title: A residential location approach to traffic safety: two case studies from Germany.
abstract: This paper aims to spatially differentiate the road accident risk associated with living at a certain place of residence. Official accident data usually record the place the accident occurred, but not the casualties' places of residence. Among those involved in an accident at a certain place there may obviously be some non-residents, such as in-commuters and transients. Hence spatial analysis based on place of accident may not be suitable for drawing conclusions about specific risk levels for people living in certain places. People's risk of encountering an accident in areas other than that where they live may vary with their mobility. We report on two case studies for the German states of North Rhine-Westphalia and Lower Saxony, which are based on casualties' places of residence. We draw on two data sets both of which have specific advantages and disadvantages. From the data we calculate population-based risk figures on the district level and, for Lower Saxony, on the municipality level. For North Rhine-Westphalia these are categorised by age group and transport mode. We also investigate to what extent accident related analyses can be used to estimate residential related risks. The results show that the risk of being killed or seriously injured in a road accident is considerably lower for the population of agglomeration cores than for the suburban and rural population. Macro-economically this means that suburban and rural areas have markedly higher accident costs than cities.
authors.affiliation: Technische Universität Dortmund, Faculty of Spatial Planning, Department of Transport Planning, August-Schmidt-Str. 10, 44227 Dortmund, Germany. joachim.scheiner@tu-dortmund.de
authors.forename: Joachim
authors.initials: J
authors.lastname: Scheiner
authors.forename: Christian
authors.initials: C
authors.lastname: Holz-Rau
mesh_terms: D000063:Accidents, Traffic / Q000401:mortality* / Q000517:prevention & control*; D000293:Adolescent; D000328:Adult; D000368:Aged; D015984:Causality; D003710:Demography; D004779:Environment Design; D005260:Female; D005858:Germany; D006801:Humans; D008297:Male; D008875:Middle Aged; D011156:Population Density; D012306:Risk; D012424:Rural Population / Q000706:statistics & numerical data*; D017751:Safety Management; D014505:Urban Population / Q000706:statistics & numerical data*; D014947:Wounds and Injuries / Q000401:mortality*; D055815:Young Adult