INCORPORATING WORK TRIP ACCESSIBILITY IN NONWORK TRIP GENERATION MODELS IN SAN FRANCISCO BAY AREA

Efforts to include disaggregate work trip accessibility in models of nonwork trip generation are described. Reported household-level, one-way, average home-based work trip duration is used in home-based shop/other and home-based social/recreation models for the San Francisco Bay Area. The survey data and models show an inverse relationship between work trip duration and home-based nonwork trip frequency: as work trip duration increases, nonwork trip frequency decreases. Hybrid trip generation models using multiple regression techniques, cross-classified by workers in household level and vehicles in household level, are estimated using data from the 1981 and 1990 household travel surveys. Work trip duration is excluded in models estimated for nonworking households and is included in models estimated for single-worker and multiworker households. Elasticity analyses show that a 10% decrease in the regional work trip duration yields a 1.2% increase in regional home-based shop/other trips and a 0.9% increase in regional home-based social/recreation trips. The research helps to identify practical means to incorporate workplace accessibility in regional travel demand model forecasting systems, to better analyze the issue of induced trip making, and to provide a better understanding of the linkage between congestion and trip frequency choice behavior.

• Record URL:
  • https://doi.org/10.3141/1556-06
• Summary URL:
  • http://scholar.google.com/scholar_lookup?title=INCORPORATING+WORK+TRIP+ACCESSIBILITY+IN+NONWORK+TRIP+GENERATION+MODELS+IN+SAN+FRANCISCO+BAY+AREA&author=C.+Purvis&author=M.+Iglesias&author=V.+Eisen&publication_year=1996
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/0309059550
• Supplemental Notes:
  • This paper appears in Transportation Research Record No. 1556, Transportation Forecasting: Short-Term Practical Improvements, Travel Behavior Models and Issues, and Artificial Intelligence.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Purvis, C L
  • Iglesias, M
  • Eisen, V A
• Publication Date: 1996

Language

• English

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 37-45
• Serial:
  • Transportation Research Record
  • Issue Number: 1556
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Accessibility; Forecasting; Mathematical models; Multiple regression analysis; Time duration; Traffic congestion; Transportation; Travel demand; Travel surveys; Trip generation; Work trips
• Uncontrolled Terms: Duration; Transportation models
• Geographic Terms: San Francisco Bay Area
• Old TRIS Terms: Multiple regression; Nonwork trip frequency
• Subject Areas: Planning and Forecasting; Transportation (General); I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 00732415
• Record Type: Publication
• ISBN: 0309059550
• Files: TRIS, TRB
• Created Date: Feb 18 1997 12:00AM