%0 Journal Article
%T A network
%A Bin Xie
%A Siqin Wang
%A Xuanming Fu
%A Yan Liu
%J Environment and Planning A: Economy and Space
%@ 1472-3409
%D 2019
%R 10.1177/0308518X18810531
%X The severe loss of human life and material damage caused by traffic accidents is a growing concern faced by many countries across the world. In Australia, despite a decline in the total number of traffic collisions since 2001, the number of hit-parked-vehicle (HPV) collisions as a special type of road accident has increased over time. Utilizing the road collisions and roadway network data in Brisbane, Australia over a 10-year period from 2001 to 2010, we generated graphics illustrating the spatial patterning of high-risk road segments for HPV crashes identified using the local indicator of network-constrained clusters (LINCS) approach. These spatial patterns vary by days of the week and times of the day. Roads with high risk for HPV collision tend to occur in high-density road networks and cluster around road intersections. The methodology applied in this work is applicable to other network-constrained point-pattern analysis
%K Hit-parked-vehicle collision
%K network-constrained spatial statistics
%K local indicator of network-constrained clusters
%K Brisbane
%U https://journals.sagepub.com/doi/full/10.1177/0308518X18810531