01123073

Component

https://doi.org/10.3141/2136-08

http://scholar.google.com...oyce&publication_year=2009

Advances in geographic information system (GIS) software and exploratory spatial data analysis (ESDA) techniques give transportation safety engineers tools to observe and analyze safety-related data from a new perspective. This research takes the use of GIS software and ESDA techniques one step further by incorporating advanced statistical techniques for a more thorough and complex analysis of safety data. This is achieved by implementing a network-constrained cross K-function to analyze the relationship between bridges and the occurrences of ice-related crashes within a county. The counties in Wisconsin included in the analysis were selected through the use of the local Moran’s I statistic; this statistic allows for the selection of counties within the same geographical area, which have similar parameters (in this case, ice-related crash rates). The objective of this research is to explore the relationship between ice-related crashes and bridges in counties that display similar ice-related crash rates, to compare and analyze winter maintenance techniques. The results identify clustering of ice-related crashes around bridges in four counties with similar ice-related crash rates in southeast Wisconsin. Similarly, two of four counties show clustering of ice-related crashes around bridges in northwest Wisconsin. These results make a strong case to suggest that counties in these regions should focus additional winter maintenance efforts at bridge locations. In addition, this research shows how the use of advanced spatial statistical techniques, particularly network-based statistics applied within a GIS environment, can be used as a unique and innovative approach toward safety data analysis.

01147883

09-3674

English

pp 67-76

2009

Transportation Research Record: Journal of the Transportation Research Board

9780309142656

Print

Figures (4) ; References (14) ; Tables (1)

Black ice; Counties; Geographic information systems; Highway bridges; Lattices (Mathematics); Maintenance management; Snow and ice control; Traffic crashes; Winter maintenance

Exploratory Spatial Data Analysis

Wisconsin

Data and Information Technology; Highways; Maintenance and Preservation; Safety and Human Factors; I62: Winter Maintenance; I80: Accident Studies

TRIS, TRB, ATRI

Jan 30 2009 8:06PM

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