TY  - BOOK
AU  -  Liu, Yan
AU  - Wang, Siqin 
AU  -  Fu, Xuanming
AU  - Xie, Bin 
TI  - Network-constrained spatial identification of high-risk roads for hit-parked-vehicle collisions in Brisbane, Australia
PY  - 2019///
PB  - Sage
KW  - Hit-parked-vehicle collision
KW  -  network-constrained spatial statistics
KW  -  local indicator of network-constrained clusters
KW  -  Brisbane
N2  - 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
UR  - https://doi.org/10.1177/0308518X18810531
ER  -