Friday Transportation Seminars at Portland State University have been a tradition since 2000. With over 450 seminars presented and recorded (access the archive of seminars here), we host both visiting and local scholars to share the latest in research, technology, and implementation in transportation.
Miss the seminar or want a look back? You can view the presentation slides here.
Too often, there is a gap between research and action. For researchers, peer-reviewed scientific evidence is the benchmark of success, while for policy makers and practitioners, success is being able to apply findings in the ‘real world’.
Dr Marilyn Johnson is both a senior researcher at Monash University and a practitioner at the Amy Gillett Foundation, Australia’s not-for-profit cycling safety organisation. The seminar will be a speed-dating style presentation of the latest research studies on cycling in Australia...Read more
Innovation adoption research has largely ignored organizational adoption, and little work has been done to understand or predict the adoption of innovations by freight organizations. Among the existing innovation adoption theoretical and methodological approaches this seminar will explore which are most appropriate methods for freight organizational adoption. The seminar will present a disaggregate market penetration model for freight transportation organizations adopting connected autonomous vehicle (CAV) technology and demonstrate an an application using a case study area in Memphis, TN. The seminar will highlight ongoing and future organizational adoption research for CAVs, and other innovations.
KEY LEARNING OUTCOMES
- What are some of the evolving technologies affecting freight transportation?
- Overview of adoption models for organizations
- Analysis of organizational adoption considering one example innovation
Social marketing seeks to develop and integrate marketing concepts with other approaches to influence behaviors that benefit individuals and communities for the greater social good. It is a useful transportation demand management (TDM) planning approach to promote travel behavior change. The purpose of this study was to explore a consumer market segmentation technique successfully used in Europe for its applicability to marketing efforts in the United States. Attitudinal and demographic data were collected from 1900 individuals in Florida, Oregon, and Virginia modeled after the European approach. Clustering analysis was applied to divide the sample into segments so that members of the same group share similar attitudes. These include attitudes about various modes, car use, and congestion and environment. A classification model was built to predict group membership. The most stable and distinctive segmentation resulted in 7 segments. From this list of over 100 attitudinal questions, 17 questions were found to separate segments most significantly and predict group membership with high level of accuracy. Attitudinal profiles for each group were developed based on thee mean responses to these “golden questions”. This webinar will discuss the method and results.
KEY LEARNING OUTCOMES
At the end of this webinar, the learner will be able to:
The long-term vision and promise of connected vehicles is to use communication between vehicles, and between vehicles and infrastructure, to improve the safety and efficiency of our transportation network.
Larry Head, University of Arizona
Larry Head is the Interim Dean of the College of Engineering and a Professor of Systems and Industrial Engineering at the University of Arizona. He has over 25 years of systems engineering experience related to adaptive traffic signal control, signal priority, and connected and automated vehicle systems. He serves on the Arizona Governor’s Task Force for Self -Driving Vehicles, is a member of the Transportation Research Board (TRB) Freeway Operations Committee and Intelligent Transportation Systems Committees, and a member of the SAE DSRC Technical Committee. He is an Associate Editor of Transportation Research – Part C. He is a member of TRB, SAE, INFORMS, IISE, and IEEE.... Read more