Estimating local car ownership models

Many studies in the transport demand literature have shown that income is an important factor in determining how many cars a household owns. When the models used to measure the strength of this relationship are estimated on cross-sectional data, they typically yield one overall value as the estimate. Local circumstances will, however, vary. This paper illustrates the use of the geographically weighted regression technique to estimate the individual strength of this relationship for each of the United Kingdom electoral wards. Use of this type of model enables a wards' income elasticity to be based on both the local estimate of the strength of this relationship and the current local level of car ownership. How the use of this local elasticity changes future forecasts of the size of the vehicle fleet is illustrated.

• Record URL:
  http://www.sciencedirect.com/science/article/B6VG8-4K4PSK7-1/2/980eb543331a80710a5c047481a29893
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/09666923
• Supplemental Notes:
  • Abstract reprinted with permission from Elsevier
• Authors:
  • Clark, Stephen D
• Publication Date: 2007-5

Language

• English

Media Info

• Media Type: Print
• Features: Appendices; Figures; Tables;
• Pagination: pp. 184-197
• Serial:
  • Journal of Transport Geography
  • Volume: 15
  • Issue Number: 3
  • Publisher: Elsevier
  • ISSN: 0966-6923
  • Serial URL: http://www.elsevier.com/locate/jtrangeo

Subject/Index Terms

• TRT Terms: Automobile ownership; Estimating; Income; Local transportation; Regression analysis; Travel demand
• Geographic Terms: United Kingdom
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01049746
• Record Type: Publication
• Files: TRIS
• Created Date: May 16 2007 1:44PM