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

Lao, Yong; Yang, Bo

i

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

2026-04-01
By Lao, Yong ; Yang, Bo

File Language:

English

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:

Cluster Analysis Data Analysis Driving Geographic Information Systems K-means Clustering Needs Assessment Predictive Models Regression Analysis Spatial Analysis Transportation Planning Vehicle Miles Of Travel
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
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:cfb6e38b39a728cfc3fe0a2c8df41ed4a77a17a9c20aa021e33da91d9a58049c2e73fff5e09d3767990ab9bbb286c0cf60cea20a435d145d8c4aa259cd1271f0
Download URL:

https://rosap.ntl.bts.gov/view/dot/89986/dot_89986_DS1.pdf
File Type:

[PDF - 273.71 KB ]

File Language:

English

ON THIS PAGE

Details Related Documents

ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.