Estimating Nonmotorized Travel Demand

The modeling of nonmotorized travel demand has mostly been conducted at the large spatial level (e.g., city, county, or census tract level) by using data from the Bureau of the Census and the National Household Travel Survey. This paper introduces a modeling approach for estimating the mode share of nonmotorized trips by using data from multiple sources at a finer spatial scale. The correlations between a number of socioeconomic, environmental, and infrastructural factors and the nonmotorized share of the daily commute are analyzed at the level of the census block group. A neighborhood analysis concept is developed to take the length of nonmotorized trips into consideration. Multiple regression analysis shows that employment density, the percentage of the student population, median household income, and average sidewalk length together provide the strongest power for prediction of the nonmotorized mode share. The potential applications of the methodology and the implications for data collection are also discussed.

• Record URL:
  https://doi.org/10.3141/2002-03
• 
• Summary URL:
  http://scholar.google.com/scholar_lookup?title=Estimating+Nonmotorized+Travel+Demand&author=M.+An&author=M.+Chen&publication_year=2007
• Availability:
  • Find a library where document is available. Order URL: http://www.trb.org/Main/Public/Blurbs/159489.aspx
• Authors:
  • An, Meiwu
  • Chen, Mei
• Publication Date: 2007

Language

• English

Media Info

• Media Type: Print
• Features: Figures; References; Tables;
• Pagination: pp 18-25
• Monograph Title: Pedestrians 2007
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2002
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Data collection; Employment; Income; Modal split; Mode choice; Multiple regression analysis; Neighborhoods; Nonmotorized transportation; Socioeconomic factors; Students; Travel demand; Travel surveys; Trip length
• Subject Areas: Economics; Education and Training; Highways; Pedestrians and Bicyclists; Planning and Forecasting; Society; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01044078
• Record Type: Publication
• ISBN: 9780309104289
• Files: TRIS, TRB, ATRI
• Created Date: Feb 8 2007 7:06PM