
Submission Date: 2019
Abstract
Auckland Transport commissioned the development of network-wide proactive risk model to prioritise pedestrian crossing improvements across Auckland. The location of fatal or serious (FS) pedestrian crashes were compared to the location of pedestrian generators, community facilities and road/roadside attributes. Strong relationships were found between FS injury crashes and three road/roadside attributes. A model was developed to identify roads which were high or moderate risk to pedestrians, with 2.3% of the road network prioritised as high-risk accounting for 23.1% of FS pedestrian crashes. Auckland Transport can now apply this model to prioritise pedestrian crossing improvements across the Region.