Spatial clustering of events on a network

Thérèse Steenberghen, Koen Aerts and Isabelle Thomas

Journal of Transport Geography, 2010, vol. 18, issue 3, 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.

Keywords: Spatial clustering; Road network; Point pattern analysis; Traffic accidents; Traffic safety (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (12)

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Working Paper: Spatial clustering of events on a network (2010)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jotrge:v:18:y:2010:i:3:p:411-418

DOI: 10.1016/j.jtrangeo.2009.08.005

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