This webinar is hosted by the University of South Florida's Center for Urban Transportation Research (CUTR). A video recording may be available through CUTR.
This presentation will explore methods used by MPOs to understand the equity effects of regional transportation plans and investments, based on research conducted for the National Institute for Transportation and Communities (NITC). The webinar will examine how MPOs are identifying communities of concern with regard to transportation equity, along with techniques used in evaluating accessibility to jobs and services, modal options, distributional equity of investments, and other equity considerations.
The webinar includes case studies of equity methods being applied in two distinctly different regions that participated in the research effort: 1) Hillsborough County, (Tampa) Florida: a lower density, sprawling, auto dependent area with limited public transportation; and 2) Portland, Oregon: a higher density, compact urban area with a variety of travel options and a strong urban growth management system. The two MPOs are at different stages of addressing transportation equity in their planning and public engagement activities. Transportation planners from each of these MPOs will discuss the development and application of their equity analysis methods and how attention to equity is being integrated into...
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While the number of public bike share systems in the United States grew considerably in recent years, early evidence indicated that many systems were not serving the diverse populations of cities, particularly lower-income residents and people of color. Lack of bike share stations in...
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PRESENTATION ARCHIVE
OVERVIEW
Drawing from the framework of social determinants of health, the objective of this study is to investigate the cross-sectional association between transportation-related factors and self-perceived physical health among adults in the U.S.
Data for this study were derived from the 2017 National Household Travel Survey. An analytic sample of 71,235 respondents aged 18 and 64 years was analyzed using binary logistic regression. Of the 71,235 respondents examined, 8.9% perceived their physical health to be poor. About 36% of the respondents had fewer vehicles per individuals in the household.
Controlling for the effects of other factors, respondents who had fewer vehicles per individuals in the household were 1.27 times more likely to report poor self-perceived physical health when compared to their counterparts with more vehicles per individuals in the household (AOR=1.27, 95% CI=1.17-1...
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WEBINAR SLIDES
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WEBINAR SUMMARY
This webinar discusses research exploring how social identity factors (race and gender) influence drivers’...
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Friday Transportation Seminars at Portland State University have been a tradition since 2000. You can join us online at 11:30 AM.
PRESENTATION ARCHIVE
THE TOPIC
Past research and planning has highlighted the existence of pedestrian injury disparities throughout the US and some local agencies have performed cursory analysis in Oregon. However, no statewide analysis of pedestrian injuries in Oregon has been completed to see how these injury outcomes differ by race and income.
This presentation aims to help better understand the factors...
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Friday Transportation Seminars at Portland State University have been a tradition since 2000. You can join us in person at 11:30 AM, or you can also watch online.
PRESENTATION ARCHIVE
- View Jennifer Dill's presentation slides (Women of Color on Two Wheels)
- View John MacArthur's presentation slides (Adaptive Bikeshare)
- Watch the video
THE TOPIC
This seminar will include two papers that will be presented earlier in the week at the Annual Meeting of the Transportation Research Board in Washington, DC.
Adaptive Bikeshare: Expanding Bikeshare to People with Disabilities and Older Adults
Bike share systems are expanding efforts to be more equitable and accessible...
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As metropolitan area governments and others promote density-promoting “smart growth” policies, finer analysis is needed to quantify the impact of such policies on households' transportation and housing costs. Existing research suggests that households in urban areas trade-off between housing costs and transportation costs, but does not explore how policies to increase urban densities might explicitly impact this balance. Furthermore, the research does not adequately distinguish between the effect of urban area density and the effects of other factors associated with urban area density (e.g metropolitan area size and household incomes) on housing costs. This research uses the 2000 Census Public Use Micro Sample (PUMS) person and household data from 23 of the nation's most densely populated states to identify the impact of increased population density on three housing cost measures: household rents, housing unit values, and monthly mortgage payments. Log linear models were estimated for each housing cost measure using least-squares regression. Dependent variables included household, housing unit, and geographic area characteristics, including population density. The models were found to be very similar to one another in terms of the statistical significance...
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