Social and Behavioral Sciences Commons^™

Transportation Mode Choice Behavior In The Era Of Autonomous Vehicles: The Application Of Discrete Choice Modeling And Machine Learning, Sangwan Lee

Dissertations and Theses

New mobility technologies, such as shared mobility services (e.g., car-sharing) and, more importantly, autonomous vehicles (AVs), continue to evolve. The supply-side advancement will likely disrupt and transform transportation mode choice behaviors, and create a new paradigm since they are emerging and becoming increasingly feasible alternatives to the existing modes of transportation. Accordingly, this dissertation employs discrete choice modeling (DCM) and machine learning (ML) using a U.S. nationwide stated choice experiment to understand how travelers adopt new transportation modes or continue to use conventional modes of transportation.

This dissertation consists of three papers. The first examines future market shares of each …

Recent Advances In Activity-Based Travel Demand Models For Greater Flexibility, Kihong Kim

Dissertations and Theses

Most existing activity-based travel demand models are implemented in a tour-based microsimulation framework. Due to the significant computational and data storage benefits, the demand microsimulation allows a greater amount of flexibility in terms of demographic market segmentation, temporal scale, and spatial resolution, and thus the models can represent a wider range of travel behavior aspects associated with various policies and scenarios. This dissertation proposes three innovative methodologies, one for each of the three key dimensions, to fulfill the greater level of details toward a more mature state of activity-based travel demand models.

Development Of The Idaho Statewide Travel Demand Model Trip Matrices Using Cell Phone Od Data And Origin Destination Matrix Estimation, Ben Stabler

PSU Transportation Seminars

As part of the initial phase of development for the Idaho Statewide Travel Demand Model, Parsons Brinckerhoff developed a base year auto and truck trip matrix using AirSage cell phone OD data, a statewide network in Cube, traffic counts, and origin-destination matrix estimation (ODME) procedures. To begin, the 4000+ statewide zone system was aggregated into a 700 super zone system for collecting the cell phone OD data. Next, the cell phone data was collected for the month of September 2013 for the following market segments: Average weekday resident HBW, HBO, NHB, and visitor NHB trips. The cell phone trips were …

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 …

Travel Mode Choice Framework Incorporating Realistic Bike And Walk Routes, Joseph Broach

Dissertations and Theses

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 model bike and walk travel. To ensure scarce resources are used most effectively, accurate models sensitive to key policy variables are needed to support long-range planning and project evaluation, and to continue adding to our growing understanding of key factors driving walk and bike behavior. This research attempts to synthesize and advance …

Model-Based Analytics And Processes For Transportation Investment Alternatives Analyses: From Least Cost Planning To Multi Criterion Evaluation, Jeff Frkonja

PSU Transportation Seminars

Many public and private organizations that make decisions regarding whether and how to invest in transportation assets or programs do so via a structured decision-support process. This talk will address the technical aspects of the family of such processes that use travel demand model outputs—and other sources of quantified performance data—as inputs to analytic tools including benefit cost analysis (BCA) and multi criterion evaluation. Example applications of this framework have included tolling and pricing studies, capital investment alternatives analyses, and programmatic evaluations. Example processes include "Least Cost Planning" frameworks borrowed originally from the power generation industry.

The talk will also …