Spatial-Temporal Dynamics of Daily and Per Capita VMT in California: A County-Level Analysis (2019–2023) [Research Brief]

Details

• Creators:
  Lao, Yong ; Yang, Bo
• Corporate Creators:
  San Jose State University. College of Business. Mineta Transportation Institute ; California State University, Monterey Bay
• Corporate Contributors:
  State of California SB1 2017/2018, Trustees of the California State University Sponsored Programs Administration ; United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Vehicle miles of travel
  • Cluster analysis
  • Regression analysis
  • Geographic information systems
  • Spatial analysis
  • Needs assessment
  • Data analysis
  • Driving
  • Transportation planning
  • Predictive models
  More +
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Edition:
  Research Brief
• Corporate Publisher:
  San Jose State University. College of Business. Mineta Transportation Institute
• Abstract:
  We analyzed county-level Daily VMT (DVMT) data from 2019 to 2023, primarily sourced from the Highway Performance Monitoring System (HPMS). Our comprehensive approach relied on two primary methodologies: GIS-supported spatial analysis and advanced predictive modeling.
• Format:
  PDF
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/89986/dot_89986_DS1.pdf
• File Type:
  [PDF - 273.71 KB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:cfb6e38b39a728cfc3fe0a2c8df41ed4a77a17a9c20aa021e33da91d9a58049c2e73fff5e09d3767990ab9bbb286c0cf60cea20a435d145d8c4aa259cd1271f0