Commuting Distances and Times under Different Transportation Modes for U.S. Households [supporting datasets]

Details

• Alternative Title:
  U.S. Household Commuting Dataset and Transportation Fairness
• Creators:
  Zhang, Peter ; Hao, Hao ; Wang, Hai
• Corporate Creators:
  Carnegie Mellon University
• Corporate Contributors:
  Carnegie Mellon University. Traffic21 University Transportation Center (UTC)
• Subject/TRT Terms:
  • Ridesourcing
  • Public transit
  • Transportation modes
  • Policy
  • Commuting
  • Travel modes Transportation systems
• Resource Type:
  Dataset
• Geographical Coverage:
  United States
• Corporate Publisher:
  Mobility21 (UTC)
• Abstract:
  Efficient and fair transportation planning creates opportunities and equity for jobs, health care, and education. Therefore, data consolidation for transportation systems provides basis for evidence based policies. In this work, we construct a dataset that documents home-to-job commuting time and distance information for the 100 most populated U.S. urban areas. Our dataset builds on the U.S. Census Bureau's Longitudinal Employer-Household Dynamics Dataset, which provides origin (home) and destination (job) location information for households. For these origin-destination (OD) pairs, we derive commuting time and distance information under different travel modes, each a combination of walking, public transit, and ridesourcing. We construct data under different modes so policymakers and researchers have information about alternatives and can perform what-if analysis. Towards the end of this data sheet, we document a sample use case to illustrate this goal.
• Format:
  ZIP
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/61589/dot_61589_DS1.pdf
• File Type:
  [PDF - 551.05 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:70940e88128bfbd4aa4e7228d88a7c42884af541dafdcc5dd64ed34e9147f0c2b4867f6462d14519bef2c5460a211d9f1c2dcdadd907d94d47c645b4248af115