This thesis explores the spatial nature of road collisions within London, UK. There is continuing debate amongst academics and road safety professionals alike as to the most appropriate method of identifying high density locations of road collisions and also of identifying the appropriate data and variables that represent population risk in road environments. This thesis adopts a three stage approach in order to create a typology of collision hotspots and the persons most likely to be involved in incidents at them. The first method links the postcodes of drivers and casualties to geodemographic types in order to understand the types of people in London that are more likely to be involved in a collision and to identify where they are likely to reside. The second method concentrates on defining collision hotspots using kernel density smoothing. The selected hotspots and associated variables are then clustered in order to create a typology of hotspots, using five groups and fifteen clusters. The third and final stage links these two spatial locations together, by ascertaining the geodemographic types which are more likely to be over represented in each of the five groups and fifteen clusters. This makes it possible to develop a clearer and crisper analysis of the road collision risk of the population in London, to classify the capacities in which people are likely to be involved in a collision and to identify where the collision is likely to take place. The outcome is fifteen distinctive types which highlight risk groups across London, suggest the types of collision that they are likely to encounter and identifies where they might occur. This has the potential to be a very useful tool in assisting in road safety policy and initiatives across London.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:487204 |
| Date | January 2007 |
| Creators | Anderson, Tessa Kate |
| Publisher | University College London (University of London) |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://discovery.ucl.ac.uk/1444524/ |
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