Project Summary
This project represents collective projects funded under the University of California Transportation Center (UCTC) that was authorized by Congress by the Transportation Equity Act for the 21st Century in fall 1998.
This project represents collective projects funded under the University of California Transportation Center (UCTC) that was authorized by Congress by the Transportation Equity Act for the 21st Century in fall 1998.
Fellowships provided under UCTC (TEA-21)
Freight planning is increasingly important because of steady increases in freight demand. Many states have realized the importance of the freight industry and have conducted freight planning studies in order to understand the existing problems in the freight network. Network integration is a significant factor in overall systems efficiency. Improvement projects should be directed to eliminate bottlenecks in the network. Our research focus is to develop an intermodal freight network design model that will serve as a decision support tool for allocating fixed budgets to such improvement projects. In order to analyze the benefits of improvement projects the model developed will combine a budget allocation model and a freight traffic assignment model in order to allocate the limited resources to the best set of improvement projects.
Though much of the research on the environmental health effects of vehicular emissions has been around freeways, there is reason to suspect arterials as a major source of risk. Especially considering present-day trends of infill development, patterns of built form around arterials may trap elevated concentrations of air pollutants (e.g., street canyons created by multi-storey condominiums and office buildings) in close proximity to residences. Bringing together expertise in transportation and land use planning and environmental modeling, the research team proposes an unprecedented analysis of the environmental impacts of major arterials. Using a fine-scale wind field and dispersion model (Quick Urban and Industrial Complex), the team will simulate the transport of vehicular particulates (1 and 2.5 micron diameter) around five heavily-traveled Southern California arterials chosen to correspond to five land use types. The model is able to account for the effects of the micro-environment (i.e., built form and other infrastructure) on pollutant transport. The field-calibrated model will then be used to simulate the effects of: (i) alternative land development strategies (e.g., varying building height and setback requirements, infill patterns, zoning) and (ii) alternative transport policies (e.g., idling time reduction, stoplight synchronization, truck traffic scheduling and rerouting). The research will enable us to assess the urgency of incorporating arterials into the environmental planning programs of resource, land use, and transportation agencies, and will provide a method for doing so.
As emissions from millions of vehicles increase substantially every year, air quality is currently a major problem in California and it seems increasingly difficult to find effective solutions. These three independent yet related projects attempt to propose possible solutions to deal with Californiaâs air pollution problem. The first project will evaluate and analyze the increasing interest for hybrid cars in California by quantifying the short term impacts of concerns for air pollution, energy efficiency policies, allowing single-occupant hybrid vehicle to use high-occupancy vehicle (HOV) lanes in terms of availability, and long term impacts for air pollution and global warming. The second project attempts to analyze social and environmental impacts of pollution from freight train traffic from/to Southern California ports through Alameda Corridor.   The final project revises the work by Giuliano, Hwang and Wachs on the performance of Employee Trip Reduction Program (Rule 2202) in Southern California. This project will review, evaluate, and analyze the program with is part of Transportation Demand Management (TDM) for improving air quality and traffic congestion and making policy recommendations.