Since 2014, the FTA requires UTPs to use the FFA form to report service and operating expenses for each served area. We used this information to allocate operating expenses and service indicators of each UTP into different UZAs. The form does not provide information about the share of capital expenses to UZAs, we allocate those expenses to different UZAs assuming that capital expenses incurred in a UZA are proportional to operating expenses.

This study emphasizes autonomous vehicle (AV) mode choices, including Americans’ willingness to pay (WTP) to ride in a shared AV fleet vehicle and the long-distance travel impacts of AVs. The results of this stated-preference survey provide valuable insights on privacy concerns, crash ethics, ride-sharing with strangers, long-distance travel and preferences for new vehicle technologies. The image provides an example of a question respondents encountered while completing the questionnaire.

The Air Pollution measurement dataset provides hourly-averaged PM2.5, temperature, and relative humidity data for six Minneapolis neighborhoods (Prospect Park, St. Anthony Park, Phillips, Blaine, Brooklyn Center, and Near North) from Oct. 2016 – April 2017 and five Atlanta schools (Lasiter HS, Meadow Creek HS, Drew Charter HS, Arcado Elementary, and the Children’s School) from Nov. 2017- April 2018

The data set allows you to compute the GHG, water and land footprints of food provisioning. Intensity by connecting community-wide city demand for the city of Delhi, with state specific resource intensity factors for GHG/energy, water and land of production as well as in-boundary resource impact for food use and food waste management.

For this study, we used cross-sectional data sources for health outcomes, infrastructure, demographics and air quality in metropolitan Atlanta.

The objective of this study was to develop a statistical relationship between social demographics and economic variables (SDE) with residential energy use (electricity and natural gas). The social, demographic and economic variable data was obtained from the US census Bureau for the year 2010, while the energy data was obtained from Georgia energy providers for the same temporal time frame. The study also assess the impact of urban heat island effect on residential energy with some spatial analysis of energy use with urban form data.