Kernel density estimation and K-means clustering to profile road accident hotspots

Identifying road accident hotspots is a key role in determining effective strategies for the reduction of high density areas of accidents. This paper presents (1) a methodology using Geographical Information Systems (GIS) and Kernel Density Estimation to study the spatial patterns of injury related...

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Veröffentlicht in:	Accident analysis and prevention 2009-05, Vol.41 (3), p.359-364
1. Verfasser:	Anderson, Tessa K.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accident Accidents, Traffic - prevention & control Accidents, Traffic - statistics & numerical data Bicycling Circadian Rhythm Cluster Analysis Clustering Environment Design Geographic Information Systems GIS Humans London Policy Walking
Online-Zugang:	Volltext
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