United States Department of Transportation
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Analysis of SHRP2 Speeding Data
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2020-03-01
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[PDF-6.40 MB]
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Edition:Final Report: September 2013-March 2018
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Abstract:Speeding-related crashes continue to be a serious problem in the United States and attempts to address this problem through a variety of approaches have not led to a substantial reduction in speed-related fatalities. A better understanding of speeding behavior is needed to inform the development of new speeding countermeasures. To address this issue, researchers conducted an in-depth investigation of driver speeding behavior using SHRP2 NDS data, which included numerous observations across various situations, environments, and driver characteristics. The research activities encompassed several steps. Sampling and data processing activities were conducted to obtain a set of trips that was suitable for examining multiple aspects of speeding. Key measures were then extracted from the trip data, including: (a) periods in which drivers had an opportunity to speed (which served as an exposure measure), and (b) speeding episodes within those periods. Using these data elements, situational and driver-specific predictors of speeding were examined using descriptive statistics and regression analyses. In addition, speeding episodes were used to identify different types of speeding and to develop a typology of speeders. Five types of speeders were identified, and these groups differed in terms of their aggregate speeding behavior, demographic characteristics, and attitudes about speeding and risk taking.
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