planning

This policy brief summarizes findings from the Climate Adaptation Planning Survey, an online survey of planners conducted in June 2015, that assessed the adaptation planning capacity, the adequacy of technical tools, and current preparation levels of local and state agencies as they focus their work on adaptation to climate change.

This paper presents a method for incorporating exposure to traffic-related air pollution as another consideration in the bicycle route planning process.

To validate their approach, the authors construct test cases based on the New York City taxicab dataset.

Dataset used in the project "Tools and Best Practices for Land Use Efficiency and Equity in Cities" by Peter Nguyen and Jesus M. Barajas.

These data stem from a project that developed a powerful and user-friendly web-based version of the Integrated Transport and Health Impact Model tool for the Sacramento Area Council of Governments (SACOG) six county region

The dataset is generated as the outcome of the research project - Emissions Impact of Connected and Automated Vehicle Deployment in California.

This dataset includes model results on trips, VMT, and emissions for California, generated as the outcome of the research project, "Emissions Impact of Connected and Automated Vehicle Deployment in California".

The dataset for this study was collected from various sources including Affordable Housing Communities Data, demographic information from the American Community Survey, OpenStreetMap road network, Points of Interest (POIs) data, General Transit Feed Specification (GTFS) data, and Longitudinal Employer-Household Dynamics (LEHD) data.

This dataset contains real-world trajectories of a heavy-duty truck traveling on two urban freight corridors—Alameda St and Wilmington Ave—near the Ports of Los Angeles and Long Beach in California.