Post date: Thu, 05/10/2018 - 12:37pm
Event Date:
Aug 09, 2018
Content Type: Events
OVERVIEW

Every day transit riders ask the same question: when’s the next one coming? To answer this question, transit agencies are transitioning to providing real-time transit information through smartphones or displayed at transit stops. 

The proliferation of transit planning and real time arrival tools that have hit the market over the past decade is staggering. Yet with transit ridership on the decline, agencies can’t afford to ignore the importance of providing accurate, real time information to their customers. Real-time transit information improves the reliability and efficiency of passenger travel, but barriers have prevented some transit agencies from adopting the GTFSrealtime v1.0 technology. A new NITC-funded study in May led by Sean Barbeau of the University of South Florida seeks to remove some of these barriers to make real-time transit info a universal amenity. As a public agency partner, moovel focuses on delivering simple, frictionless and accurate information through mobile applications. From mobile ticketing to multi/intermodal trip planning, booking and payment, moovel’s mobile apps take a customer-first approach to enhance the customer...

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Post date: Mon, 12/04/2017 - 2:28pm
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Content Type: News Item
Principal Investigator: Liming Wang, Portland State University
Learn more about this curriculum and how you can apply it at your school by viewing the one-page Executive Summary and the full Final Report on the Project Overview page.

A NITC education grant funded a new course for planners, engineers, scientists and students to help improve their data processing workflow.

Liming Wang, an assistant professor in the Toulan School of Urban Studies & Planning at Portland State University, is on a mission to simplify data processing. A NITC education grant supported his efforts to develop a new course: Introduction to Data Science (Aug 6 - 10, 2018). The course is designed to help students and professionals to improve their workflow for data-intensive research. The course covers how to collect data, clean them up, visualize, explore, model and eventually compile the data with findings in a report.

"I've pretty...

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Post date: Mon, 06/05/2017 - 5:28pm
Event Date:
Jun 12, 2017
Content Type: Event (discontinue usage)

The Portland State University Department of Civil and Environmental Engineering is pleased to announce that NITC dissertation fellow Kristina Currans will defend her PhD Dissertation: "Data and Methodological Issues in Assessing Multimodal Transportation Impacts for Urban Development."

Advisor: Dr. Kelly J. Clifton

Since its first edition in 1976, the Institute of Transportation Engineers (ITE) Trip Generation Handbook has become the predominant method for estimating the transportation impacts of land use, despite the lack of sensitivity to changes in the urban environments. As a result, local governments continue to be hampered by the urban application of the Handbook,...

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Post date: Tue, 05/30/2017 - 1:13pm
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Content Type: News Item

As social media comes to permeate every aspect of modern life, public transit is no exception.

Transit agencies are increasingly making social media an integral part of their day-to-day management, using it to connect with riders about system alerts, live transit arrival information, service disruptions and customer feedback.

However, there is very little evidence to show how effective these efforts really are in achieving agency goals.

Measuring the Impacts of Social Media on Advancing Public Transit, a NITC project led by Jenny Liu of Portland State University, seeks to provide a better understanding of how transit agencies use social media and to develop some performance measures to assess the impacts of social media on promoting public transit.

This project aims to measure how social media actually impacts agency goals like increasing recruitment and retention of transit riders; increasing resources and customer satisfaction; addressing system performance efficiency; and improving employee productivity and morale.

A survey of 27 public transportation providers across the country found that although 94% of those surveyed agencies used some form of social media, only 28% had a social media plan or strategy prior to implementation.

Liu’s research explores the types of performance measures that could...

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Post date: Fri, 12/23/2016 - 11:39am
Event Date:
Mar 03, 2017
Content Type: Events

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Big data and the future of travel modeling

 

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 a...

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Post date: Mon, 11/14/2016 - 10:56pm
Event Date:
Dec 13, 2016
Content Type: Events

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If you would like to receive continuing education credits such as PDH or CM, please make sure to complete this evaluation form once you've watched the entire video so that we have a record of your attendance.

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Post date: Tue, 10/11/2016 - 12:11pm
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Content Type: News Item

A new NITC report introduces an important tool for safety analysis: a naturalistic method of data collection that can be used to improve the cycling experience.

Before now, most naturalistic studies (studies where data are collected in a natural setting, rather than a controlled setting) in bicycle safety research have been captured by stationary cameras and haven't followed cyclists along a route.

Researchers in this study used first-person video and sensor data to measure cyclists' reactions to specific situations.

Safety research in general has advanced significantly through naturalistic driving studies, which gather data from real drivers to illuminate the causes of traffic incidents both major and minor. For motorized vehicles, the U.S. Department of Transportation has been developing portable, vehicle-based data collection technologies since the early 1990s.

Portland State University researchers Feng Liu, Miguel Figliozzi and Wu-chi Feng sought to capture the cycling experience with physiological sensors and helmet-mounted cameras.

Their report, Utilizing Ego-centric Video to Conduct Naturalistic Bicycling Studies, offers a successful method for integrating video and sensor data to record cyclists...

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Post date: Tue, 04/26/2016 - 8:26am
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Content Type: News Item

NITC researchers have tested a method of collecting transportation behavior data using a smartphone app, with promising results.

The process could save transit agencies “hundreds of thousands of dollars,” says lead researcher Christopher Bone, and give them access to comprehensive, real-time data about their ridership, all without compromising passengers’ privacy.

Christopher Bone, Marc Schlossberg, Ken Kato, Jacob Bartruff and Seth Kenbeek of the University of Oregon designed a custom mobile application, which allows passengers to volunteer information about their travel habits, and recruited passengers to use it in a test case.

Their report, “Crowdsourcing the Collection of Transportation Behavior Data,” was released this month.

Download it here.

Participants were asked to use the app for three weeks on Lane Transit District’s EmX bus line located in the Eugene-Springfield area in western Oregon. Researchers placed sensors on the buses and at stops to detect when someone using the app was boarding. When a user came within range of a sensor, they...

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