Citation

Steenberghen T, Aerts K, Thomas I. J. Transp. Geogr. 2010; 18(3): 411-418.

Copyright

(Copyright © 2010, Elsevier Publishing)

DOI

10.1016/j.jtrangeo.2009.08.005

PMID

unavailable

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.