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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Assessing Public Health Benefits Of Replacing Freight Trucks With Cargo Cycles In Last Leg Delivery Trips In Urban Centers, Jennifer C. Hartle, Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, Matt Mcgahan
Assessing Public Health Benefits Of Replacing Freight Trucks With Cargo Cycles In Last Leg Delivery Trips In Urban Centers, Jennifer C. Hartle, Ossama (Sam) A. Elrahman, Cara Wang, Daniel A. Rodriguez, Yue Ding, Matt Mcgahan
Mineta Transportation Institute
Increased urbanization, population growth, and demand for time-sensitive deliveries means increased freight movement in cities, which contributes to emissions, noise, and safety concerns. One innovative mode gaining widespread attention for urban deliveries is cargo cycles—bicycles adapted for freight delivery. Despite the recognized potential and possible success of transporting at least 25% of freight via cycle, research remains limited. This research investigates the potential of cargo cycle delivery for last mile freight in Oakland, California, with a focus on the West Oakland neighborhood. The data collection included interviews, focus groups, vehicle field observation and counts, and traffic simulation modeling. The traffic …
Congestion Costs And Scheduling Preferences Of Car Commuters In California: Estimates Using Big Data, Jinwon Kim, Jucheol Moon
Congestion Costs And Scheduling Preferences Of Car Commuters In California: Estimates Using Big Data, Jinwon Kim, Jucheol Moon
Mineta Transportation Institute
On average, California car commuters waste 4–5 minutes per morning commute due to congestion. Multiplied across all California car commuters, those few minutes entail a yearly total of approximately 2.3 billion hours of time wasted, costing 6 billion dollars. The objective of this study is to quantify congestion costs and determine how commuters adapt to the level of congestion they face (i.e., commuters’ scheduling utility functions). To that end, this research developed a model of trip scheduling under congestion to construct California commuters’ travel-time profiles, i.e., the menu of travel times that each individual would likely face according to alternate …