The Impact of Demographics, Built Environment Attributes, Vehicle Characteristics, and Gasoline Prices on Household Vehicle Holdings and Use

In this report, the authors formulate and estimate a nested model structure that includes a multiple discrete-continuous extreme value (MDCEV) component to analyze the choice of vehicle type/vintage and usage in the upper level and a multinomial logit (MNL) component to analyze the choice of vehicle make/model in the lower nest. Data for the analysis is drawn from the 2000 San Francisco Bay Area Travel Survey. The model results indicate the important effects of household demographics, household location characteristics, built environment attributes, household head characteristics, and vehicle attributes on household vehicle holdings and use. The model developed in the report is applied to predict the impact of land use and fuel cost changes on vehicle holdings and usage of the households. Such predictions can inform the design of proactive land-use, economic, and transportation policies to influence household vehicle holdings and usage in a way that reduces the negative impacts of automobile dependency such as traffic congestion, fuel consumption and air pollution.

• Record URL:
  http://swutc.tamu.edu/publications/technicalreports/167550-1.pdf
• 
• Supplemental Notes:
  • This research was supported by a grant from the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of Texas, Austin

  Center for Transportation Research, 3208 Red River Street
  Austin, TX  United States  78705

  Southwest Region University Transportation Center

  Texas A&M University
  3135 TAMU
  College Station, TX  United States  77843-3135
• Authors:
  • Sen, Sudeshna
  • Bhat, Chandra R
• Publication Date: 2006-9

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: 56p

Subject/Index Terms

• TRT Terms: Automobile ownership; Demographics; Land use; Multinomial logits; Travel surveys; Vehicle characteristics
• Uncontrolled Terms: Fuel prices; Nested logit models; Vehicle choice
• Geographic Terms: San Francisco Bay Area
• Subject Areas: Highways; Planning and Forecasting; Society; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01043615
• Record Type: Publication
• Report/Paper Numbers: SWUTC/06/167550-1, Report 167550-1
• Contract Numbers: 10727
• Files: UTC, TRIS
• Created Date: Mar 6 2007 2:53PM