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Faustman (California Route 40} Field Study (1961 }4 and Federal Highway <br />Administration, Reanalysis of Faustman Field Study (1973}5 <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 FH«~A more than a decade later. The <br />original analysis tried to improve upon previous research by limiting variables; such as <br />road`~~ay geometric design and roadway access controls. The FH~~JA 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 «~as performed to ,determine the <br />expected crash rates. An azlalysis of variance of the regression coefficients found that the <br />number of billboards on a section «~as statistically significant, The reanalysis found a <br />strong correlation bett~~een the number of billboards and crash rates as sho«~n in Table 1. <br />Table 1. FH7~JA Reanalysis of Faust~nan's Fii~.dil~.gs. <br /> Expected No. of Cumulative Increase <br />No. of Billboards Accidents in a ~ Accident Rate <br /> 5-year Period <br />0 5.92 <br />1 6.65 12.3 <br />2 7.3 8 2~:2 <br /> 8 11 37.0 <br />4 8.84 49.3 <br />5 9.57 61.7 <br />Federal Highway Administration <br />Safety and Environmenfai Design Gonsiderafions in the Use of Commercial <br />Electronic !/ariable-Message Signage (Wachtel & Netherton, 1980) 6 <br />This extensive revie«~ 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 disallo«~ing billboards because of the "readily <br />understood logic that a driver caru~ot 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 />The research review noted that accident reports often cite '`driver distraction" as a default <br />category used by uncertain la«~ 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 bet«~een <br />crashes and roadside features. <br />~$ <br />-216- <br />