National Institute for Transportation and Communities

PRESENTATION ARCHIVE

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OVERVIEW

Connecting with cities and bike share operators from across the United States, Portland State University conducted a nationwide scan on what programs and initiatives were running to address equity in bike share. The report “National Scan of Bike Share Equity Programs” documents responses from over 70 bike share systems. This resource will help cities and operators navigate the range of actions that have been implemented to make bike share systems more equitable, examine successful strategies employed across the U.S., and understand how those successes (and challenges) are being measured and articulated. In doing so, we hope the report helps bike share systems learn from the experiences of others, innovate, and more quickly move toward greater equity. The research team will be joined by a bike share operator to discuss what they learned, best practices, and where they see the future of bike share equity programs headed.

THE RESEARCH

This webinar is based on a study funded by the Better Bike Share Partnership and the National Institute for Transportation and Communities (NITC) and conducted at...

Transportation mode choice is often expressed in terms of models which assume rational choice; psychological case studies of mode adoption are comparatively rare. We present findings from a study of the psychology of adoption for sustainable transportation modes such as bicycles, car sharing, and mass transit. Case studies were conducted with current and former participants in PSU’s ‘Passport Plus’ transit pass program, as well as a longitudinal cohort study of first-time winter bicycle commuters. Composite sequence analysis was used to construct a theory of the adoption process for these modes. Our findings suggest that mode evaluation is cognitively distinct from mode selection and has different information requirements. We conclude that public and private organizations could improve the adoption rate for these modes by tailoring their communication strategies to match the commuter’s stage of adoption.

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The video begins at 9:01.

PRESENTATION ARCHIVE

• Video
• Presentation Slides
• PDH Certificate

OVERVIEW

The aim of this research is to investigate pedestrian behavior at signalized intersections using state-of-the-art LIDAR sensing technologies and to use this data, along with vehicular data, to develop a more effective multimodal signal control system.

In the presentation, the presenters will describe a novel method of collecting pedestrian crossing behaviors at signalized intersection, discuss the findings and implications of data analytics, and introduce a novel approach to dynamic flashing yellow arrow mechanisms to reduce the conflict between left turn vehicles and crossing pedestrians.

KEY LEARNING OUTCOMES

• Understand the framework of LiDAR sensing solutions;
• Understand how to collect pedestrian behaviors at intersections;
• Understand how to provide new protection for crossing pedestrians with object-tracking technologies.

THE RESEARCH

This webinar is based on a study funded by the National Institute...

The video begins at 1:44.

Oliver Smith (USP PhD) - Peak of the day or the daily grind? Commuting and subjective well-being

To understand the impact of daily travel on personal and societal well-being, measurement techniques that go beyond satisfaction-based measures of travel are used. Such metrics are increasingly important for evaluating transportation and land-use policies. This study examines commute well-being, a multi-item measure of how one feels about the commute to work, and its influences using data from a web-based survey that was distributed to Portland, Oregon, U.S.A. workers. Valid surveys (n=828) were compiled from three roughly equally sized groups based on mode: bike, transit and car users. Average distances between work and home varied significantly among the three groups. Descriptive results show that commute well-being varies widely across the sample. Those who bike to work have significantly higher commute well-being than transit and car commuters. A multiple linear regression model shows that along with travel mode, traffic congestion, travel time, income, health, job satisfaction and residential satisfaction also play important individual roles in shaping commute well-being. While more analysis is needed, these results support findings in previous research that commuting by bike enhances well-being while congestion detracts from well-being. Implications...