TY - CONF AB - <p>Various systems exist to classify roadway environments; however most do not consider driver-relevant perceptual components. A perceptually based roadway classification system has the potential to support the placement of signage (or removal of extraneous clutter) in the right-of-way as a means to enhance driver performance. The present study sought to determine which environmental factors are attended to by roadway users. Thirteen participants first rated the similarity of 14 roadway environments and then rated each environment on 5 different descriptors (built-up, clutter, openness, aesthetically pleasing, organized/predictable). The resultant data were analyzed using a methodology rarely taken advantage of in the field of transportation: Multidimensional Scaling (MDS). MDS revealed the participants relied on two primary dimensions when rating the similarity of the roadway environments. These two dimensions related closely with: 1) organization/predictability and 2) clutter and aesthetics. This methodology provides a simple way to gain access to drivers’ perceptions of the roadway environment and appears to be a promising first step toward developing a user-focused roadway classification system.</p> AU - Stacy Balk, Vaughan Inman, William Perez DA - 2011/6// DO - 10.17077/drivingassessment.1392 IS - 2011 VL - 6 PB - University of Iowa PY - 2011 TI - Developing a Driver-Centric Roadway Classification System with
Multidimensional Scaling T2 - Driving Assessment Conference UR - https://pubs.lib.uiowa.edu/driving/article/id/28616/ ER -