Digital Commons Network^™

That Bike Is Too Heavy: Merging Bicycling Physics, Human Physiology And Travel Behavior, Alexander Y. Bigazzi

PSU Transportation Seminars

Are the Biketown bikes too heavy? Does better gear motivate people to cycle more? How much faster will someone go on an e-bike?

Although urban cycling is widely known as physically active transportation, the actual physics of cycling have been given little attention in transportation engineering and planning. In contrast, the field of sports science has developed detailed data and models of road bicycle performance, but only for sport and racing cyclists.

What can we learn about utilitarian cycling by integrating knowledge of the physical attributes of bicycles and cyclists?

This seminar examines the ways in which bicycle physics, and …

Countywide Bluetooth System: Use Cases & Performance Measures, Shaun Quayle

PSU Transportation Seminars

Washington County has 124 permanent roadside Bluetooth readers, which passively and in an anonymous fashion collect travel time, speed, and origin-destination information across the major arterials in the urban County. This presentation gives an overview of the program purpose, history, some interesting use cases, and the formation of comparative performance metrics to gauge the magnitude and duration of congestion across the County. These metrics and information will help planners improve travel demand models, consultants improve traffic analyses, operations staff prioritize timing, detection, and maintenance functions, agencies inform traveler information data, and leaders better communicate the story of traffic demand, delay, …

Dynamic Assignment Models And Their Application In The Portland Metro Region, Peter G. Bosa

PSU Transportation Seminars

Metro's Research and Modeling Services Program is responsible for the development, maintenance, and application of travel demand models for application in long-range planning efforts in the Portland metropolitan region.

Representation of traffic—both vehicular and transit—plays an integral role in the travel demand modeling process. Complex software is required to assign vehicles and transit users to transportation networks to determine viable options available to travelers, costs associated with those options, and sets of routes by which travelers might navigate their trips.

Metro's current static assignment model has traditionally sufficed for use with Metro's four-step travel demand model. However, static assignments have …

Big Data And The Future Of Travel Modeling, Greg Macfarlane

PSU Transportation Seminars

New technologies such as smart phones and web applications constantly collect data on individuals' trip-making and travel patterns. Efforts at using these "Big data" products, to date, have focused on using them to expand or inform traditional travel demand modeling frameworks; however, it is worth considering if a new framework built to maximize the strengths of big data would be more useful to policy makers and planners.

In this presentation Greg Macfarlane will present a discussion on elements of travel models that could quickly benefit from big data and concurrent machine learning techniques, and results from a preliminary application of …

Exploring The Positive Utility Of Travel And Mode Choice, Patrick Allen Singleton

PSU Transportation Seminars

Why do people travel? We traditionally assume traveling is a means to an end, travel demand is derived (from the demand for activities), and travel time is to be minimized. Recently, scholars have questioned these axioms, noting that some people may like to travel, use travel time productively, enjoy the experience of traveling, or travel for non-utilitarian reasons. The idea that travel can provide benefits and may be motivated by factors beyond reaching activity destinations is known as “the positive utility of travel” or PUT.

This study presents a conceptual and empirical look at the positive utility of travel and …

Rerouting Mode Choice Models: ​H​Ow Including Realistic Route Options Can Help Us Understand Decisions To Walk Or Bike, Joseph Broach

PSU Transportation Seminars

For a number of reasons—congestion, public health, greenhouse gas emissions, energy use, demographic shifts, and community livability to name a few—the importance of walking and bicycling as transportation options will only continue to increase. Currently, policy interest and infrastructure funding for nonmotorized modes far outstrip our ability to successfully model bike and walk travel. In the past five years, we have learned a lot about where people prefer to bike and walk, but what can that tell us about whether people will bike or walk in the first place? The research presented here is designed to start bridging the gap …

The Theory Of Travel Decision-Making: A Conceptual Framework Of Active Travel Behavior, Patrick Allen Singleton

PSU Transportation Seminars

We present a unifying conceptual framework of active travel behavior called the theory of travel decision-making. It integrates seminal travel-related concepts from economics, geography, and psychology with active travel behavior theories and empirical research. The framework abstracts an individual’s thought process around short-term travel decisions and explains the roles of activities, built environment factors, socio-demographics, attitudes and perceptions, and habit. Our primary objective is to inform travel behavior research by meeting the need for a theoretical framework capable of guiding studies on active transportation. The framework could also support active transportation planning and analysis methods by informing the development of …

Bicycling Is Different: Built Environment Relationships To Nonwork Travel, Christopher D. Muhs

PSU Transportation Seminars

There is growing investment in infrastructure to support non-motorized travel modes in the United States, in particular for bicycling. However, there remains a dearth of knowledge on the relationships between built environments and bicycling for non-work transportation. This issue is exacerbated by researchers and practitioners continuing to combine walking and bicycling into the category “non-motorized modes,” despite the two having many differences. This paper addresses these shortcomings through a segmented analysis of mode choice and mode share for walking, bicycling, and automobile travel. The data used are from a 2011 establishment intercept survey in the Portland, Oregon region and are …