Webinar: Data-Driven Mobility Strategies for Multimodal Transportation
Wednesday, September 15, 2021, 10:00am to 11:00am PDT
OVERVIEW
Multimodal transportation systems (e.g., walking, cycling, automobile, public transit, etc.) are effective in increasing people’s travel flexibility, reducing congestion, and improving safety. Therefore, it is critical to understand what factors would affect people’s mode choices. With advanced technology, such as connected and automated vehicles, cities are now facing a transition from traditional urban planning to developing smart cities. To support multimodal transportation management, this study serves as a bridge to connect speed management strategies of conventional corridors to connected vehicle corridors.
The study consists of three main components. In the first component, the impact of speed management strategies along traditional corridors was evaluated. In the second component, the impacts of the specific speed management strategies, signal retiming and coordination, on transit signal priority (TSP) was studied. Finally, in the third component, the feasibility of using controller event-based traffic data for estimating multimodal signal performance measures was investigated. The research outcomes of this study will help decision-makers understand the data and infrastructure needs in supporting future multimodal planning, operation, and safety tasks.
KEY LEARNING OUTCOMES
- Understand the impacts of speed feedback sign along traditional corridors
- Understand the impacts of...
Webinar: The Impact of Transportation-Related Barriers on Self-Perceived Physical Health among Adults in the US
Tuesday, October 12, 2021, 10:00am to 11:00am PDT
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=1.17-1.39). Having higher education, higher income, and homeownership were inversely associated with poor self-perceived physical health.
The findings of this study suggest that as the gap between the number of household members and the number of vehicles present increases, respondents' self-perceived physical health deteriorates due to the uncertainty in having access to transportation when the need arises. Social workers, engineers, and policymakers should begin working on viable solutions to reduce or eliminate...
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