Portland State University

The video begins at 3:22.

Steve Gehrke (CEE PhD) - Application of Geographic Perturbation Methods to Residential Locations in the Oregon Household Activity Survey: Proof of Concept

Travel demand models have advanced from zone-based methods to favor activity-based approaches that require more disaggregate data sources. Household travel surveys gather disaggregate data that may be utilized to better inform advanced travel demand models and also improve the understanding of how nonmotorized travel is influenced by a household’s surrounding built environment. However, the release of these disaggregate data is often limited by a confidentiality pledge between the household participant and survey administrator. Concerns regarding the disclosure risk of survey respondents to household travel surveys must be addressed before these household-level data may be released at their disaggregate geography. In an effort to honor this confidentiality pledge and facilitate the dissemination of valuable travel survey data, this research: (i) reviews geographical perturbation methods that seek to protect respondent confidentiality; (ii) outlines a procedure for implementing one promising practice, referred to as the donut masking technique; and (iii) demonstrates a proof of concept for this technique on ten respondents to a household activity travel survey in the Portland metropolitan region. To examine the balance...

Transportation Seminars at Portland State University have been a tradition since 2000. Formerly known as the Friday Transportation Seminar series, we've opened up PSU Transportation Seminars to other days of the week to better accommodate attendance. You can always watch online via Zoom.

PRESENTATION ARCHIVE

• Video
• Presentation Slides
• PDH Certificate

THE TOPIC 

As a social determinant of health, transportation significantly contributes to well-being through several pathways. Researchers and practitioners have called for health indicators as one way to integrate public health concerns into transportation decision-making. However, it is unclear how indicators are used and what their impact is on policy. This case study of five cities explored how health-related indicators are being used in municipal transportation plans, whether they are institutionalized into transportation agency...

The video begins at 2:51.

Adam Moore: Bus Stop Air Quality: An Empirical Analysis of Exposure to Particulate Matter at Bus Stop Shelters

Congested traffic corridors in dense urban areas are key contributors to the degradation of urban air quality. While waiting at bus stops, transit patrons may be exposed to greater amounts of vehicle-based pollution, including particulate matter, due to their proximity to the roadway. Current guidelines for the location and design of bus stops do not take into account air quality or exposure considerations. This study compares the exposure of transit riders waiting at three-sided bus stop shelters that either: 1) face the roadway traffic or 2) face away from the roadway traffic. Shelters were instrumented with air quality monitoring equipment, sonic anemometers, and vehicle counters. Data were collected for two days at three shelters during both the morning and afternoon peak periods. Bus shelter orientation is found to significantly affect concentration of four sizes of particulate matter: ultrafine particles, PM1, PM2.5, and PM10. Shelters with an opening oriented towards the roadway were consistently observed to have higher concentrations inside the shelter than outside the shelter. In contrast, shelters oriented away from the roadway were observed to have lower concentrations inside the shelter than outside the shelter. The differences in particulate matter...

Watch video

View Patrick Singleton's slides

View Ryan Dann's slides

Following the 2015 annual meeting of the Transportation Research Board, this Friday seminar will showcase some of Portland State University's student TRB research.

Presenters:

Patrick Singleton, GRA in civil and environmental engineering

The theory of travel decision-making: A conceptual framework of active travel behavior

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