A corridor specific regression model of modal split behavior in Columbus, Ohio.

Research output: Contribution to journalArticle

Abstract

The relationship between modal choice for the work trip and a series of socioeconomic and spatial variables is examined using census data for the Broad and High Street corridors in Columbus. The model distinguishes between passenger (bus and car-passenger) and non-passenger modes. 7 variables account for some 80% of variation in modal split with race, population density, and automobile ownership accounting for over 70%. High levels of multicollinearity lead to an underestimation of the influence of income and other variables on modal split. The Kain Model and a principal components regression model are employed to gain further insights into these relationships. -Author

Original languageEnglish (US)
Pages (from-to)1-18
Number of pages18
JournalOhio Geographers: Recent Research Themes
Volume8
StatePublished - Jan 1 1980

ASJC Scopus subject areas

  • Environmental Science(all)
  • Earth and Planetary Sciences(all)

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