Spatial data aggregation: exploratory analysis of road accidents

I Thomas - Accident Analysis & Prevention, 1996 - Elsevier
Accident Analysis & Prevention, 1996Elsevier
This paper is limited to the “size problem”: it empirically and systematically examines to what
extent the length of road segment influences the statistical description of accident counts
and density. Univariate descriptive statistics are systematically measured for accident count
and ratio, using different motorway segment lengths. A classification of the studied
aggregation levels is proposed leading to three distinct groups of segments: It is suggested
that generalizations made at one level of spatial aggregation may not necessarily hold at …
This paper is limited to the “size problem”: it empirically and systematically examines to what extent the length of road segment influences the statistical description of accident counts and density. Univariate descriptive statistics are systematically measured for accident count and ratio, using different motorway segment lengths. A classification of the studied aggregation levels is proposed leading to three distinct groups of segments: It is suggested that generalizations made at one level of spatial aggregation may not necessarily hold at another level. Conclusions derived at one scale may be invalid at another. The paper shows how important preliminary examination of the data can be, without any sophisticated statistical test. It also shows that one best or unique level of aggregation is not available: it depends upon the objective of the study. Results of any statistical analysis or modelling procedure should be seen as conditional on the scale of the analysis.
Elsevier
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