SOCIO-ECONOMIC VARIABLE FORMS FOR TRANSPORTATION DEMAND PREDICTION

The study suggests the use of three statistical procedures for formulating the demand model, based on functional forms of variables that most significantly express the travel demand relationship. The best functional form of the pairing-like variable is defined as the one which will yield a statistically sound model of travel estimation, as indicated by stepwise multiple regression techniques. It is anticipated that by incorporating these variable forms, the predictive power of resulting travel demand models will be substantially improved, while data requirements are minimized. These suggested procedures for evaluating alternative variable forms should achieve their validity over a wide range of applications in any gravitational model for intercity travel demand estimation.

• Supplemental Notes:
  • Presented at the 1976 IEEE Region 6 (Western USA) Conference in Salt Lake City, Utah, May 7-9 1975.
• Corporate Authors:

  Institute of Electrical and Electronics Engineers (IEEE)

  3 Park Avenue, 17th Floor
  New York, NY  United States  10016-5997
• Authors:
  • Yu, J C
• Conference:
  • Institute of Electrical and Electronics Engrs Proc
• Publication Date: 1975

Media Info

• Pagination: p. 157

Subject/Index Terms

• TRT Terms: Analysis; Intercity travel; Mode choice; Passengers; Statistical analysis; Travel demand
• Old TRIS Terms: Analytical techniques
• Subject Areas: Data and Information Technology; Operations and Traffic Management; Passenger Transportation; Railroads;

Filing Info

• Accession Number: 00142297
• Record Type: Publication
• Source Agency: Engineering Index
• Report/Paper Numbers: 75CH0952-2, Reg 6 Proceeding
• Files: TRIS
• Created Date: Dec 15 1977 12:00AM