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The paper uses regression analysis and case studies to investigate design and control factors correlated with accidents on urban arterials. The case study analysis is used because it provides understandable comparisons between sections of arterials carrying similar volume of traffic but having similar or very different number of accidents per mile. The findings indicate that where one or more of the following conditions occur, traffic accidents per mile on urban arterials will most likely decrease: parking is eliminated; the number of traffic signals per mile is reduced; the number of high volume intersections per mile is reduced; traffic volume is reduced; the number of heavily used driveways is reduced; the number of friction points per mile is reduced; and the quality of signing and pavement markings is improved. Traffic accidents per 100 million vehicle miles, an exposure rate, also will most likely decrease where one or more of the conditions given above, except that of traffic volume reduction, occur. This research also substantiates the importance of control of access as an accident reduction tool. Intersections or major driveways are the usual sites of most accidents on urban arterials. Those intersections with four approaches typically are the sites of many more accidents than intersections with three approaches. The multiple linear regression equations developed to predict accidents per mile should be useful in evaluating possible safety benefits from proposed design and control changes.

Correlation of Design Characteristics and Operational Controls with Accident Rates on Urban Arterials