TY  - JOUR
PY  - 2019//
TI  - A network-constrained spatial identification of high-risk roads for hit-parked-vehicle collisions in Brisbane, Australia
JO  - Environment and planning A
A1  - Liu, Yan
A1  - Wang, Siqin
A1  - Fu, Xuanming
A1  - Xie, Bin
SP  - 279
EP  - 282
VL  - 51
IS  - 2
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.<p />  <p>Language: en</p>
LA  - en
SN  - 0308-518X
UR  - http://dx.doi.org/10.1177/0308518X18810531
ID  - ref1
ER  -