@article{ref1,
title="Spatial clustering of events on a network",
journal="Journal of transport geography",
year="2010",
author="Steenberghen, Thérèse and Aerts, Koen and Thomas, Isabelle",
volume="18",
number="3",
pages="411-418",
abstract="In this paper a methodology is proposed to compute spatial concentrations of point-based events on a network. The distance along the network is used as a measure of the spatial closeness of events. The network is divided into statistical units, based on a random distribution of points of measurement and corresponding network segments, which are the statistical units of reference. For each segment a dangerousness index is computed which indicates the distance-weighted number of traffic accidents in the neighbourhood. The statistical significance of clusters of accidents is tested using a Monte Carlo simulation. The methodology is applied to traffic accidents to detect dangerous locations on the road network of the city of Brussels in Belgium.<p />",
language="",
issn="0966-6923",
doi="10.1016/j.jtrangeo.2009.08.005",
url="http://dx.doi.org/10.1016/j.jtrangeo.2009.08.005"
}