No description available.

This project was initiated to revise the procedures for designation of scenic roads in Arizona. The portions of the procedures which required revision were viewpoint selection and the expert scenic assessment scale. A method for selecting viewpoints was developed based on mapping landscape character types. Three expert scenic assessment scales were evaluated for inclusion in the designation procedure based on the criteria of reliability, validity, generalizability, and utility. Psychology students' global judgements of scenic beauty provided the validity criterion. Three groups of landscape architecture students applied the three expert scales to allow evaluation of the other criteria. All three scales performed well on the selected criteria. The FHWA scale was superior overall. The results suggest that expert scenic assessment scales predict public preferences for a range of landscape types. When the reliability of scenic quality assessment scales is evaluated for the summed dimensions of the scales, reliability is improved substantially compared to previous research.

No description available.

No description available.

No description available.

No description available.

No description available.

The accident rate at an intersection is one attribute used to evaluate the hazard associated with the intersection. Two techniques traditionally used to make such evaluations are the rate-quality technique and a technique based on the confidence interval of classical statistics. Both of these techniques label intersections as hazardous if their accident rate is greater than some critical accident rate determined by the technique. An alternative technique is one based on a Bayesian analysis of available accident number and traffic volume data. In contrast to the two classic techniques, the Bayesian technique identifies an intersection as hazardous based on a probabilistic assessment of accident rates. The goal of this thesis is to test and compare the ability of the three techniques to accurately identify traffic intersections known to be hazardous. Test data is generated from an empirical distribution of accident rates. The techniques are then applied to the generated data and compared based on the simulation results.