Portland State University

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Summary: The transportation system is the backbone of the United States' economy, and transportation is an essential part of everyday life for American citizens. It is essential that the transportation system continue to provide accessibility and connectivity to an ever-evolving global economy. A key way to do so is to embrace, develop and implement new technologies. One of the newest and most promising facets of transportation-related technology is in the field of connected mobility. The vision behind connected mobility is of a transportation system where vehicles, travelers, and infrastructure are all wirelessly connected with one another and able to transmit real-time data about things like weather, location, and vehicle and infrastructure status. Such a degree of connectivity could have substantial benefits for the safety, mobility, and sustainability of the domestic transportation system, including accident prevention and congestion reduction. In recent years, major strides have been made into the research and development of connected mobility technology and some field-testing has commenced, but there is a need for more attention and investment from stakeholders throughout the transportation community and beyond. 

Bio: Robert Bertini is a...

The video begins at 0:29.

This summer we're hosting a two-part data science course. You can register for one or the other– or attend both parts at a discount: Data Science Course 2018, Part 1: Introduction to Scientific Computing for Planners, Engineers, and Scientists

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CLICK HERE TO REGISTER

Did you ever feel you are “drinking from a hose” with the amount of data you are attempting to analyze? Have you been frustrated with the tedious steps in your data processing and analysis process and thinking, “There’s gotta be a better way to do things”? Are you curious what the buzz of data science is about? If any of your answers are yes, then this course is for you.

Classes will all be hands-on sessions with lecture, discussions and labs. Participants can choose to sign up for one or both courses. For more information, download the...

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Abstract: We propose to decompose residential self-selection by understanding its formation process. We take a life course perspective and postulate that locations experienced early in life have a lasting effect on our locational preferences in life. In other words, what was experienced spatially is a key factor contributing to our residential self-selection and our preferences in residential locations are formed long before our own self-selection begins.  We further hypothesize that prior locational influence interacts with period effect such that the same location experienced in different periods may have distinct effects.  Using an empirically collected dataset in the New York Metropolitan Region, we estimated a series of models to test these hypotheses. The results demonstrate that prior locational influence precedes residential self-selection. Furthermore, we show a variety-seeking behavioral pattern resulted from locations experienced during adolescence.