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<br />Faustman (California Route 40) Field Study (1961)4 and Federal Highway <br />Administration, Reanalysis of Faustman Field Study (1973)' <br />Two studies that appear to have stood the test of time are Faustman's original analysis of <br />California Route 40 and its re-examination by FHW A more than a decade later. The <br />original analysis tried to improve upon previous research by limiting variables, such as <br />roadway geometric design and roadway access controls. The FHW A reanalysis focused <br />on disaggregating the data and converting actual crashes to expected crash rates on <br />specific roadway sections. Each of the sections was given a value based on the number <br />of billboards on the section, A linear regression was perfonned to detennine the <br />expected crash rates. An analysis of variance of the regression coefficients found that the <br />number of billboards on a section was statistically significant. The reanalysis found a <br />strong correlation between the number of billboards and crash rates as shown in Table I. <br /> <br /> <br /> <br />Table ], FHWA Reanalysis of Faustman 's Findings. <br /> <br />o <br />1 <br />2 <br />3 <br />4 <br />5 <br /> <br />Expected No. of <br />Accidents in a <br />5-year Period <br />5.92 <br />6,65 <br />7,38 <br />8.11 <br />8,84 <br />9.57 <br /> <br />Cumulative Increase <br />in Accident Rate <br /> <br />No, of Billboards <br /> <br />]2.3 <br />24.2 <br />37.0 <br />49.3 <br />61.7 <br /> <br />Federal Highway Administration <br />Safety and Environmental Design Considerations in the Use of Commercial <br />Electronic Variable-Message Signage (Wachtel & Netherton, 1980) 6 <br /> <br />This extensive review provides a comprehensive discussion of roadside advertising <br />research as of 1980. The study authors noted "attempts to quantify the impact of roadside <br />advertising on traffic safety have not yielded conclusive results," The authors found that <br />courts typically rule on the side of disallowing billboards because of the "readily <br />understood logic that a driver cannot be expected to give full attention to his driving tasks <br />when he is reading a billboard." Because the distraction evidence is not conclusive, these <br />decisions were generally not based on empirical evidence, <br /> <br />The research review noted that accident reports often cite "driver distraction" as a default <br />category used by uncertain law enforcement officers who must identify the cause of a <br />crash. As a result, the authors believe crashes due to driver distraction are not always <br />properly identified, In addition, law enforcement officers often fail to indicate the precise <br />crash locations on crash reports, making it difficult to establish relationships between <br />crashes and roadside features. <br /> <br />,A8 <br />