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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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Nonprofit organizations are responsible for providing human services across the United States, often in partnership with government agencies. In this work, they address some of the most pressing social issues – including homelessness, poverty, health care and education. While many of these organizations consider location and accessibility crucial to supporting their clients – often locating services near bus or train stops, for example – little is known about the impact of new technologies, including ride hail services (also called Transportation Network Companies, or TNCs) like Lyft and Uber, on nonprofit accessibility.
Do these services help fill gaps in client needs? How are nonprofit organizations considering these services in meeting client needs?
This exploratory and qualitative study is among the first of its kind to measure the impact of TNCs and other emerging technologies on community mobility and the accessibility of human services, helping to build stronger communities. This study includes interviews with nonprofit service providers and clients...
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This webinar discusses research exploring how social identity factors (race and gender) influence drivers’...
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Equity requirements in shared micromobility programs have become increasingly prevalent in recent years, but our understanding of the scope and breadth of these requirements has been relatively limited. To address this gap in understanding, we collected documentation about 239 shared micromobility programs from the U.S. and have compiled all the data into an online, interactive dashboard. In this webinar, we will discuss the kinds of equity requirements that are most prevalent, the strategies cities/agencies employ to operationalize equity, and the extent to which these programs are monitored and evaluated. We’ll present findings from our review of 239 U.S. programs, supplemented by five case studies.
In addition, we’ll introduce attendees to two practitioner-focused tools we created to accompany this work:
1)...
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Transit-oriented development (TOD) projects in low-income neighborhoods have the potential to provide needed transportation access to a segment of the population that stands to benefit significantly from these large-scale transit infrastructure projects. This research project reveals that large-scale TOD projects have the potential of leading to neighborhood revitalization and equitable outcomes in low-income Latino communities. But these positive outcomes depend on both the process and context of these particular neighborhoods, and how transportation planners incorporate the various forms of political, financial and cultural capital that exist in these communities into the planning and implementation process of TOD projects. This comparative case study analyzed the Fruitvale Transit Village in Oakland and the MacArthur Park METRO TOD in Los Angeles. We...
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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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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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